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GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

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Actowiz Solutions Frequently Asked Questions – FAQs

Questions

Web Scraping Service Web Crawling Web Scraping API Live Crawler Web Scraping with AI Web Data Mining Mobile App Datasets Scraper Dashboard E-Commerce Food Delivery Quick Commerce Real Estate Travel Liquor Grocery Fashion & Beauty Toys & Gifting Dating HR & Recruitment Stock Market and Financial EV & Auto Ride-Hailing & Delivery Automobile OTT Streaming News & Media Social Media Data

Web Scraping Service

What is Web scraping? +
Web scraping is an automated technique used to extract large amounts of data from websites. It helps businesses collect structured information for analysis, market research, and competitive intelligence. By using web scrapers, companies can monitor trends, pricing, and customer behavior efficiently.
How Does Web Scraping Work? +
Web scraping involves using bots or scripts to send requests to web pages, extract the required data, and store it in a structured format. The process includes fetching HTML content, parsing information, and saving it for further analysis. Advanced techniques use AI and machine learning for better accuracy.
Is Web Scraping Legal? +
Web scraping legality depends on the website’s terms of service and how the data is used. Scraping publicly available data is generally legal, but extracting private or copyrighted content without permission can lead to legal consequences. It’s best to follow ethical scraping practices.
What Are the Common Uses of Web Scraping? +
Web scraping is widely used for market research, price comparison, lead generation, sentiment analysis, and real estate data collection. Businesses leverage scraped data to track competitors, monitor trends, and make data-driven decisions across various industries, including finance, healthcare, and e-commerce.
What Data Can Be Extracted Using Web Scraping? +
Web scraping can extract diverse data types, including product prices, customer reviews, real estate listings, stock market trends, and social media insights. Businesses use this information to analyze market trends, optimize pricing strategies, and enhance customer engagement.
What Are the Challenges in Web Scraping? +
Common challenges include website structure changes, anti-scraping measures like CAPTCHAs, IP blocking, and data accuracy. Businesses use rotating proxies, headless browsers, and AI-based scraping techniques to overcome these issues and ensure reliable data extraction.
How Does Web Scraping Benefit Businesses? +
Web scraping provides businesses with real-time data for competitive analysis, pricing optimization, and customer insights. It helps companies track market trends, understand consumer behavior, and make data-driven decisions to improve profitability and efficiency.
What Are the Best Tools for Web Scraping? +
Popular web scraping tools include BeautifulSoup, Scrapy, Selenium, and Puppeteer. These tools help extract data efficiently by automating browsing, handling dynamic content, and bypassing anti-scraping mechanisms. Cloud-based scraping solutions like Actowiz Solutions provide scalable and real-time data extraction.
How Can Web Scraping Be Used in Real Estate? +
In real estate, web scraping is used for tracking property prices, rental trends, mortgage rates, and market demand. Investors, realtors, and analysts use real estate data extraction to make informed decisions, optimize pricing strategies, and identify profitable opportunities.
How Can Actowiz Solutions Help with Web Scraping? +
Actowiz Solutions provides end-to-end web scraping services, offering real-time data extraction, advanced analytics, and compliance-driven solutions. Whether for real estate, e-commerce, or finance, Actowiz ensures high-quality, structured data for smarter business decisions.

E-Commerce

What is e-commerce data scraping? +
E-commerce data scraping collects product, price, inventory, and review data from online stores in real-time, enabling brands to track trends, optimize pricing, and monitor competitor activity for faster decision-making.
How does real-time e-commerce analytics help retailers? +
It identifies trending products, seasonal spikes, and customer behavior instantly. Businesses can optimize stock, promotions, and pricing using real-time insights for improved sales and market responsiveness.
Can e-commerce scraping track competitor pricing? +
Yes. Scraping provides instant competitor pricing, discounts, and stock updates, allowing brands to adjust dynamically and maintain price competitiveness across marketplaces.
How do brands monitor product performance? +
Brands use scraped data to track top-selling SKUs, ratings, and reviews in real-time, highlighting popular items, optimizing inventory, and ensuring consistent availability for consumers.
What are trending product insights in e-commerce? +
By analyzing sales, reviews, and social mentions, companies discover trending products and emerging categories, enabling trend tracking to boost visibility and capture market share.
How does data scraping support demand forecasting? +
Scraping historical and live sales data allows brands to anticipate demand spikes, preventing stockouts and overstocking using predictive analytics.
Can customer sentiment be monitored? +
Yes. Scraping reviews, ratings, and comments provides real-time sentiment analysis, helping brands refine messaging, improve products, and boost customer loyalty.
How can promotions be optimized with data? +
Real-time insights allow brands to highlight trending products, schedule discounts, and adjust campaigns dynamically, ensuring effective marketing strategy execution.
How does scraping help identify emerging product categories? +
Tracking sales, reviews, and social trends across marketplaces reveals rising product categories, giving companies a competitive edge in trend identification.
Can scraped data improve operational efficiency? +
Yes. Insights into stock levels, pricing, and trending demand enable brands to streamline logistics and optimize supply chains using data-driven decisions.

