Content catalogs, ratings, pricing, and release schedules extracted across every streaming platform and region.
Extract content catalogs, metadata, ratings, reviews, watchlists, release schedules, and pricing information from streaming platforms and entertainment websites to power competitive intelligence and content strategy.
The streaming wars have transformed entertainment. Platforms compete for subscribers with exclusive content, regional libraries, pricing strategies, and user experience. Understanding what content competitors offer, how they rate, what users are saying, and how pricing changes across regions is essential for content acquisition and subscriber retention. We help entertainment businesses, studios, aggregators, and analysts extract public data from any streaming platform or entertainment website. Our web extraction pipelines are platform agnostic, targeting global OTT services, regional players, and entertainment databases.
Our entertainment and OTT extraction solutions capture content catalogs including movie titles, series titles, episode details, season information, release dates, genres, cast and crew, runtime, age ratings, and language availability. We extract metadata such as IMDb scores, Rotten Tomatoes scores, platform specific ratings, and user review counts. We capture pricing and subscription data including monthly fees, annual plans, tiered pricing like basic, standard, premium, free trial availability, and regional price variations. We also extract content availability signals including which titles are leaving soon, new arrivals, and regional content library differences. For example, we can extract the full content catalog of a competitor platform in a specific country to identify content gaps in your own library. We can extract user rating distributions for original content to benchmark performance against industry averages. We can also extract price changes across multiple platforms over time to track competitive positioning.
We build custom entertainment extraction pipelines based on your target platforms, content categories, regions, metadata fields, and extraction frequency from daily to monthly. Delivery options include content catalog datasets, rating comparison reports, pricing change alerts, release calendar exports, and API feeds into your content strategy or competitive intelligence systems. With our extracted data, streaming platforms benchmark their libraries against competitors. Content acquisition teams identify high value titles missing from their catalog. Pricing analysts track competitor subscription changes in real time. And studios measure how their content performs across different OTT services.
A streaming platform's content catalog is its primary asset. Subscribers choose services based on what movies and shows are available. Competitors constantly add new titles, remove existing ones, and rotate regional libraries. Without systematic extraction, content teams make decisions based on incomplete or outdated information. We help entertainment businesses extract content catalog data from any streaming platform or entertainment database. Our web extraction pipelines capture complete libraries including metadata for every title across multiple regions and platforms.
Our content catalog extraction solutions capture movie data including title, original title, release year, runtime, genre classifications, age rating, language, subtitles available, and audio options. For series, we extract show title, season numbers, episode titles per season, episode runtimes, season release dates, and episode release schedules. We capture additional metadata such as director names, cast lists, writers, producers, and production companies. We also extract platform specific identifiers, content tags, and content flags such as 4K availability, HDR support, or download availability. For example, we can extract the full movie catalog of a competitor platform in a specific country to identify which titles are exclusive to them. We can extract all series with a specific genre tag like documentary or thriller to analyze depth in that category. We can also extract episodic data for ongoing series to track when new episodes are released relative to your own schedule.
We build custom catalog extraction pipelines based on your target platforms, target countries or regions, content types including movies, series, or both, metadata fields needed, and extraction frequency from weekly to monthly. Delivery options include content catalog datasets, library comparison reports, genre distribution summaries, exclusivity identification lists, and API feeds into your content management or competitive intelligence systems. With our extracted data, streaming platforms understand exactly what competitors offer. Content acquisition teams identify missing titles for their library. Programming teams spot trends in genre investment across the industry. And analysts track catalog size and composition changes over time.
Ratings and metadata drive content decisions. A movie with high IMDb and Rotten Tomatoes scores is valuable for acquisition. A series with poor user ratings may need repositioning or removal. Critic reviews provide qualitative context. Without systematic extraction, content teams rely on manual checks or incomplete data. We help entertainment businesses extract rating and metadata information from any streaming platform, review aggregator, or entertainment database. Our web extraction pipelines capture numerical scores, rating distributions, critic summaries, and detailed content descriptors at scale.
Our metadata and rating collection solutions extract numerical scores including IMDb average rating, IMDb vote count, Rotten Tomatoes tomatometer score, Rotten Tomatoes audience score, Metacritic score, and platform specific ratings such as Netflix's match percentage or Amazon's star rating. We capture rating distributions showing how many users gave each star rating from one to five or ten. We extract critic reviews including review text, critic name, publication, and score where available. We also extract content descriptors such as parental guides, content warnings, age ratings by region including PG, PG 13, R, or TV MA, and thematic tags like violence, language, or adult content. For example, we can extract IMDb ratings for all movies in a competitor's catalog to identify highly rated titles you may want to acquire. We can extract Rotten Tomatoes audience scores for original series across multiple platforms to benchmark your content against industry averages. We can also extract parental guidance data for children's content to ensure compliance with regional standards.
We build custom metadata extraction pipelines based on your target platforms, target content titles or catalogs, rating sources needed, critic review depth, and extraction frequency from weekly to monthly. Delivery options include rating datasets, score comparison reports, critic review summaries, content descriptor exports, and API feeds into your content valuation or acquisition systems. With our extracted data, content acquisition teams prioritize high rated titles for licensing. Programming teams identify underperforming content for removal or promotion. Parents and compliance teams access age rating data across multiple regional standards. And analysts correlate ratings with viewership to refine content value models.
