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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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Actowiz Metrics Now Live!

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                            [zh-CN] => 哥伦布
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                            [es] => Norteamérica
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
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    [continent:protected] => GeoIp2\Record\Continent Object
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                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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            [validAttributes:protected] => Array
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    [country:protected] => GeoIp2\Record\Country Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [iso_code] => US
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                            [ru] => США
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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                )

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

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

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

    [traits:protected] => GeoIp2\Record\Traits Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [ip_address] => 216.73.216.213
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                    [network] => 216.73.216.0/22
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            [validAttributes:protected] => Array
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                    [1] => autonomousSystemOrganization
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                    [8] => isHostingProvider
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                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
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                    [names] => Array
                        (
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                            [ja] => コロンバス
                            [pt-BR] => Columbus
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                            [zh-CN] => 哥伦布
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            [validAttributes:protected] => Array
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    [location:protected] => GeoIp2\Record\Location Object
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
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            [validAttributes:protected] => Array
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                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

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

    [subdivisions:protected] => Array
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            [0] => GeoIp2\Record\Subdivision Object
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                    [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [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
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                            [0] => en
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                    [validAttributes:protected] => Array
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)

 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
)

Introduction

In 2025, social media continues to be a powerful force shaping public opinion, brand perception, and consumer behavior. With billions of users interacting across platforms like Instagram, TikTok, X (formerly Twitter), and LinkedIn, understanding these digital conversations has become crucial for brands and marketers alike. As competition intensifies, businesses are turning to Social Media Scraping for Influence to decode massive volumes of real-time data and gain a competitive edge.

This innovative approach enables companies to uncover emerging trends, monitor brand sentiment, and analyze competitor strategies with precision. By extracting valuable engagement metrics and audience insights, Social Media Scraping for Influence empowers marketers to craft more targeted, data-driven campaigns. It also plays a key role in identifying the right influencers, measuring campaign effectiveness, and refining messaging based on live user feedback. As a result, it has become an indispensable tool for trend analysis, real-time engagement insights, and strategic campaign planning in today’s fast-paced digital world.

Why Social Media Scraping Matters in 2025?

Rise of Micro and Nano Influencers

Micro (10K–100K followers) and nano (under 10K followers) influencers are driving higher engagement than big-name celebrities. Brands are increasingly turning to these creators for authenticity. However, manually identifying such influencers is inefficient. With Social Media Scraping for Influence, brands can instantly detect rising talent, track audience fit, and analyze engagement rates in real-time—resulting in better influencer selection and ROI.

Importance of Real-Time Audience Sentiment

Sentiment toward brands or campaigns can shift in minutes. A tweet, meme, or viral post can spark widespread conversation. Real-time social media monitoring allows brands to tap into live reactions, spot potential PR risks, and optimize their response strategies before sentiment turns negative. Scraping sentiment data across platforms gives marketers the edge to remain proactive rather than reactive.

Expanding Content Formats

From TikTok and Instagram Reels to YouTube Shorts and ephemeral Stories, content consumption habits are changing rapidly. These formats demand different engagement strategies. Social Media Scraping for Influence helps brands understand what content resonates where, enabling smarter content creation and data-driven campaign targeting. It also identifies the best-performing content formats for each platform and audience type.

Platform Fragmentation

Audiences are scattered across platforms with different user behaviors and demographics. A trending sound on TikTok may not even register on Threads or X. Scraping tools enable brands to gather platform-specific data and unify fragmented insights, helping them adapt messaging accordingly and plan omnichannel campaigns more effectively.

Social Media Usage Trends (2020–2025)

Year	Global Social Media Users (Billion)	Avg. Daily Use per User (Hours)	Brands Using Influencer Marketing (%)
2020	3.6	2.5	55%
2021	4.0	2.7	63%
2022	4.4	2.8	70%
2023	4.7	3.0	76%
2024	5.0	3.1	82%
2025	5.2 (est.)	3.3 (est.)	88% (est.)

By 2025, with over 5.2 billion users spending more than 3 hours daily on social media, the importance of Social Media Scraping for Influence, real-time social media monitoring, and data-driven campaign targeting will only continue to grow.

Unlock real-time insights and boost your marketing strategy with advanced Social Media Scraping—stay ahead in 2025!