Food Delivery

What is food delivery data scraping? +
Food delivery data scraping collects menus, prices, availability, and reviews from delivery apps in real-time, helping restaurants and aggregators optimize offerings and identify trending dishes.
How can trending menu items be identified? +
By analyzing orders, reviews, and ratings, businesses can spot the fastest-growing dishes and seasonal favorites using trend analytics.
Can delivery pricing be monitored dynamically? +
Yes. Real-time scraping tracks competitor pricing and promotions, enabling dynamic pricing adjustments to stay competitive.
How does data scraping help inventory management? +
Scraping stock levels and delivery availability ensures restaurants maintain adequate inventory, reduce waste, and streamline supply chain operations.
Can customer sentiment be tracked? +
Analyzing reviews and ratings in real-time allows businesses to gauge satisfaction and improve offerings through sentiment analysis.
How does trend prediction work? +
Historical and live order data is used to forecast dish popularity, helping brands plan promotions and menu updates with predictive analytics.
How is menu optimization achieved through data scraping? +
Scraped data helps adjust pricing, add high-demand items, and remove low-performing dishes, improving overall menu performance.
Can restaurants track competitors effectively? +
Yes. Real-time insights on competitor menus, pricing, and promotions support competitive intelligence in the food delivery space.
How does scraping improve marketing campaigns? +
Data reveals trending items, popular price points, and customer preferences, enabling targeted campaigns with real-time insights for higher conversions.
Can menu trends vary regionally? +
Yes. Scraping reveals which dishes are popular in specific cities or neighborhoods, helping restaurants tailor offerings using regional trend analysis.

Quick Commerce

What is quick commerce data scraping? +
Quick commerce data scraping collects product, inventory, and pricing data from ultra-fast delivery platforms in real-time, enabling trend identification and demand forecasting.
How does trending product detection work? +
By analyzing order volumes and reviews, businesses spot popular items instantly, leveraging real-time insights to meet consumer demand efficiently.
Can inventory levels be monitored continuously? +
Yes. Scraping tracks stock across micro-warehouses and fulfillment centers, preventing shortages and optimizing supply chain operations.
How is pricing optimized for quick commerce? +
Dynamic adjustments based on competitor pricing and local demand ensure price competitiveness while maximizing sales margins.
Can consumer preferences be tracked? +
Yes. Ratings, reviews, and order patterns provide consumer behavior insights for product assortment planning and promotions.
How does data scraping improve delivery efficiency? +
Demand prediction and stock tracking reduce delays, ensuring faster fulfillment and improved operational performance.
How are competitor trends analyzed? +
Scraping competitor listings, prices, and stock levels provides actionable competitive intelligence for faster strategic decisions.
Can product assortment be refined? +
Tracking trending SKUs allows brands to highlight popular items, remove underperforming stock, and maintain product relevance.
How does real-time analytics impact marketing? +
Promotions and notifications can target trending items dynamically using real-time insights, increasing customer engagement and repeat orders.
Can trends predict future demand? +
Yes. Historical and live order data enable brands to forecast high-demand products, supporting predictive analytics for inventory planning.

Real Estate

What is real estate data scraping? +
Real estate data scraping collects listings, prices, availability, and neighborhood insights in real-time, helping agents and investors identify trends and optimize pricing.
Can property trends be tracked in real-time? +
Yes. Scraping listing frequency, price changes, and buyer interest reveals real-time market trends for informed decision-making.
How does data scraping support competitive pricing? +
Tracking competitor listings and sale prices enables price benchmarking to maintain competitiveness and attract buyers.
Can sentiment from reviews and ratings be analyzed? +
Yes. Scraping reviews of agents, properties, and neighborhoods provides sentiment analysis to guide investment or sales decisions.
How are trending neighborhoods identified? +
By monitoring listing volume, pricing, and search activity, companies detect high-demand areas through trend analytics.
Can data scraping improve inventory management? +
Yes. Agencies track available properties, vacancy trends, and turnaround times using data-driven decisions for portfolio optimization.
How does scraping support investment decisions? +
Data highlights growth hotspots, property value trends, and upcoming developments for predictive analytics in real estate investments.
Can property demand vary regionally? +
Yes. Scraping identifies city-specific or local trends, helping investors make regional trend analysis for targeted acquisition.
How can developers monitor competitor projects? +
Scraping competitor listings and features provides insights into competitive intelligence, guiding design, pricing, and promotions.
Can market predictions be automated? +
Yes. Historical and live data enable forecasting of price trends, supply, and demand through predictive analytics.

Travel

What is travel data scraping? +
Travel data scraping collects flight, hotel, and package information in real-time, helping agencies and platforms monitor trends and optimize pricing.
How are trending destinations identified? +
Analyzing bookings, searches, and reviews reveals trend tracking for popular travel spots and seasonal itineraries.
Can competitor pricing be monitored dynamically? +
Yes. Scraping flight and hotel rates enables dynamic pricing to stay competitive in real-time.
How can customer sentiment be assessed? +
Review and rating scraping provides sentiment analysis to improve travel services and experiences.
Can scraping help forecast travel demand? +
Yes. Historical and live data allows predictive planning using predictive analytics for seasonality and promotions.
How can travel packages be optimized? +
Trending destinations, popular hotels, and pricing insights guide data-driven decisions for travel package design.
Can agencies track competitor offers? +
Yes. Scraping competitor deals and packages enables competitive intelligence to adjust offerings and promotions.
How do reviews influence marketing? +
Insights from user ratings help tailor campaigns and highlight popular destinations using real-time insights.
Can regional trends be monitored? +
Yes. Scraping city-specific search volumes and bookings provides regional trend analysis for localized promotions.
How is seasonality predicted in travel? +
Analyzing historical and current bookings allows trend forecasting for peak and off-season planning.