User reviews reveal what audiences truly think. A high average rating may hide widespread criticism of specific elements like pacing, acting, or plot holes. A low average rating may come from review bombing rather than genuine poor quality. Reading individual reviews at scale is impossible. We help entertainment businesses extract user review and comment data from any streaming platform, review aggregator, or entertainment database. Our web extraction pipelines capture structured review data including text, ratings, metadata, and user information for thousands of titles.
Our user review extraction solutions capture review text including the full written content, review title or headline, and any spoiler warnings. We extract numeric ratings such as star ratings from one to five or ten point scores. We capture engagement metrics including helpfulness votes, like counts, reply counts, and report counts. We extract timestamp data including review date, last edited date, and platform specific indicators such as verified purchase or verified watch. We also capture user profile information where publicly available including username, user review count, user helpfulness score, and join date. For example, we can extract all user reviews for a specific original series across multiple platforms to compare sentiment between services. We can identify reviews with high helpfulness votes to surface the most valued audience opinions. We can also track how review sentiment for a title changes after a controversial episode or casting announcement.
We build custom review extraction pipelines based on your target platforms, target content titles, minimum review rating or length filters, date ranges, and extraction frequency from daily to weekly. Delivery options include review datasets, sentiment summaries by episode or season, helpful review identification lists, review trend reports, and API feeds into your content analytics or audience research systems. With our extracted data, content teams identify specific audience complaints to address in future productions. Marketing teams find authentic positive review quotes for campaigns. Competitive intelligence teams compare audience reception of competing titles. And researchers analyze how review patterns differ across platforms and demographics.
Pricing is a critical lever in the streaming wars. A platform that raises prices may lose subscribers to cheaper competitors. A platform that introduces an ad supported tier may capture price sensitive customers. Regional price differences create arbitrage and cross border subscription shifts. Without systematic extraction, pricing teams react to competitor changes weeks or months late. We help entertainment businesses extract pricing and subscription data from any streaming platform. Our web extraction pipelines capture tiered pricing, promotional offers, free trial terms, and regional variations across multiple countries.
Our pricing and subscription plan extraction solutions capture subscription tier details including tier names such as basic, standard, premium, or ad supported. We extract monthly prices, annual prices, and any discounted prepaid plans like quarterly or half yearly. We capture free trial information including trial duration, credit card requirement, and auto renewal terms. We extract promotional pricing such as first month discounts, student pricing, bundled offers with other services, and telecom carrier partnerships. We also capture regional price variations for the same platform across different countries, accounting for currency and purchasing power differences. For example, we can extract all pricing tiers for competitor platforms in your target markets to see where your pricing sits relative to the market. We can track price change history over time to understand competitor willingness to raise or lower prices. We can also extract promotional offers and limited time discounts to see which customer segments competitors are targeting.
We build custom pricing extraction pipelines based on your target platforms, target countries or regions, subscription tiers, promotional offer tracking, and extraction frequency from weekly to monthly or immediately upon price change detection. Delivery options include pricing comparison datasets, price change alert reports, regional variation matrices, promotional offer trackers, and API feeds into your pricing strategy or competitive intelligence systems. With our extracted data, pricing teams adjust subscription fees based on real competitor positioning. Marketing teams design promotional offers that beat competitor discounts. Finance teams model subscriber response to price changes using historical competitor data. And strategy teams identify markets where competitors are overpriced or underpriced.
Streaming libraries are not static. Titles arrive every week. Titles leave every month. A movie that moves from one platform to another can shift subscriber preference overnight. A series that leaves without warning creates subscriber frustration. Tracking these changes across multiple platforms and regions is impossible manually. We help entertainment businesses extract new arrival and leaving soon data from any streaming platform. Our web extraction pipelines capture coming soon announcements, weekly release schedules, and expiration notices at the regional level.
Our new arrival and leaving soon extraction solutions capture incoming title data including movie and series titles, arrival dates, episode drop schedules for weekly releases, and season premiere dates. We extract content metadata for new arrivals including genres, runtime, cast, language, and age rating. For leaving titles, we capture departure dates, last watch notices, and platform specific expiration flags. We also track regional differences in arrival and departure dates, as a title may leave in one country but remain in another. For example, we can extract all new arrivals across competitor platforms for the next 30 days to identify content gaps in your own upcoming schedule. We can track leaving soon titles to alert subscribers before favorites disappear, reducing churn risk. We can also identify titles moving from one platform to another, revealing licensing shifts and potential acquisition targets.
We build custom arrival and departure extraction pipelines based on your target platforms, target countries or regions, content types including movies or series, time horizon such as next 7, 30, or 90 days, and extraction frequency from daily to weekly. Delivery options include new arrival datasets, leaving soon alerts, release calendar exports, regional difference reports, and API feeds into your content planning or subscriber communication systems. With our extracted data, streaming platforms benchmark their upcoming content against competitors. Marketing teams promote new arrivals before competitors announce similar titles. Retention teams warn subscribers about leaving favorites and suggest alternatives. And content acquisition teams identify high value titles moving between services.
Tell us your target platforms and geographies. We'll send a proposal within 24 hours.