Contact Us Today!

Key Trends Identified Through Social Media Scraping

In the ever-evolving world of digital marketing, scraping social media trends 2025 provides brands with a vital edge in predicting consumer behavior and adapting in real time. As we move deeper into the data age, marketers are no longer making decisions based on intuition alone. Instead, they rely on powerful insights derived from scraping social sentiment dynamics and behavioral trends. Below are four critical trends uncovered through campaign targeting with social scraping, each supported by real data.

Viral Trend Prediction

By scraping millions of daily posts, marketers can detect early signals of viral trends. Analyzing sudden spikes in mentions, shares, or keyword clusters enables brands to act before a trend peaks—amplifying their relevance and visibility.

Table: Example of Viral Topic Detection from Instagram (2024–2025)

Month	Trending Topic	Initial Mentions	Viral Peak (Mentions)	Time to Peak
Jan 2024	#QuietLuxury	1,500	89,000	12 days
Aug 2024	#Barbiecore	2,100	102,000	9 days
Feb 2025	#DigitalDeclutter	3,800	76,000	7 days

Geo-Targeted Cultural Patterns

Scraping social sentiment dynamics enables businesses to localize content strategies by understanding how conversations differ across geographies. This data can guide regional campaigns and language-specific messaging.

Table: Regional Sentiment Toward Sustainability Topics (Q1 2025)

Region	Positive Sentiment (%)	Neutral (%)	Negative (%)
North America	71	19	10
Europe	82	13	5
Asia	64	25	11

Hashtag and Meme Lifecycle Tracking

Hashtags and memes now define the tempo of internet culture. Scraping social media trends 2025 allows brands to determine when to jump in—and when to step out—ensuring they remain timely without being outdated.

Table: Lifecycle of Popular Memes (2024–2025)

Meme Hashtag	First Appearance	Peak Week	Engagement Drop-Off
#GirlDinner	May 2024	Week 3	Week 6
#NoFilterLife	Oct 2024	Week 2	Week 5
#CoreCore	Jan 2025	Week 4	Week 7

Competitor Campaign Analysis

By tracking competitor hashtags, influencer mentions, and engagement levels, campaign targeting with social scraping becomes smarter. It helps you spot gaps, optimize spend, and craft better offers.

Table: Competitor Campaign Metrics (Fashion Brands, Q2 2025)

Brand	Campaign Hashtag	Avg. Engagement Rate	Influencers Used	Audience Growth (%)
Brand A	#EverydayEdge	3.8%	22	12%
Brand B	#CozyBold	4.5%	19	15%
Brand C	#SoftPowerLook	5.1%	27	18%

From early trend detection to regional sentiment mapping, meme lifecycle analysis, and competitor benchmarking, scraping social media trends 2025 equips brands with real-time intelligence. This enables sharper campaign targeting with social scraping, ensuring relevance, agility, and performance in a rapidly shifting digital space. Let me know if you’d like this optimized further for SEO or design!

Enhancing Engagement with Data

In 2025, creating engaging social media content is no longer about guesswork—it’s about data-driven precision. By leveraging advanced scraping and analytics, brands can significantly improve campaign performance and community engagement. Through extracting social media campaign metrics, businesses can tailor content strategies based on real user interactions, ensuring relevance and resonance. Here’s how smart data usage is redefining engagement.

Personalization Based on Scraped Interaction Data

Scraping user likes, shares, and comments allows brands to build rich interaction profiles. These insights help tailor content to user preferences, leading to more personalized and effective engagement strategies. Whether it's customizing Instagram captions based on audience humor trends or offering product recommendations from recent user activity, personalization improves click-through rates and conversions dramatically.

Key stat: Personalized posts based on interaction data saw a 37% higher engagement rate in 2024 compared to generic posts (Meta Insights Report).

Optimal Posting Times by Region and Platform

Engagement timing matters. By extracting social media campaign metrics over time, brands can determine the best posting windows across different platforms and geographies. A post that performs well on X in New York at 9 AM might flop in Mumbai at the same time. With scraped data, timing becomes a science.