Liquor

What is liquor data scraping? +
Liquor data scraping collects product prices, availability, and ratings from online stores in real-time, helping brands identify trending beverages and pricing trends.
How are trending products identified? +
Scraping sales, reviews, and ratings reveals trend analytics for spirits, wines, and craft beverages in high demand.
Can pricing be optimized dynamically? +
Yes. Monitoring competitor pricing and promotions enables dynamic pricing adjustments in real-time.
How does customer sentiment impact sales? +
Review and rating insights provide sentiment analysis, guiding product positioning and promotional campaigns.
How are popular brands tracked? +
Scraping sales volumes and ratings highlights top-performing brands for effective trend tracking and inventory allocation.
Can stock levels be monitored continuously? +
Yes. Liquor inventory can be tracked across multiple stores to ensure data-driven decisions for replenishment and promotions.
How does competitive intelligence help brands? +
Monitoring competitor offers and pricing enables competitive intelligence to optimize product positioning and sales strategy.
Can regional preferences be analyzed? +
Yes. Scraping orders and searches identifies city-specific or state-specific preferences through regional trend analysis.
How are promotions improved using data? +
Insights from trending products, reviews, and pricing allow targeted campaigns using real-time insights.
Can future trends be predicted in liquor sales? +
Yes. Combining historical sales and live data enables predictive analytics for new flavors, brands, and seasonal demand.

Grocery

What is grocery data scraping? +
Grocery data scraping extracts structured product, pricing, and inventory details from online supermarkets to support competitive intelligence and demand forecasting. It helps brands track grocery price monitoring in real time.
How does grocery data scraping help retailers? +
Retailers use scraped insights for dynamic pricing, assortment optimization, and consumer behavior analysis. Real-time datasets enable smarter decisions and improve margins using competitive intelligence.
Is grocery data scraping legal? +
Grocery data scraping is generally legal when it follows public data access rules and respects robots.txt and privacy policies. Businesses often use compliant web scraping services to avoid risks.
What data can be extracted from grocery websites? +
Commonly scraped data includes product names, prices, ingredients, seller information, reviews, availability, discounts, and delivery timelines. Companies utilize product data extraction to power analytics and automation.
Why is real-time grocery data scraping important? +
Real-time scraping helps businesses react instantly to competitor price drops, stockouts, or new product launches. It empowers fast decision-making using real-time data pipelines.
How do companies use scraped grocery data? +
Brands and retailers analyze scraped grocery datasets for pricing strategy, forecasting, promotional planning, and customer trends. Many rely on automated price comparison workflows.
What tools are used for grocery data scraping? +
We use Scrapy, BeautifulSoup, Selenium / SeleniumBase, Playwright Stealth plugins, Fingerprint and Browser Spoofing, Frida / Patch for App scraping, Asyncio-based custom crawlers, and Kafka / RabbitMQ for task queues. These technologies ensure accuracy and reduce blocks in data collection operations.
Can grocery data scraping track competitor discounts? +
Yes. Scraping tools monitor promotions, coupon updates, and flash sales across platforms. This helps companies adjust offers using discount monitoring frameworks.
Does grocery data scraping support inventory tracking? +
Scraping enables brands to detect stock levels, replenishment frequency, and out-of-stock alerts. Accurate insights are crucial for inventory monitoring across multiple marketplaces.
How does AI improve grocery data scraping? +
AI enhances extraction accuracy, identifies dynamic layouts, and processes large datasets faster. Machine learning-driven data extraction automation boosts scalability and reduces manual effort.

Fashion & Beauty

What is fashion and beauty data scraping? +
Fashion & beauty data scraping collects real-time product, pricing, trend, and review data from e-commerce platforms. Brands use trend analysis to predict popular styles and optimize campaigns.
How does fashion data scraping help retailers? +
Retailers track competitor pricing, new arrivals, and influencer trends. Scraping enables actionable insights for competitive intelligence and faster go-to-market strategies.
What kind of beauty data can be scraped? +
Scrapers extract product ingredients, customer reviews, ratings, stock availability, and promotions. This supports product data extraction for research and marketing decisions.
Why is trend tracking important in fashion & beauty? +
Real-time trend tracking helps brands identify seasonal demands, viral products, and influencer-driven spikes. Data-driven decisions rely on real-time analytics.
How do brands monitor influencer campaigns? +
Scraping social media and e-commerce mentions allows brands to measure influencer reach, engagement, and sales impact using social listening tools.
Can scraped data improve pricing strategy? +
Yes. Automated scraping helps retailers adjust prices, track discounts, and maintain market competitiveness through dynamic pricing systems.
What tools are used for fashion & beauty scraping? +
We use Scrapy, BeautifulSoup, Selenium / SeleniumBase, Playwright Stealth plugins, Fingerprint and Browser Spoofing, Frida / Patch for App scraping, Asyncio-based custom crawlers, and Kafka / RabbitMQ for task queues to gather accurate data collection from multiple online platforms.
Is scraping fashion & beauty data legal? +
Data scraping is legal if it respects public access policies, terms of service, and privacy regulations. Many businesses use compliant web scraping services.
How does AI enhance fashion & beauty data scraping? +
AI improves pattern recognition, trend prediction, and sentiment analysis on reviews, making data extraction automation faster and scalable.
Can brands track customer sentiment with scraped data? +
Yes. Scraping reviews and social comments helps brands understand preferences and satisfaction levels for sentiment analysis insights.

