OTT & Streaming Media Data Scraping Services for Catalog, Pricing & Audience Intelligence
Extract structured streaming catalogs, movie and TV show metadata, SVOD/AVOD subscription pricing, global licensing windows, and viewer sentiment. MaaTech Analytics delivers automated web scraping and content analytics feeds for media studios, streaming operators, and entertainment researchers.
*Field accuracy verified via multi-point schema validation, automated deduplication, and QA audits before delivery.
Free sample in 24 hours, no credit card, you keep the data
What Is OTT Data Scraping?
OTT data scraping is the automated extraction of publicly available streaming catalogs, content metadata, subscription pricing, regional licensing windows, viewer reviews, and trending charts from digital video, audio, and gaming streaming platforms.
With streaming services constantly acquiring, delisting, and repricing content across hundreds of international territories, automated scrapers convert fragmented online streaming portals into structured, unified datasets (JSON, CSV, or REST APIs) that drive content acquisition, competitive pricing, and audience analytics.
What OTT & Entertainment Data Can We Scrape?
Granular data fields captured across thousands of movies, TV shows, streaming services, and international licensing territories.
Movie & Show Content Metadata
- ✔ Title Name, Original Title & Localized Translations
- ✔ Content Type (Movie, TV Series, Mini-Series, Special)
- ✔ Release Year, Theatrical Date & Streaming Debut
- ✔ Age Classification & Content Rating (PG, R, TV-MA)
- ✔ Runtime, Season Count & Episode Lists with Synopses
- ✔ High-Res Artwork, Poster URLs & Trailer Links
Regional Availability & Licensing
- ✔ Country-by-Country Streaming Availability (50+ Countries)
- ✔ Access Model: SVOD, AVOD, TVOD Rental, Digital Buy
- ✔ New Content Additions & Licensing Expiration Dates
- ✔ Theatrical-to-Digital Window Duration Tracking
- ✔ Geo-Blocked Titles & Catalog Variance Across Regions
- ✔ Telecom & ISP Streaming Bundle Inclusions
Subscription Pricing & Plan Tiers
- ✔ Monthly & Annual Subscription Rates Across Currencies
- ✔ Ad-Supported (AVOD) vs Ad-Free (SVOD) Price Gaps
- ✔ Video Quality Tiers (HD, Full HD, 4K Ultra HD, Dolby Vision)
- ✔ Concurrent Screen Limits & Password-Sharing Surcharges
- ✔ Free Trial Durations, Promotional Discounts & Bundles
- ✔ Price Increase Timestamps & Historical Tariff Changes
Cast, Crew & Production Credits
- ✔ Directors, Showrunners, Creators & Screenwriters
- ✔ Full Cast List & Character Name Attribution
- ✔ Production Studios, Distributors & Country of Origin
- ✔ Audio Tracks (Dubbed Languages) & Subtitle Options
- ✔ Budget & Global Box Office Revenue Metrics
- ✔ Award Nominations & Wins (Oscars, Emmys, Baftas)
Top 10 Trending Charts & Rankings
- ✔ Daily Top 10 Movies & Shows by Country
- ✔ Days on Chart & Peak Position Achieved
- ✔ Featured Hero Carousel Placements & Homepage Slots
- ✔ Algorithmic Category Row Rankings ("Trending Now")
- ✔ Hours Viewed & Global Watch-Time Metrics (Where Public)
- ✔ New Arrival Shelf Placement Velocity
Ratings, Reviews & Sentiment Data
- ✔ IMDb Rating & Total Vote Counts
- ✔ Rotten Tomatoes Tomatometer & Popcorn Audience Score
- ✔ Metacritic Critic Metascores & User Scores
- ✔ Letterboxd & Google Audience Approval Percentages
- ✔ Full Text User Reviews & Critic Editorial Excerpts
- ✔ NLP Sentiment Breakdown Across Plot, Pacing, and Acting
Music & Podcast Streaming Data
- ✔ Daily Top 50 & Viral 50 Track Charts (Spotify, Apple)
- ✔ Monthly Listeners, Follower Counts & Artist Catalog
- ✔ Curated Editorial Playlist Inclusions & Track Positions
- ✔ Podcast Episode Metadata, Show Notes & Chart Ranks
- ✔ Audio Release Dates, Record Label & ISRC Codes
- ✔ Album Track Listings & Genre Classifications
Gaming & Live Stream Analytics
- ✔ Concurrent Viewer Counts on Twitch & YouTube Gaming
- ✔ Hours Streamed & Hours Watched by Game Category
- ✔ Top Streamer Channel Followers & Stream Durations
- ✔ Game Title Directory Rankings & Viewership Trends
- ✔ In-Game Esports Tournament Viewership Spikes
- ✔ Chat Engagement & Streamer Monetization Badges
OTT Mobile App Data
App-visible data: catalogs, plans and promotional banners shown to users.