Example Table: Optimal Posting Times by Region and Platform (2024)

Region	Platform	Best Time to Post (Local)
North America	Instagram	11:00 AM
Europe	LinkedIn	9:00 AM
Asia	TikTok	7:00 PM

Measuring Influencer ROI Through Engagement Metrics

The days of judging influencer impact by follower counts are over. Today, brands use social listening for influencers to measure true ROI—tracking engagement quality, click-through rates, and post longevity. This ensures every dollar spent aligns with tangible results.

Key stat: Influencer posts with authentic engagement deliver 6x higher ROI compared to traditional social ads (Hootsuite 2025).

Sentiment Shifts and Feedback Loops in Real-Time

Real-time social media campaign analysis detects mood swings around a brand, helping marketers act before a PR crisis escalates. Brands use sentiment tracking tools to refine messaging, adjust visuals, or even pause campaigns when needed.

Key stat: 79% of brands that acted on live sentiment data reported improved brand perception within 48 hours (Buffer Study 2025).

With tools to extract social media campaign metrics, conduct social listening for influencers, and drive ongoing social media campaign analysis, brands are creating smarter, more engaging experiences. This is the new era of precision-led influence marketing.

Boost your engagement with data-driven insights—personalize content, optimize timing, and maximize influencer impact today!

Contact Us Today!

Campaign Targeting with Precision

Understanding your audience is the foundation of effective targeting. By analyzing user interests, behaviors, and interaction patterns collected via real-time social media monitoring, brands can segment their audiences into highly specific groups. This allows marketers to deliver personalized content that resonates on a deeper level, increasing engagement rates and driving conversions.

Example: A sportswear brand might segment users into “running enthusiasts,” “gym-goers,” and “outdoor adventurers” to deliver tailored ads and offers.

Matching Brand Tone with Trending Conversations

Maintaining relevance means speaking your audience’s language. Using social media competitive intelligence, brands can monitor trending topics and conversations in their niche to align their tone and messaging accordingly. This approach helps brands engage authentically with their community and capitalize on cultural moments, enhancing brand visibility and affinity.

Real-Time Performance Adjustments During Campaigns

Campaign success depends on agility. With monitor brand engagement tools powered by real-time social media monitoring, marketers can track how content performs minute-by-minute. This allows for immediate adjustments — tweaking creative elements, reallocating budgets, or shifting targeting parameters — to optimize results throughout the campaign lifecycle.

Identifying Rising Influencers and Engagement Hotspots

Influencer marketing continues to evolve, and spotting emerging talent early is crucial. By continuously scraping social data, brands can identify rising influencers whose audiences align with their target market. Additionally, recognizing engagement hotspots — communities or platforms with surging activity — helps brands focus efforts where they’ll have the most impact.

Example Table: Rising Influencers & Hotspots Q1 2025

Influencer Name	Platform	Follower Growth (%)	Engagement Rate	Niche
@EcoSavvy	Instagram	28	7.3%	Sustainable Living
@TechGuru	TikTok	35	8.1%	Gadgets & Reviews
@FoodieFiesta	YouTube	22	6.8%	Culinary Arts

By combining monitor brand engagement, social media competitive intelligence, and real-time social media monitoring, brands can execute data-driven campaign targeting that’s responsive, relevant, and results-focused. This strategic precision is the key to winning audience attention and building lasting influence in 2025.

How Actowiz Solutions Can Help?

Actowiz Solutions offers advanced Social Media Scraping for Influence services that provide deep insights into audience behavior, trending content, influencer performance, and real-time sentiment. Our tools help brands decode massive volumes of unstructured data from platforms like Instagram, TikTok, YouTube, and more—turning them into actionable strategies. Whether you're launching a new campaign or refining your engagement strategy, our scraping solutions power smarter decisions backed by data.

Conclusion

In 2025, the brands that win on social media will be the ones that listen, learn, and lead—powered by data. Social Media Scraping for Influence isn’t just about tracking hashtags; it’s about decoding human behavior at scale and using it to drive authentic engagement and successful campaigns.

Ready to revolutionize your social strategy? Contact Actowiz Solutions today and turn data into digital influence! You can also reach us for all your mobile app scraping, data collection, web scraping , and instant data scraper service requirements!