Toys & Gifting

What is toys and gifting data scraping? +
Toys & gifting data scraping collects product details, reviews, availability, and pricing from e-commerce platforms. Brands leverage product trend analysis to spot popular items.
How does it help retailers? +
Scraping enables retailers to optimize stock, pricing, and promotions by analyzing competitor strategies using competitive intelligence insights.
What types of toy data can be extracted? +
Scraped data includes product names, categories, prices, reviews, ratings, and seasonal popularity. This supports inventory planning for retailers.
Can gifting trends be monitored in real-time? +
Yes. Real-time scraping identifies trending gifts, holiday spikes, and viral products for timely real-time analytics.
How do companies track discounts and offers? +
Scraping websites allows monitoring promotions, flash sales, and coupons, enabling businesses to maintain discount monitoring strategies.
Are scraped datasets useful for marketing? +
Yes. Insights from reviews, social mentions, and product ratings help brands refine consumer sentiment and promotional campaigns.
What tools are used for toy scraping? +
Scrapy, BeautifulSoup, Selenium / SeleniumBase, Playwright Stealth plugins, Fingerprint and Browser Spoofing, Frida / Patch for App scraping, Asyncio-based custom crawlers, and Kafka / RabbitMQ for task queues ensure efficient data collection from multiple toy marketplaces.
Is toys & gifting scraping legal? +
Scraping public data while respecting robots.txt and privacy rules is legal. Many businesses rely on web scraping services for compliance.
How does AI improve data scraping? +
AI identifies trends, auto-classifies products, and predicts seasonal demand, supporting data extraction automation at scale.
Can scraping track product availability? +
Yes. Retailers can monitor stock levels and replenishment needs across marketplaces for inventory monitoring.

Dating

What is dating app data scraping? +
Dating data scraping collects user profiles, preferences, and activity trends from dating platforms for market analysis and user behavior analysis.
How do dating platforms benefit? +
Scraping helps platforms optimize matchmaking algorithms, improve retention, and detect trends using competitive intelligence.
What data can be scraped? +
Profile details, interests, user activity, messages metadata, and engagement metrics can be extracted for real-time analytics.
Can scraping detect trending profiles or topics? +
Yes. Platforms track popular profiles, conversation topics, and seasonal trends using trend tracking dashboards.
Is dating data scraping legal? +
Scraping public profiles while following privacy policies is legal. Many companies use compliant web scraping services.
How does AI enhance dating data scraping? +
AI improves profile analysis, identifies patterns in preferences, and predicts user trends using data extraction automation.
Can dating analytics improve marketing campaigns? +
Yes. Insights on user interests, preferences, and active hours support consumer behavior analytics for targeted campaigns.
How are engagement metrics tracked? +
Scrapers monitor likes, matches, messages, and app activity in real-time data pipelines.
Can dating apps track competitor activity? +
Yes. Monitoring competitors’ features, promotions, and user trends helps platforms with competitive monitoring.
Are bots detectable in dating scraping? +
Advanced AI and analytics identify suspicious activity, protecting platforms from fake profiles via fraud detection.

HR & Recruitment

What is HR data scraping? +
HR & recruitment data scraping extracts candidate profiles, resumes, job listings, and skill trends for talent intelligence.
How does it help recruiters? +
Scraping saves time, identifies top candidates, and benchmarks salaries using competitive intelligence.
What data can be scraped? +
Resumes, LinkedIn profiles, skills, job postings, and company data support candidate profiling and sourcing.
Can scraping track salary trends? +
Yes. Real-time extraction allows monitoring compensation, benefits, and hiring trends through salary benchmarking.
How is AI used in recruitment scraping? +
AI automates candidate ranking, skill matching, and sourcing via data extraction automation.
Is HR data scraping legal? +
Yes, if public profiles and job postings are scraped in compliance with privacy laws using web scraping services.
Can scraped data improve diversity hiring? +
Yes. Analytics on candidate demographics supports diversity and inclusion strategies.
How do companies track competitor hiring trends? +
Scraping job boards and LinkedIn postings enables competitive monitoring of hiring activity.
What tools are used for recruitment scraping? +
Scrapy, BeautifulSoup, Selenium / SeleniumBase, Playwright Stealth plugins, Fingerprint and Browser Spoofing, Frida / Patch for App scraping, Asyncio-based custom crawlers, and Kafka / RabbitMQ for task queues improve data collection efficiency.
Can recruitment scraping improve time-to-hire? +
Yes. Automated candidate identification and tracking optimize workflows using real-time data insights.