- ✔ Native Android & iOS Mobile Network API Capture
- ✔ Mobile-Only Subscription Plans & Free Trial Offers
- ✔ In-App Banner Promos & Content Push Notifications
- ✔ App Search Autocomplete Trending Suggestions
- ✔ App Store & Google Play Ratings & Version Release Notes
- ✔ Downloadable Content Offline Flags
Entertainment Intelligence Solutions for Media Executives
End-to-end data harvesting and analytical intelligence built for studios, streaming platforms, and entertainment investors.
Competitive Catalog & Content Benchmarking
Benchmark your streaming library size, genre diversity, and high-rated content proportion against Netflix, Prime Video, and Disney+. Identify catalog gaps in key international markets.
SVOD, AVOD & Ad-Tier Pricing Strategy
Monitor global subscription price increases, ad-supported tier rollouts, and annual discount structures. Optimize your consumer subscription pricing across diverse purchasing power regions.
Global Content Licensing & Windowing Audits
Track when film studios license titles to competing platforms and when licensing rights expire. Gain data-backed intelligence for upcoming content bidding and distribution negotiations.
Audience Sentiment & Critical Reception Analysis
Aggregate viewer reviews from IMDb, Rotten Tomatoes, and social forums. Use NLP sentiment analytics to gauge real audience reaction to new show releases, casting decisions, and season finales.
Trending Charts & Content Longevity Tracking
Track how many consecutive days top titles remain in the Top 10 rankings. Measure content decay curves and assess the true ROI of original content production investments.
Metadata Enrichment for Content Aggregators & TV Guides
Feed clean, standardized movie and TV metadata directly into smart TV operating systems, universal search apps, and streaming discovery portals via automated APIs.
Sample OTT Streaming Dataset (Illustrative)
| Title | Platform | Country | Type | Year | Genre | Access Model | IMDb | Rotten Tomatoes | Availability |
|---|---|---|---|---|---|---|---|---|---|
| Stranger Things (Season 4) | Netflix | United States | TV Series | 2022 | Sci-Fi / Horror | SVOD (Standard $15.49) | ⭐ 8.7 (1,340,000) | 92% Fresh | Available (4K HDR) |
| The Lord of the Rings: The Rings of Power | Prime Video | United Kingdom | TV Series | 2022 | Fantasy / Drama | SVOD (£8.99/mo) | ⭐ 7.0 (360,000) | 83% Fresh | Available (Dolby Vision) |
| Oppenheimer | Apple TV+ / iTunes | Germany | Feature Film | 2023 | Biography / Drama | TVOD Rental (€3.99) | ⭐ 8.9 (780,000) | 93% Certified | 4K UHD Rental |
| Succession (Complete Series) | Max (HBO) | United States | TV Series | 2018–2023 | Drama | SVOD ($16.99/mo) | ⭐ 8.9 (245,000) | 95% Fresh | Available (All 4 Seasons) |
| Demon Slayer: Kimetsu no Yaiba | Crunchyroll | India | Anime Series | 2019–2024 | Anime / Action | SVOD (₹99/mo) | ⭐ 8.6 (165,000) | 98% Audience | Dub & Subbed (Hindi/Eng) |
OTT & Streaming Platforms We Scrape
High-concurrency crawlers engineered for all major global and regional SVOD, AVOD, and TVOD streaming providers.
