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OTT Datasets
Extract OTT Streaming Data

Retail Scrape specializes in web scraping structured OTT Datasets to extract valuable insights into content performance, viewer trends, and subscription dynamics. Our solutions are purpose-built to Extract OTT Streaming Data from leading platforms, enabling precise audience segmentation and real-time analytics.

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We are the top pricing intelligence company for these leading business enterprises.
Alibaba
AliExpress
Amazon
apple
Costco
eBay
Google-Shopping
hm
Kohls
Samsung
Shopify
Shopware
Target
Walmart
Wayfair
WooCommerce
Alibaba 1
Amazon 1
Best Buy 1
ebay 1
Flipkart 1
Lazada 1
Shopee 1
Shopware 1
Walmart 1

Empower Streaming Intelligence with Accurate Data

Access structured Streaming Media Datasets tailored to streaming industry use cases. From OTT User Behavior Datasets to viewer churn models and engagement scoring, our data empowers stakeholders with the insights they need to act faster and smarter in an increasingly crowded market.

List of Data Fields

Retail Scrape delivers high-quality OTT Data Extraction for essential performance, engagement, and content insights. Our solutions ensure high-quality, scalable access to core attributes using standardized Streaming Content Metadata ready for seamless analysis and platform integration.

    Content Title

    Genre Type

    Release Date

    Episode Count

    Series Name

    Watch Time

    Viewer Count

    Region Data

    Language Info

    Platform Name

    User Reviews

    Star Ratings

    Viewer Age

    Viewer Gender

    Cast Details

    Crew Info

    Skip Rate

    Drop-off Rate

    Churn Signals

    Subscription Type

    Ad Clicks

    Ad Skips

    Completion Rate

    Playback Errors

    Device Type

    Stream Quality

    Trending Rank

    License Type

    Session Length

    Content Tags

List-of-Data-Fields

Pricing begins at just $20 and includes complimentary datasets to kickstart your analysis.

Harness our datasets for impactful insights and informed decisions.

Dataset Collection Process

Data-Identification
Insight Planning
Source-Selection
Source Mapping
Data-Extraction
Access Structuring
Data Validation
Accuracy Checksn
Data-Storage
Format Delivery
Data-Identification

Insight Planning

This initial phase involves identifying critical metrics, user interaction points, and monetization parameters. From ad visibility to engagement depth, this step sets the stage for extracting OTT Ad Performance Datasets highlighting campaign efficiency and viewer interaction trends across various content categories.

Source-Selection

Source Mapping

We strategically select target platforms and regions based on content diversity, audience engagement, and data availability. This process is key to gathering consistent Video Streaming Datasets across devices, geographies, and genres—ensuring that performance insights reflect platform-specific behavior.

Data-Extraction

Access Structuring

We define access paths, content endpoints, and extraction logic while focusing on real-time performance and viewer interaction markers. This phase ensures the structured capture of Subscription-Based OTT Datasets, including pricing tiers, trial durations, and retention patterns from multiple providers.

Data-Validation

Accuracy Checks

Once the data is collected, it's validated for consistency, structure, and duplication issues. This quality control step enhances the reliability of insights derived from Web Scraping OTT Data, ensuring you receive high-quality datasets for strategic decision-making.

Data-Storage

Format Delivery

In this final step, the refined datasets are formatted into CSV, JSON, or XML as per client needs. The structured OTT Data Collection is organized for seamless integration with analytics platforms and business workflows, enabling quick deployment of insights across teams.

Full-Spectrum Streaming Analytics with OTT Datasets

Gain deep viewer and content insights with OTT Content Datasets that reveal performance trends across titles, genres, and platforms. Track ad effectiveness using OTT Ad Performance Datasets to optimize monetization strategies and improve user engagement with dynamic placement and targeting. Our team delivers comprehensive Digital Streaming Datasets to empower more intelligent decisions in content planning, audience retention, and streaming growth.

    Viewership Trends

    Audience Segmentation

    Ad Click-Throughs

    Subscription Metrics

    Genre Popularity

    Retention Tracking

    Session Timelines

    Regional Rankings

Full-Spectrum-Streaming-Analytics-with-OTT-Datasets

Flexible OTT Data Export Options

We deliver OTT Datasets in flexible formats such as CSV, JSON, and XML, ensuring smooth compatibility across diverse platforms and systems.