Stock Market and Financial

What is financial data scraping? +
Financial data scraping collects stock prices, company filings, and market news for real-time financial analytics.
How do investors benefit? +
Scraping enables portfolio tracking, competitor analysis, and trend prediction using market intelligence.
What financial data can be scraped? +
Stock prices, earnings reports, SEC filings, trading volumes, and news support data-driven investing.
Can scraping detect market trends? +
Yes. Real-time scraping tracks price movements, trading sentiment, and sector performance for trend analysis.
How is AI applied to financial scraping? +
AI predicts market patterns, identifies anomalies, and enhances data extraction automation.
Is financial data scraping legal? +
Scraping public financial data is legal, but compliance with regulations is needed. Companies rely on web scraping services.
Can scraping track competitors’ portfolios? +
Yes. Investors monitor mutual fund holdings, ETFs, and corporate transactions for competitive monitoring.
How does sentiment analysis work in finance? +
Scraped news, tweets, and blogs feed AI models to analyze market sentiment.
Can scraping support algorithmic trading? +
Yes. Real-time financial feeds integrate into trading automation systems.
What tools are used in financial scraping? +
Scrapy, BeautifulSoup, Selenium / SeleniumBase, Playwright Stealth plugins, Fingerprint and Browser Spoofing, Frida / Patch for App scraping, Asyncio-based custom crawlers, and Kafka / RabbitMQ for task queues enable efficient data collection.

EV & Auto

What is EV and automotive data scraping? +
Scraping collects vehicle specs, prices, inventory, charging stations, and trends for market intelligence.
How does it help manufacturers? +
Scraped data informs pricing, new launches, competitor benchmarking, and customer preferences via competitive intelligence.
What automotive data can be scraped? +
Vehicle listings, reviews, sales volumes, charging availability, and offers support real-time analytics.
Can scraping track EV adoption trends? +
Yes. Real-time monitoring of sales, registrations, and charger installations enables trend analysis.
How do companies track competitor models? +
Scraping competitor websites and reviews informs product benchmarking and strategic planning.
Is EV data scraping legal? +
Yes, if public listings and product info are accessed in compliance with rules using web scraping services.
Can AI enhance vehicle data extraction? +
Yes. AI processes specs, reviews, and trends faster through data extraction automation.
How do EV companies monitor pricing? +
Scraping dealer websites and marketplaces supports dynamic pricing strategies.
Can scraping track inventory levels? +
Yes. Real-time vehicle stock updates enable inventory monitoring.
What tools are used in automotive scraping? +
Scrapy, BeautifulSoup, Selenium / SeleniumBase, Playwright Stealth plugins, Fingerprint and Browser Spoofing, Frida / Patch for App scraping, Asyncio-based custom crawlers, and Kafka / RabbitMQ for task queues optimize data collection.

Ride-Hailing & Delivery

What is ride-hailing data scraping? +
Scraping collects fares, availability, demand trends, and driver stats for real-time analytics.
How do delivery companies benefit? +
Data scraping helps optimize routes, pricing, and promotions using competitive intelligence.
What data can be scraped? +
Trip prices, surge trends, driver availability, and delivery times support data-driven logistics.
Can scraping track competitor pricing? +
Yes. Real-time fare scraping enables dynamic pricing adjustments.
How does AI improve ride-hailing scraping? +
AI predicts demand, identifies trends, and automates reporting via data extraction automation.
Is ride-hailing scraping legal? +
Scraping public info and APIs while respecting policies is legal using web scraping services.
Can scraping track peak hours? +
Yes. Analysis of historical trips enables real-time analytics for demand forecasting.
How do companies monitor driver activity? +
Scraping driver dashboards and performance metrics supports performance tracking.
Can promotions be optimized with scraped data? +
Yes. Scraped discount, coupon, and surge info improves promotion optimization.
What tools are used for ride-hailing scraping? +
Scrapy, BeautifulSoup, Selenium / SeleniumBase, Playwright Stealth plugins, Fingerprint and Browser Spoofing, Frida / Patch for App scraping, Asyncio-based custom crawlers, and Kafka / RabbitMQ for task queues support data collection.

Automobile

What is automobile data scraping? +
Scraping gathers car prices, specs, reviews, and inventory for market intelligence.
How do auto companies benefit? +
Data supports product benchmarking, pricing, and competitor monitoring using competitive intelligence.
What types of data can be scraped? +
Vehicle listings, offers, reviews, availability, and features support product data extraction.
Can scraping track inventory levels? +
Yes. Dealers can monitor stock in real-time via inventory monitoring.
How is AI used in auto data scraping? +
AI identifies trends, automates extraction, and analyzes customer sentiment using data extraction automation.
Is automobile data scraping legal? +
Scraping public car listings is legal, following website policies with web scraping services.
Can scraped data optimize pricing? +
Yes. Companies adjust pricing and offers based on market trends using dynamic pricing.
How do companies monitor competitor launches? +
Scraping competitor announcements and reviews enables trend tracking for new releases.
Can scraping support customer sentiment analysis? +
Yes. Reviews and social mentions provide sentiment analysis insights.
What tools are used for automobile scraping? +
Scrapy, BeautifulSoup, Selenium / SeleniumBase, Playwright Stealth plugins, Fingerprint and Browser Spoofing, Frida / Patch for App scraping, Asyncio-based custom crawlers, and Kafka / RabbitMQ for task queues enable efficient data collection.