GeoIp2\Model\City Object
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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                )

        )

    [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
)

Start Your Project

+1 ▼

Select Service Web Scraping Real-Time API Access Data Dashboards Datasets Review & Sentiment Analysis Price Monitoring Custom Solution

Select Industry E-Commerce Quick Commerce Food Delivery Travel & OTA Grocery & Retail Real Estate Others

Target Country Web Scraping Services Mobile App Scraping Web and App Scraping API Datasets Dashboard

A$лвR$C$CHF¥Kčkr€£HK$FtRp₪₹kr¥₩Mex$RMkrNZ$₱złleikrS$฿₺$R Budget Range $500 - $1,000 - Starter Budget (POC/Single Site) $1,000 - $2,500 - Basic Plan (Small Business Needs) $2,500 - $5,000 - Growth Phase (Multi-site/Data Volume Projects) $5,000 - $10,000 - Business-Scale (Automation/API Integrations) $10,000 - $25,000 - Enterprise Projects (Real-Time Systems, Global Data) $25,000 - $50,000 - Enterprise+ (Custom Dashboards, Ongoing Support) $50,000+ - Strategic Partnership (End-to-End Data Ops)

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "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 Galido

Co-Founder / Head of Product at Upright Data Inc.

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.”

Iulen Ibanez

CEO / Datacy.es

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!”

Febbin Chacko

-Fin, Small Business Owner

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

Request Demo Access

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

All

Blog

Case Studies

Infographics

Report

Jan 08, 2026

How a Scraping API for Lowes Product Data Solves Inventory and Pricing Challenges in Real Time?

Discover how a Scraping API for Lowes Product Data helps businesses track inventory, monitor pricing, and make real-time data-driven retail decisions.

How We Helped a Brand Scrape Woolworths Australia Data to Improve Pricing and Inventory Decisions

Discover how we helped a brand scrape Woolworths Australia to improve pricing accuracy, track inventory in real time, and make smarter retail decisions.

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.

Driving Smarter Marketplace Decisions with Seller Competition & Pricing Intelligence on Amazon India and Snapdeal

Seller Competition & Pricing Intelligence on Amazon India and Snapdeal helps brands optimize pricing, track rivals, and make smarter marketplace decisions.

Jan 08, 2026

How a Scraping API for Lowes Product Data Solves Inventory and Pricing Challenges in Real Time?

Discover how a Scraping API for Lowes Product Data helps businesses track inventory, monitor pricing, and make real-time data-driven retail decisions.

Jan 07, 2026

Amazon India vs Flipkart vs Snapdeal Product Data Mapping – Comparing Prices, Seller Networks, and SKU Match Rates

Amazon India vs Flipkart vs Snapdeal Product Data Mapping helps compare pricing, seller networks, and SKU match rates to uncover marketplace trends and drive smarter ecommerce decisions.

Jan 07, 2026

How Web Scraping Grab Taxi Data Helps Brands Decode Real-Time Ride Prices, Routes & Demand Trends?

Learn how web scraping Grab Taxi data reveals real-time ride prices, popular routes, and demand trends to help brands make smarter mobility decisions.

Read More

How We Helped a Brand Scrape Woolworths Australia Data to Improve Pricing and Inventory Decisions

Discover how we helped a brand scrape Woolworths Australia to improve pricing accuracy, track inventory in real time, and make smarter retail decisions.

Extracting GrabTaxi Fare & Availability Data to Improve Ride-Hailing Price Transparency

Discover how extracting GrabTaxi fare and availability data improved ride-hailing price transparency, enabling smarter pricing decisions and better rider trust.

How We Helped a Hospitality Brand Track 700+ Properties by Scraping Booking.com Hotel Prices in France

Scraping Booking.com hotel prices in France helps brands track real-time rates across 700+ hotels to optimize pricing strategies and stay competitive.

Read More

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.

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.

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

Driving Smarter Marketplace Decisions with Seller Competition & Pricing Intelligence on Amazon India and Snapdeal

Seller Competition & Pricing Intelligence on Amazon India and Snapdeal helps brands optimize pricing, track rivals, and make smarter marketplace decisions.

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

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.

Read More

Our perks are irreplaceable

Time Zone Flexibility

Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.

Clear Communication

Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.

Uncompromising Quality

Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations

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