OTT Data Fields, Matching & Cleaning
Standardized data taxonomy mapped across titles, plans, licensing windows, cast, and audience feedback.
Standard Data Fields & Refresh Frequency
| Data Category | Standard Output Fields | Refresh Frequency |
|---|---|---|
| Content Entity | Title Name, Original Title, Universal IDs (IMDb/TMDb/EIDR), Release Year, Age Rating, Genre Tags, Poster/Backdrop URLs | Daily / Scheduled |
| Licensing & Availability | Streaming Service, Country Code, Access Tier (SVOD/AVOD/TVOD), Addition Date, Delisting Warning Date, Quality (4K/HDR) | Daily / Real-Time API |
| Pricing & Subscription Plans | Monthly Tariff, Annual Bundle, Ad-Tier Price, TVOD Rental Rate, Free Trial Days, Currency, Plan Screen Limits | Weekly / On-Change |
| Series & Episode Hierarchy | Season Number, Episode Number, Episode Title, Synopsis, Runtime, Air Date, Director, Guest Stars, Audio/Subtitle Tracks | Daily / Scheduled |
| Rankings & Trending | Daily Top 10 Rank, Days in Top 10, Featured Hero Carousel Placement, Category Row Position, Viewership Hours | Daily / Hourly |
| Reviews & Sentiment | IMDb Rating & Votes, Rotten Tomatoes Score, Metacritic Score, Full User Review Texts, Review Dates, Sentiment Breakdown | Daily / Weekly |
Cross-Platform Title Matching & Normalization
Movies and shows are often listed with localized titles, alternate spellings, and missing release years across streaming platforms. Our entity resolution engine solves title disparity:
- Universal ID Cross-Referencing: Maps titles using IMDb, TMDb, ISAN, and EIDR identifier registries.
- Multilingual Title Normalization: Reconciles regional translations and foreign-language titles.
- Cast & Release Year Verification: Distinguishes reboots, sequels, and remakes through director and release year matching.
- Confidence Scoring: Provides automated match probability ratings for automated ingestion into your data warehouse.
Data Cleaning, Normalization & Validation
Raw streaming web pages contain inconsistent genre taxonomies, localized price currencies, and character encoding errors. Our multi-stage pipeline guarantees production-ready feeds:
- Standardized Genre & Age Taxonomies: Unifies platform-specific tags into standardized industry categories.
- Deduplication & Anomaly Detection: Removes duplicate catalog entries and flags sudden title delistings.
- Strict JSON Schema Enforcement: Validates field data types, null checks, and required schema attributes.
- Timestamped Historical Audit Trails: Maintains exact crawl timestamps for historical catalog availability audits.
Our OTT Data Scraping Process
An 8-step engineering workflow built for multi-country streaming platforms, catalog tracking, and enterprise SLA reliability.
1. Requirement Discovery
Identify target streaming platforms, countries, languages, content types, and required metadata attributes.
2. Source & Platform Mapping
Map streaming catalog search endpoints, browse hierarchies, country routing, and rate limits.
3. Schema Definition
Define custom JSON/CSV schemas, season-episode hierarchies, licensing window tags, and delivery formats.
4. Extraction Setup
Resilient browser-based collection with polite rate limits, dynamic session management, and adaptive crawling.
5. Cleaning & Normalization
Standardize genre taxonomies, normalize titles, and execute cross-platform universal ID matching.
6. Validation & QA
Run automated integrity checks, verify delisting events, and conduct manual QA audits before export.