OTT Streaming

What is OTT streaming data scraping? +
Scraping collects shows, ratings, reviews, subscription prices, and content trends for content intelligence.
How do streaming platforms benefit? +
Insights help optimize content recommendations, promotions, and competitor analysis using competitive intelligence.
What data can be scraped? +
Titles, genres, release dates, reviews, and viewer ratings support real-time analytics.
Can scraping track trending shows? +
Yes. Real-time monitoring identifies viral content and seasonal spikes for trend analysis.
How does AI improve scraping? +
AI automates extraction, predicts viewer interests, and classifies genres using data extraction automation.
Is OTT scraping legal? +
Scraping publicly available info while respecting policies is legal using web scraping services.
Can platforms track competitor content? +
Yes. Scraping helps monitor releases, promotions, and reviews for competitive monitoring.
How is subscription pricing tracked? +
Scrapers collect plan info, discounts, and promotions for pricing intelligence.
Can audience sentiment be measured? +
Yes. Reviews, ratings, and social comments feed sentiment analysis models.
What tools are used for OTT scraping? +
Scrapy, BeautifulSoup, Selenium / SeleniumBase, Playwright Stealth plugins, Fingerprint and Browser Spoofing, Frida / Patch for App scraping, Asyncio-based custom crawlers, and Kafka / RabbitMQ for task queues enable efficient data collection.

News & Media

What is news and media data scraping? +
Scraping collects articles, headlines, authors, and trending topics for real-time news analytics.
How do media companies benefit? +
Scraped data supports content strategy, competitor monitoring, and engagement insights using competitive intelligence.
What data can be scraped? +
Articles, headlines, authors, timestamps, and social shares enable trend tracking.
Can scraping track trending topics? +
Yes. Real-time scraping identifies viral stories and social buzz using real-time analytics.
Is news scraping legal? +
Scraping public content while respecting copyright is legal via web scraping services.
How does AI improve news scraping? +
AI classifies topics, extracts key info, and summarizes content via data extraction automation.
Can competitor coverage be monitored? +
Yes. Scrapers track rival publications and article reach for competitive monitoring.
How is sentiment measured in news? +
Scraping comments, tweets, and reviews feeds sentiment analysis.
Can scraping help in media research? +
Yes. Historical and real-time articles support data-driven insights.
What tools are used in news scraping? +
Scrapy, BeautifulSoup, Selenium / SeleniumBase, Playwright Stealth plugins, Fingerprint and Browser Spoofing, Frida / Patch for App scraping, Asyncio-based custom crawlers, and Kafka / RabbitMQ for task queues enable accurate data collection.

Social Media Data

What is social media data scraping? +
Scraping collects posts, hashtags, engagement metrics, followers, and trends for social media analytics.
How do brands benefit? +
Insights help monitor campaigns, competitors, and audience behavior via competitive intelligence.
What data can be scraped? +
Posts, comments, likes, shares, and user profiles support real-time analytics.
Can scraping track trending hashtags? +
Yes. Real-time monitoring identifies viral content for trend tracking.
How is sentiment analyzed? +
Scraped posts and comments feed sentiment analysis models to understand audience opinions.
Is social media scraping legal? +
Scraping public content while following platform rules is legal via web scraping services.
How does AI improve social scraping? +
AI classifies content, detects patterns, and automates reporting via data extraction automation.
Can competitor campaigns be monitored? +
Yes. Scraping engagement metrics and posts supports competitive monitoring.
How can influencers be tracked? +
Scraping mentions, posts, and follower growth enables influencer analytics.
What tools are used for social media scraping? +
Scrapy, BeautifulSoup, Selenium / SeleniumBase, Playwright Stealth plugins, Fingerprint and Browser Spoofing, Frida / Patch for App scraping, Asyncio-based custom crawlers, and Kafka / RabbitMQ for task queues ensure accurate data collection.

Web Crawling

How does web crawling automate data collection? +
Web crawling enables automatic exploration of websites to gather structured data efficiently. It helps businesses avoid manual scraping, save time, and maintain real-time insights into products, pricing, and competitor updates.
Can web crawling detect content changes? +
Yes. Web crawling monitors web pages for updates, alerts businesses about new products, promotions, or pricing changes, ensuring data accuracy for decision-making.
How does web crawling help trend analysis? +
By continuously scanning multiple sites, web crawling identifies trending products, topics, or services in real-time, supporting data-driven marketing and inventory planning.
Can web crawling support multi-site data aggregation? +
Yes. Web crawling aggregates data from e-commerce, social, and news platforms, providing a unified view for competitive intelligence and strategic planning.
Is web crawling useful for dynamic websites? +
Absolutely. Web crawling handles JavaScript-heavy and dynamic content to extract real-time information, helping businesses maintain accurate datasets even on complex sites.

