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GeoIp2\Model\City Object
(
    [city:protected] => GeoIp2\Record\City Object
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                    [0] => confidence
                    [1] => geonameId
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                    [geoname_id] => 4744870
                    [names] => Array
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                            [de] => Ashburn
                            [en] => Ashburn
                            [es] => Ashburn
                            [fr] => Ashburn
                            [ja] => アッシュバーン
                            [pt-BR] => Ashburn
                            [ru] => Ашберн
                            [zh-CN] => 阿什本
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                )

        )

    [location:protected] => GeoIp2\Record\Location Object
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                    [0] => averageIncome
                    [1] => accuracyRadius
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [latitude] => 39.0469
                    [longitude] => -77.4903
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                    [time_zone] => America/New_York
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
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            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [code] => 20149
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        )

    [subdivisions:protected] => Array
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            [0] => GeoIp2\Record\Subdivision Object
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                            [0] => confidence
                            [1] => geonameId
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                    [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [geoname_id] => 6254928
                            [iso_code] => VA
                            [names] => Array
                                (
                                    [de] => Virginia
                                    [en] => Virginia
                                    [es] => Virginia
                                    [fr] => Virginie
                                    [ja] => バージニア州
                                    [pt-BR] => Virgínia
                                    [ru] => Вирджиния
                                    [zh-CN] => 弗吉尼亚州
                                )

                        )

                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
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            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

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

            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [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
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                )

        )

    [country:protected] => GeoIp2\Record\Country Object
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            [validAttributes:protected] => Array
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                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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                    [0] => en
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
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                        (
                            [de] => USA
                            [en] => United States
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                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
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                )

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    [locales:protected] => Array
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        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
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            [validAttributes:protected] => Array
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                    [0] => queriesRemaining
                )

            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
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            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
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            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [zh-CN] => 美国
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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                    [0] => confidence
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                    [1] => autonomousSystemOrganization
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                    [18] => organization
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                    [20] => userCount
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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [ip_address] => 18.97.9.174
                    [prefix_len] => 18
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    [raw:protected] => Array
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                            [en] => Ashburn
                            [es] => Ashburn
                            [fr] => Ashburn
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                            [pt-BR] => Ashburn
                            [ru] => Ашберн
                            [zh-CN] => 阿什本
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                    [geoname_id] => 6255149
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                            [de] => Nordamerika
                            [en] => North America
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                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
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                            [ru] => США
                            [zh-CN] => 美国
                        )

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            [location] => Array
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                    [accuracy_radius] => 20
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                    [metro_code] => 511
                    [time_zone] => America/New_York
                )

            [postal] => Array
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                    [code] => 20149
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            [registered_country] => Array
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                    [iso_code] => US
                    [names] => Array
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                            [de] => USA
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                            [es] => Estados Unidos
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                            [zh-CN] => 美国
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            [subdivisions] => Array
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                    [0] => Array
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                            [geoname_id] => 6254928
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                            [names] => Array
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                                    [de] => Virginia
                                    [en] => Virginia
                                    [es] => Virginia
                                    [fr] => Virginie
                                    [ja] => バージニア州
                                    [pt-BR] => Virgínia
                                    [ru] => Вирджиния
                                    [zh-CN] => 弗吉尼亚州
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                        )

                )

            [traits] => Array
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                    [ip_address] => 18.97.9.174
                    [prefix_len] => 18
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        )

)

 country : United States
 city : Ashburn
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS14618
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

+1 ▼

Discovery Plus Streaming Dataset - Web Scraping Discovery Plus Data

Scrape Discovery+ data insights with comprehensive Discovery+ datasets, including viewing habits, user preferences, and trending shows. Use Discovery+ data scraping and Discovery+ media content scraping for detailed streaming analysis. Uncover

  • Title
  • Genre
  • Release Date
  • Ratings
Get Started

Discovery+ Streaming Dataset

We scrape Discovery+ data across Japan, Italy, Germany, Canada, USA, Australia, UK, UAE, China, India, Switzerland, Qatar, Singapore, Ireland, Macao SAR, Luxembourg, Austria, Denmark, and Norway. Discovery+ datasets, obtained through web scraping, encompass comprehensive data extraction from Discovery+'s streaming service. This includes Discovery+ data scraping, Discovery+ video streaming data extraction, and Discovery+ media content scraping. These datasets provide insights into viewing habits, user preferences, trending shows, and content metadata. By using Discovery+ streaming service data scraping techniques, businesses can analyze audience behavior, optimize content recommendations, and monitor platform performance. This data is essential for market research, content strategy development, and enhancing user engagement on the Discovery+ platform.