Choose from multiple formats based on your workflow or technical environment.

Select a format that integrates smoothly with your analytics or BI systems.

Easily embed exported data into your existing data processing infrastructure.

Store, manage, and analyze streaming data efficiently using supported formats.

Flexible-OTT-Data-Export-Options
Unified-Visuals-and-Streaming-Intelligence-Dashboards

Unified Visuals and Streaming Intelligence Dashboards

Turn complex streaming metrics into intuitive, actionable dashboards. Use our OTT Platform Datasets to analyze content reach, viewer distribution, and performance trends across multiple services. Leverage OTT Churn Prediction Datasets to identify at-risk users, forecast cancellations, and drive proactive retention strategies.

Consolidate multi-platform streaming data seamlessly

Ensure accurate, validated input across datasets

Visualize performance through dynamic charts and heatmaps

Detect patterns in user engagement, retention, and drop-off

Why Choose Retail Scrape?

1. Expertise in handling complex data scraping projects across industries.
2. Advanced tools and technologies ensure accurate and efficient data extraction.
3. Customizable scraping solutions tailored to meet your specific requirements.
4. Timely and reliable data delivery for informed business decision-making.
5. Ethical scraping practices ensure compliance with legal and regulatory standards.
6. Experience in scraping large datasets with minimal impact on websites.
7. Scalable solutions designed to handle growing data extraction needs.
8. For integration, flexible data formats, including CSV, JSON, and XML.
9. Seamless integration with existing systems for smooth data processing.
10. A dedicated support team is available to address your data scraping needs.
Fuel Competitive Streaming Insights with Real-Time Data
Access structured OTT Datasets to monitor platform engagement, assess show popularity, and align your content with evolving viewer interests.
2-5-Billion
2.5 Billion
Rows Of Data Collected
Websites-Under-Daily-Surveillance
70,000
Websites Under Daily Surveillance
Monitored-Every-Month
130 Countries
Monitored Every Month
Product-Attributes
1200+
Product Attributes
10-years
10 years
in business
FAQ
How can businesses monitor platform performance?
Our solution enables platforms to track user engagement and content impact by using tools to Extract OTT Streaming Data from multiple global streaming services.
What helps identify subscription model trends?
We deliver structured insights using Subscription-Based OTT Datasets, helping platforms analyze user adoption, package preferences, and price sensitivity across regions and demographics.
How is relevant OTT data filtered?
Each data pipeline is built for precision, whereas OTT Data Extraction focuses on relevant fields like user activity, content ratings, and ad interaction patterns.
What powers your cross-platform data delivery?
Our architecture relies on automated pipelines and Web Scraping OTT Data, allowing scalable, real-time extraction from diverse OTT sources with unified formatting.
When is raw streaming data refined?
During processing, structured validation ensures every dataset aligns with business needs by streamlining the OTT Data Collection pipeline for consistency and usability.
How are content attributes organized clearly?
All key media elements are sorted using advanced Streaming Content Metadata that tags titles, genres, durations, languages, and release timelines for deeper content intelligence.

The most highly rated pricing intelligence solution on Google

“We've consistently relied on Retail Scrape for our market and price intelligence requirements since 2013, and they have consistently provided us with exceptionally high-quality service. The data they have consistently delivered has always been exact and reliable.”

James Wilson

“The implementation process was incredibly swift and straightforward, and in just a few months of usage, Retail Scrape has more than justified its cost by saving us a significant amount of time that would otherwise have been spent manually checking web prices. We highly recommend it.”

Emma Shattock

“Our business and operations partners are known for their exceptional collaboration, ensuring timely and responsive customer service. Their solution-oriented approach consistently delivers significant customer value.”

Eric Evans

“I highly commend Retail Scrape's team for their exceptional work and would wholeheartedly endorse their products to fellow startups. Their solution and infrastructure are truly impressive.”

Roy Krakovski

“Without a doubt, our ongoing collaboration with Retail Scrape is assured. As our company expands, it's clear that we will increasingly harness the potential of Retail Scrape's products in the long term.”

Andrew Jones

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Reliable guidance and assistance for your business's advancement


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