Web Scraping API

How does a web scraping API simplify data extraction? +
A web scraping API allows businesses to fetch structured data directly from websites in real-time, eliminating manual collection and ensuring reliable and scalable data for analytics.
Can a web scraping API handle large datasets? +
Yes. Using a web scraping API, companies can extract thousands of pages simultaneously, ensuring efficient real-time data retrieval for research or trend monitoring.
How does a web scraping API support pricing analysis? +
APIs provide automated access to competitor prices and promotions, enabling dynamic pricing insights for e-commerce and retail businesses.
Can a web scraping API monitor content updates? +
Yes. Web scraping API continuously tracks changes on target websites and alerts businesses for accurate real-time intelligence.
Is data quality maintained with a web scraping API? +
Yes. Structured output formats and validation ensure high-quality datasets, reducing errors and enabling actionable insights for market research and analytics.

Live Crawler

What is a live crawler and how does it work? +
A live crawler scans websites continuously in real-time, extracting fresh data for monitoring prices, stocks, or trends without manual intervention.
Can a live crawler detect flash sales? +
Yes. Live crawler alerts businesses instantly about limited-time deals or stock changes, enabling quick decisions and competitive advantage.
How does a live crawler help e-commerce monitoring? +
By tracking inventory, prices, and product listings continuously, live crawler provides actionable real-time insights for pricing and stock optimization.
Is a live crawler useful for market trend detection? +
Absolutely. Live crawler aggregates live data across websites, identifying trending products, categories, and consumer preferences in real-time.
Can live crawlers handle multiple websites simultaneously? +
Yes. Live crawlers efficiently extract data from multiple sources at once, providing unified analytics-ready datasets for faster strategic decisions.

Web Scraping with AI

How does AI enhance web scraping? +
Web scraping with AI intelligently extracts data from dynamic and unstructured websites, improving accuracy and reducing manual intervention for real-time insights.
Can AI scraping understand unstructured content? +
Yes. Web scraping with AI processes images, text, and complex layouts, enabling businesses to extract high-value datasets from diverse sources.
How does AI web scraping support trend detection? +
By analyzing scraped data patterns, web scraping with AI identifies trending products, consumer preferences, and competitor moves in real-time.
Is AI scraping useful for large-scale monitoring? +
Absolutely. Web scraping with AI scales to thousands of web pages, ensuring consistent and accurate data extraction across multiple domains.
Can AI scraping reduce errors in dynamic sites? +
Yes. By understanding JavaScript-rendered content, web scraping with AI ensures accurate and actionable datasets from complex websites.

Web Data Mining

What is web data mining and why is it important? +
Web data mining extracts patterns and insights from large datasets online, enabling businesses to track trends, consumer behavior, and competitive activity in real-time.
How does data mining improve business decisions? +
By analyzing web-scraped datasets, web data mining reveals trends, predicts demand, and supports data-driven strategies.
Can web data mining detect emerging market trends? +
Yes. Web data mining identifies rising products, services, or topics early, providing competitive intelligence for proactive actions.
How is sentiment analysis applied in web data mining? +
Scraped reviews and social comments are analyzed through web data mining, enabling real-time consumer sentiment insights.
Can web data mining improve personalization? +
Yes. Insights from mined data help businesses tailor recommendations, content, and promotions using real-time behavioral analysis.

Mobile App

How can a mobile app leverage web scraping? +
A mobile app integrated with scraping data provides users instant real-time insights, pricing comparisons, and trending content directly on their devices.
Can mobile apps track competitor activity? +
Yes. Apps powered by scraping collect competitor pricing and inventory data, enabling real-time market intelligence for retailers or consumers.
How does mobile app data support personalization? +
By analyzing web-scraped preferences and trends, a mobile app delivers tailored recommendations and offers for enhanced user engagement.
Can mobile apps monitor trending products? +
Yes. Real-time trend tracking in mobile apps highlights popular products and promotions for instant customer awareness.
How does mobile app analytics improve decision-making? +
Integrating live scraped data helps a mobile app provide actionable insights for pricing, marketing, and inventory optimization.

Datasets

How are curated datasets useful for businesses? +
High-quality datasets extracted via web scraping provide structured information for analysis, trend detection, and real-time decision-making.
Can datasets reveal consumer behavior trends? +
Yes. Scraped datasets allow tracking preferences, sentiment, and emerging product trends for actionable market insights.
How do datasets support predictive analytics? +
Historical and live data datasets enable forecasting, helping companies plan inventory, pricing, and campaigns accurately using real-time insights.
Can datasets improve competitive analysis? +
Yes. Aggregated competitor and market data datasets provide actionable intelligence to optimize pricing and product strategies.
Are datasets updated in real-time? +
Yes. Continuously scraped datasets maintain accuracy and freshness, enabling businesses to respond instantly to market changes.

Scraper

What is a web scraper? +
A scraper automatically extracts structured data from websites in real-time, saving manual effort and supporting market research, pricing, and trend analysis.
Can a scraper handle dynamic websites? +
Yes. Advanced scrapers extract content from JavaScript-heavy sites and e-commerce platforms, ensuring accurate datasets.
How do scrapers improve pricing strategies? +
By continuously collecting competitor pricing and promotions, a scraper enables dynamic pricing and market intelligence.
Can scrapers monitor trending content? +
Yes. Scrapers track emerging products, news, or popular topics, providing real-time insights for decision-making.
How does a scraper reduce operational effort? +
Automating data collection with a scraper eliminates manual monitoring, providing instant actionable datasets for businesses.