7. Dataset & API Delivery
Push structured datasets via REST API endpoints, AWS S3 buckets, Snowflake, or CSV feeds.
8. Scheduled Monitoring
Continuous crawler health checks, automated schema healing, and 24/7 technical maintenance.
OTT Data Delivery Formats: CSV, JSON, API & Cloud
Integrate clean streaming datasets seamlessly into your internal content CMS, recommendation engines, and BI tools.
Structured File Exports (CSV, JSON, Excel)
JSON, CSV, Excel (XLSX), XML, and Apache Parquet files ready for immediate spreadsheet review or Python/R analysis.
Cloud Storage Delivery (S3, GCS, Azure, SFTP)
Automated hourly and daily sync directly into Amazon S3, Google Cloud Storage (GCS), Azure Blob, or SFTP buckets.
REST API & Data Warehouse Integration
Low-latency REST API endpoints, real-time webhooks, and direct streaming into Snowflake, BigQuery, PostgreSQL, and MongoDB.
Who Uses OTT and Streaming Media Data?
Strategic intelligence powering decision-makers across the entertainment, streaming, and media ecosystem.
Film Studios & Production Houses
Benchmark international licensing deal values, track competitor theatrical-to-streaming windows, and evaluate audience demand.
Streaming Platforms & Broadcasters
Audit competitor catalog sizes, monitor SVOD/AVOD pricing changes, and identify high-performing content genres to acquire.
Content Discovery & TV Guide Portals
Enrich universal search engines and smart TV interfaces with accurate, real-time "where to watch" streaming links.
Music Labels & Artist Agencies
Track track playlist placements, daily top chart velocity, and artist follower growth across Spotify and Apple Music.
Media Analytics & Market Research
Quantify global streaming market share shifts, content catalog churn rates, and viewer sentiment across demographics.
Media Investors & Private Equity
Perform commercial due diligence on streaming roll-ups, content catalog acquisitions, and entertainment tech ventures.
OTT Data Scraping Case Studies
Real-world results delivered to international streaming services and entertainment content aggregators.
Global Licensing Window Tracking Across 42 Streaming Platforms
Challenge: An independent film distributor lacked visibility into when licensed titles expired from competitor streaming platforms across 18 European and Asian territories.
Solution: MaaTech configured automated daily scrapers monitoring content additions, removals, and TVOD pricing across major global and regional platforms.
*Client anonymised, reference available under NDA.
Real-Time Streaming Availability for 350,000+ Titles
Challenge: A streaming guide app with 2M+ active users struggled with outdated "where to watch" data, leading to user churn and negative app store reviews.
Solution: We engineered high-concurrency automated webhooks delivering daily catalog delta feeds across Netflix, Prime Video, Disney+, Apple TV+, and regional services.
*Client anonymised, reference available under NDA.
Why Choose MaaTech Analytics for OTT Data Scraping?
Turn complex web data collection into a more manageable business operation. MaaTech Analytics helps organizations collect, structure, and prepare web data for analytics, research, monitoring, and informed decision-making through solutions tailored to their data requirements.