Discovery+ Datasets Explained

Discovery+ datasets encompass data obtained through Discovery+ streaming service data scraping, including movie and TV show data scraping, content catalog scraping, and metadata scraping. These datasets provide insights into Discovery+ content for analytics and strategic decision-making. We guarantee accurate and current information on:

  • Title
  • Genre
  • Release Year
  • Director
  • Cast
  • Duration
  • Rating
  • Languages
  • Country
  • Awards
  • Viewer Ratings
  • Streaming Quality
  • Availability
  • Watch History
  • Recommendations
  • Viewing Devices
  • Playback Settings
  • User Profiles
  • Search History
  • Content Tags
  • Content Updates
  • Streaming Metrics
  • Content Popularity
  • Content Engagement
  • Content Trends
  • Content Recommendations
  • Content Licensing
  • Content Restrictions
  • Viewer Feedback
  • User Interactions
Datasets-Explained
IdTitleTypeGenreRelease_YearDuration (min)IMDb_RatingLanguageDirectorCastDescriptionDiscoveryPlus_URLSeasonsAwards_WonContent_RatingProduction_CompanyStreaming_Availability
1Gold RushTV SeriesReality, Adventure201045 (avg ep)7.5EnglishVariousParker Schnabel, Todd HoffmanMiners searching for gold in Alaska and Canada.https://www.discoveryplus.com/show/gold-rush12NoneTV-14Discovery CommunicationsAvailable on Discovery+
2Deadliest CatchTV SeriesReality, Documentary200545 (avg ep)8.4EnglishVariousSig Hansen, Keith ColburnCrab fishermen in the Bering Sea face perilous waters.https://www.discoveryplus.com/show/deadliest-catch17NoneTV-14Discovery CommunicationsAvailable on Discovery+
Get Started
Flexible-Data-Delivery

Flexible Data Delivery

Customized for your Discovery+ data scraping requirements, we offer flexibility in output formats, storage preferences, and delivery timelines:

  • Scrape Discovery+ datasets in preferred formats such as JSON and CSV;
  • Retrieve data via SFTP or seamlessly integrate with cloud storage solutions like Google Cloud Storage, AWS S3, and others;
  • Choose from one-time, monthly, quarterly, or bi-annual extraction frequencies to align with your specific needs.
Get Started

Secure Premium Industry Data with Ease

Premium-Industry-Datasets-on-Demand
Premium Industry Datasets on Demand

Access Actowiz's curated enterprise datasets for precise data insights, sourced by top web data specialists.

Efficiency Meets Expertise
Efficiency Meets Expertise

Save time; our team expertly extracts data for analysis, aligning with strategic business goals cost-effectively.

Tailored Data Solutions for Your Enterprise
Tailored Data Solutions for Your Enterprise

Receive tailored industry datasets; our flexible methods align with unique business needs for optimal decisions.

Commitment-to-Ethical-Data-Practices
Commitment to Ethical Data Practices

Actowiz leads Ethical Web Data Collection, upholding GDPR and CCPA, setting standards for responsible data practices./p>

Pricing Overview

Standard-Pricing

Standard Pricing

  • Standardized Data Offerings with readily accessible datasets.
  • Consistent Data Framework that ensures clarity and consistency.
  • Top-tier Data Integrity from the most intricate data channels.

Flexible Delivery Options:

  • Monthly Updates
  • Quarterly Deliveries
  • One-off Purchases
Get Started
Recommended
Custom-Pricing

Custom Pricing

  • Tailored Data Retrieval precisely aligned with your business needs.
  • Adaptable Data Framework crafted to fit your unique needs.
  • Scalable & Dynamic Offerings to ensure flexibility and scalability.
  • Streamlined Communication ensures smooth and instant communication.

Varied Delivery Options:

  • Daily Updates
  • Weekly Snapshots
  • Monthly Insights
  • Quarterly Reports
  • Customized Frequencies to Suit You
Get Started

Inclusive Benefits Across All Plans:

Get Started
  • Expert Data Extraction
  • Regulatory Assurance
  • Personalized Support
  • Broad Data Coverage

Why Choose Actowiz Solutions’ Datasets?

Assessing-Your-Data-Requirements

Assessing Your Data Requirements:

Our first step is to delve into your company's specifics and business goals, ensuring we align perfectly with your data aspirations.

Crafting-Tailored-Data-Solutions

Crafting Tailored Data Solutions

Leveraging our robust in-house web scraping tools, we design a bespoke strategy tailored to your data extraction needs.

Sample-Data-Preview

Sample Data Preview

Experience firsthand with a sample of our company data. Gauge its quality and familiarize yourself with our seamless data delivery mechanism.

Steadfast-Data-Streamlining

Steadfast Data Streamlining

Once aligned, we initiate regular data dispatches based on the frequency and specifications we've mutually agreed upon.