Dashboard

How does a dashboard visualize scraped data? +
A dashboard consolidates real-time scraped data into charts, tables, and trends for easy decision-making and monitoring key metrics.
Can dashboards track trending products? +
Yes. Dashboards powered by live scraping highlight trending items and category performance, enabling actionable insights instantly.
How does a dashboard support competitive analysis? +
By aggregating competitor prices, stock levels, and promotions, a dashboard provides clear market intelligence for strategic decisions.
Can dashboards monitor real-time updates? +
Yes. Dashboards refresh live data continuously, ensuring accurate and current insights for pricing, stock, and marketing decisions.
How does a dashboard improve operational efficiency? +
Visualizing trends, inventory, and performance metrics in a dashboard enables faster data-driven decisions across teams and departments. 
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US
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⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize
Explore Solutions Get a Custom Demo

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Ecommerce
Q-Commerce
Travel & OTA
Food Delivery
Real Estate
Social Media
Trusted by Global Leaders – Secured by International Standards

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

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Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

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Blog
Case Studies
Infographics
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Jan 06, 2026

How Daily Liquor Pricing & Availability Monitoring Fixes Inventory Blind Spots for Modern Beverage Brands?

Daily Liquor Pricing & Availability Monitoring helps brands track stock levels, spot price changes, and reduce revenue loss across competitive retail markets.

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Powering India's Quick Commerce Revolution with 1 Million SKUs Daily Real-time Data Intelligence for Hyperlocal Delivery by Actowiz Solutions

Actowiz Solutions powers India’s quick commerce revolution with real-time data intelligence, tracking 1 million SKUs daily for hyperlocal delivery success.

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Grocery Price Movement Tracker – Walmart, Instacart & Target

Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.

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Scraping Top-Selling GrabMart Products - Top Categories & SKUs Across Singapore, Malaysia & Thailand

Detailed research on GrabMart’s top-selling products, highlighting leading categories and SKUs across Singapore, Malaysia, and Thailand for market insights
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Jan 06, 2026

How Daily Liquor Pricing & Availability Monitoring Fixes Inventory Blind Spots for Modern Beverage Brands?

Daily Liquor Pricing & Availability Monitoring helps brands track stock levels, spot price changes, and reduce revenue loss across competitive retail markets.

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Jan 05, 2026

Hotel & Flights Combined Price Index in Europe - Travel Budget Uncertainty with Integrated Cost Data and Market Statistics

Hotel & Flights Combined Price Index in Europe helps reduce travel budget uncertainty with integrated cost data, market statistics, and actionable pricing insights.

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Jan 05, 2026

CMC vs Competitors - Ready-to-Cook Pricing Trends on Blinkit & Swiggy Instamart

CMC vs Competitors – Analyze ready-to-cook pricing trends on Blinkit and Swiggy Instamart to track market positioning, discounts, and consumer preferences.

Read More
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Powering India's Quick Commerce Revolution with 1 Million SKUs Daily Real-time Data Intelligence for Hyperlocal Delivery by Actowiz Solutions

Actowiz Solutions powers India’s quick commerce revolution with real-time data intelligence, tracking 1 million SKUs daily for hyperlocal delivery success.

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Navigating the Luxury Watch Gray Market in France Precision Price Tracking and Market Intelligence by Actowiz Solutions

Explore the luxury watch gray market in France with precision price tracking and market intelligence powered by Actowiz Solutions for smarter decisions.

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Reducing Hotel Booking Costs Across Multiple Cities Using Trip.com API-Driven Hotel Chain Price Intelligence

Case study shows how Trip.com API-Driven Hotel Chain Price Intelligence enables multi-city hotels to monitor real-time prices, optimize rates, and reduce booking costs.

Read More
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Grocery Price Movement Tracker – Walmart, Instacart & Target

Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.

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Enhancing Deep Learning Models With Image Scraping

Enhance deep learning performance with large-scale image scraping. Build diverse, high-quality training datasets to improve AI accuracy, object detection, and model generalization.

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Dark Store Location Optimization - Data-Driven Strategy Explained

Uncover how data-driven strategies optimize dark store locations, boosting quick commerce efficiency, reducing costs, and improving delivery speed.

Read More
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Scraping Top-Selling GrabMart Products - Top Categories & SKUs Across Singapore, Malaysia & Thailand

Detailed research on GrabMart’s top-selling products, highlighting leading categories and SKUs across Singapore, Malaysia, and Thailand for market insights
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City-Wise Demand & Delivery Time Analysis for NIC Ice Cream - Solving Last-Mile Challenges in Quick Commerce

City-Wise Demand & Delivery Time Analysis for NIC Ice Cream reveals how data improves stock planning, delivery speed, and customer satisfaction across markets.
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City-Wise Demand & Delivery Intelligence for CMC – Solving Supply Gaps and Last-Mile Delays in Quick Commerce

City-Wise Demand & Delivery Intelligence for CMC reveals how data solves supply gaps and last-mile delays, improving speed, availability, and customer satisfaction.
Read More