In-House vs DIY Scraping Tools vs MaaTech Analytics
| Evaluation criteria | In-house data collection internal team engineering | DIY scraping tools off-the-shelf software | MaaTech Analytics tailored data solutions, managed |
|---|---|---|---|
| Platform coverage and setup | Engineers build and test an extractor for each platform, such as Netflix, Prime Video, Disney+, Apple TV+ and Max | Templates or generic scrapers, often limited to a few platforms and configured one by one | Extractors scoped to your OTT platforms, broadcasters and catalog fields, with a free sample dataset first |
| Country-level catalogue coverage | Your team builds and maintains country proxy routing and geo-restricted catalog handling | Location handling depends on the tool and is often set manually per area | Collection set up across target countries, regions, languages and platforms, as scoped |
| Catalogue, plan and licence-window depth | Depends on the schema your team designs | Often limited to listing-level fields; season episodes, 4K tiers and licensing windows need custom work | Titles, seasons, episodes, cast, crew, SVOD/AVOD plans, licensing windows and 4K tiers captured as defined in agreed schema |
| Cross-platform title matching | You build and tune your own matching logic for movie and show titles | Usually not included; duplicates are cleaned by hand | Matching through normalized titles, release year, IMDb/ISAN IDs, and director/cast similarity, with confidence scores |
| Data quality checks | Whatever validation your team builds and maintains | Mostly basic success or failure; cleaning is left to you | Schema validation, duplicate and outlier checks, and QA audits before delivery |
| Platform and layout changes | Your engineers diagnose and fix breakages | You monitor failures and wait for a tool update or fix them yourself | Monitoring and scraper maintenance under the service agreement |
| Refresh frequency | Depends on your infrastructure and proxy setup | Limited by plan, run quotas and tool capabilities | Hourly, daily or on-demand schedules agreed during scoping |
| Data delivery and integration | Depends on internal pipelines and storage | Exports and integrations depend on what the tool offers | JSON, CSV, Excel, XML or Parquet; S3, GCS, Azure Blob or SFTP; REST API; Snowflake, BigQuery, PostgreSQL or MongoDB |
| Compliance and documentation | Your legal and engineering teams define and document the rules | Your responsibility, within the tool's terms | Publicly available data only, no personal data or login credentials, rate-limited collection, within the agreed scope |
| Time to first usable data | Planning, development and testing before the first dataset | Days to configure, then cleaning and checks on your side | Free sample first, then production per the agreed scope |
| Cost planning | Salaries, proxies, infrastructure, maintenance and development | Subscription, infrastructure and internal effort | Quoted after scoping: platforms × countries × refresh frequency |
Key Advantages of MaaTech Analytics
Title & Metadata Level Accuracy
Extract complete title hierarchies, episode lists, 4K HDR quality tiers, and licensing dates rather than simple surface titles.
Resilient Collection
Resilient browser-based collection with polite rate limits, dynamic session management, and adaptive crawling prevents collection disruption.
Unified Cross-Platform Mapping
Seamlessly match identical movies and shows across Netflix, Prime Video, Disney+, and Apple TV+ using universal identifier registries.
High-Frequency Data Refresh
Configure crawls for hourly Top 10 trending updates, daily scheduled catalog syncs, or on-demand REST API queries.
99.8% Data Accuracy SLA
Every data feed is verified through automated schema checks, outlier detection, and QA audits before delivery.
Dedicated Support & Setup
Direct communication with experienced data engineers who handle ongoing layout updates and scraper maintenance under the service agreement.
Responsible & Compliant Data Collection
Publicly available data only, no personal data or login credentials, rate-limited collection, within the agreed scope. What is not collected: DRM-protected video streams, private subscriber viewing histories, user billing details, or internal broadcaster metrics.
Related Data Scraping & Analytics Services
Discover complementary data extraction solutions engineered by MaaTech Analytics.
OTT & Streaming Media Data Scraping FAQs
Everything you need to know about our web scraping pipelines, custom data solutions, compliance, and onboarding.
Get a Free OTT Streaming Data Sample in 24 Hours
Tell us your target streaming platforms, countries, and content genres. Our data engineers will configure a customized proof-of-concept sample dataset in 24 hours. Pricing is quoted after scoping (platforms × countries × refresh frequency).
24-Hour Sample Proof of Concept
Free Multi-Platform Streaming Catalog & Pricing Sample
Strict Data Accuracy & Compliance
Multi-Country Catalog Availability with 99.8% Accuracy
Autonomous Anti-Bot Bypassing
Continuous Automated Pipelines with Anti-Bot Resilience
Fast Engineering Turnaround
Dedicated Engineering Support with < 4 Hour Response
Non-Disclosure Agreement (NDA) available on request prior to technical scoping.