Frequently Asked Questions

Discovery+ datasets refer to structured collections of data obtained through Discovery+ data scraping and Discovery+ video streaming data extraction. These datasets encompass a wide range of information related to Discovery+'s content library, user interactions, and platform performance. They include details such as movie and TV show titles, genres, release years, director and cast information, viewer ratings, streaming quality options, availability in different regions, user preferences, and viewing histories. Discovery+ datasets are valuable for market analysis, content recommendation systems, viewer behavior analytics, and improving content delivery strategies.
Choosing Discovery+ datasets over traditional web scraping offers structured and reliable data specifically tailored for comprehensive analysis of Discovery+'s media content and streaming service. Discovery+ datasets, obtained through methods like Discovery+ media content scraping, Discovery+ streaming service data scraping, and Discovery+ movie and TV show data scraping, provide curated information such as detailed metadata, viewer preferences, and content performance metrics. Unlike ad-hoc web scraping, Discovery+ datasets ensure consistent data quality and format, facilitating easier integration into analytical tools and databases. This approach saves time and resources while ensuring accurate insights for optimizing content strategies, enhancing user experience, and making informed business decisions.
You can obtain Discovery+ data from various sources, primarily through methods like Discovery+ content catalog scraping and metadata scraping for Discovery+. These techniques involve gathering comprehensive information about Discovery+'s media content, including movie and TV show titles, genres, release years, director and cast details, ratings, and viewer reviews. Utilizing APIs provided by Discovery+ or employing web scraping tools can ensure accurate and up-to-date data retrieval. This data is crucial for market analysis, content recommendation systems, viewer behavior analytics, and improving content delivery strategies.

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

Request Demo Access icon

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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Aug 14, 2025

Healthcare Review Analytics – Turning Patient Feedback into Insights

Actowiz Solutions turns patient reviews into actionable healthcare insights using AI-powered review scraping, sentiment analysis, and trend tracking.

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How a US Travel Startup Extracted Trip.com Data Without Using the API

US travel startup leveraged custom scraping to extract Trip.com data without using the API, enabling faster insights, competitive pricing, and market analysis.

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India's Holiday Travel Surge Raksha Bandhan to Independence Day 2025

Explore India's holiday travel trends during the 2025 festive season—from Raksha Bandhan to Independence Day. Discover top destinations, travel tips, and booking insights.

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Weekly Tracking of Job Role Demand via Indeed & LinkedIn in Chicago

weekly tracking of job role demand via Indeed & LinkedIn in Chicago, analyzing hiring trends, role popularity, and market demand shifts.
Aug 14, 2025

Healthcare Review Analytics – Turning Patient Feedback into Insights

Actowiz Solutions turns patient reviews into actionable healthcare insights using AI-powered review scraping, sentiment analysis, and trend tracking.

Aug 13, 2025

How AI Job Market Data Scraping is Shaping U.S. Hiring Trends

Discover how AI-driven job market data scraping is transforming U.S. hiring trends with real-time insights, salary benchmarks, and demand forecasting from Actowiz Solutions.

Aug 12, 2025

E-commerce Price Wars: Amazon vs Walmart – Weekly Price Analytics

Discover how weekly price analytics reveal the Amazon vs Walmart e-commerce battle. Actowiz Solutions shares real-time price trends and competitive insights.

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How a US Travel Startup Extracted Trip.com Data Without Using the API

US travel startup leveraged custom scraping to extract Trip.com data without using the API, enabling faster insights, competitive pricing, and market analysis.

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Monthly Pharmacy Product Price Scraping for Pharmacy Products Across UK Portals

Monthly pharmacy product price scraping from UK portals to monitor competitor pricing, track trends, and optimize pharmacy product pricing strategies effectively.

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Building a Price Comparison App Using Multi-Retail Grocery Dataset Integration

building a price comparison app using multi-retail grocery dataset integration to provide accurate, real-time pricing across multiple grocery retailers.

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India's Holiday Travel Surge Raksha Bandhan to Independence Day 2025

Explore India's holiday travel trends during the 2025 festive season—from Raksha Bandhan to Independence Day. Discover top destinations, travel tips, and booking insights.

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2025 Buying Behavior Trends: Smarter Retail Decisions Backed by Data

Explore retail buying behavior trends for 2025 with data-driven insights on Gen Z, AI, omnichannel shopping, and smart decisions from Actowiz Solutions.

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Real-Time Price Monitoring & Benchmarking on Amazon & Walmart for Smarter eCommerce

Use real-time price monitoring to benchmark Amazon & Walmart prices, avoid MAP violations, and power your eCommerce intelligence with Actowiz Solutions.

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Weekly Tracking of Job Role Demand via Indeed & LinkedIn in Chicago

weekly tracking of job role demand via Indeed & LinkedIn in Chicago, analyzing hiring trends, role popularity, and market demand shifts.
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Monthly Tracking of Property Prices in NYC via Realtor.com

monthly tracking of property prices in NYC, using Realtor.com data to analyze market trends, price shifts, and neighborhood-level changes.
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Weekly Uber Eats Data Tracking of Vendor Activity in New York

Analyze vendor trends with Weekly Uber Eats data in New York, tracking menus, pricing, and activity for strategic food delivery insights.
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