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Serving 45+ countries — AI-powered, enterprise-grade data
LATEST → How we scraped 500K grocery SKUs in 48 hours — read the breakdown Read now
LIVE → Real-time scraping APIs with 99.9% uptime SLA
New grocery & FMCG datasets updated daily
FREE → Download sample datasets — no credit card required Get yours
Serving 45+ countries — AI-powered, enterprise-grade data
Netflix · Prime · Hotstar · JioCinema · Disney+ · SonyLIV · Zee5

OTT & Streaming
Media
Data Scraping

Extract structured content catalogues, pricing tiers, ratings, cast, genres, and availability data from every major OTT platform — across any country, any language, updated on any schedule you need.

  • All major global and Indian OTT platforms covered
  • Content catalogue, metadata, pricing, and subscriber plans
  • Country-by-country availability and geo-licensing data
  • One-time extract or daily/weekly refresh pipeline
  • CSV, JSON, or direct API — your choice
  • Free sample dataset before you commit
// Sample Content Record Live
50+
Platforms
150+
Countries
10K+
Titles/Platform
48hr
Delivery
title platform type genre cast rating language country plan price

Every Major OTT.
One Pipeline.

Global giants to Indian regional platforms — if it streams, we can extract it. We normalise the schema across platforms so you get one consistent dataset regardless of source.

🌐
Global Platforms
  • Netflix
  • Amazon Prime Video
  • Disney+
  • Apple TV+
  • HBO Max / Max
  • Paramount+
  • Peacock
  • Hulu
  • Discovery+
🇮🇳
Indian OTT
  • Hotstar / Disney+ Hotstar
  • JioCinema
  • SonyLIV
  • Zee5
  • MX Player
  • Aha
  • Voot
  • Lionsgate Play
  • ErosNow
  • ShemarooMe
🌏
Regional & Others
  • MUBI
  • Crunchyroll
  • Funimation
  • BritBox
  • Tubi
  • Pluto TV
  • Kayo Sports
  • Stan
  • iQIYI
  • Viki
💬

Don't see your platform? We build custom scrapers for any OTT platform on request — usually scoped and live within 5 business days. Tell us what you need →

Rich Metadata.
Every Field.

Each content record is fully structured — ready to load directly into your analytics stack, recommendation engine, or content intelligence dashboard.

🎬 Content Metadata
title Full content title as listed on the platform
original_title Original language title (for international content)
content_type Movie, Series, Short, Documentary, Special, Sport
genre All genre tags — can be multi-value
subgenre Subgenre or category tags
release_year Original release year
duration_minutes Runtime in minutes (movies) or per-episode (series)
seasons Number of seasons (series only)
episodes Total episode count (series only)
language Original language of the content
age_rating Age certification: U, UA, A, PG-13, R, etc.
description Full synopsis / plot summary
🌍 Availability & Rights
platform Source OTT platform name
country Country the data was collected from
available_in List of countries where title is available
geo_restricted True/false flag for geo-locked content
plan_required Subscription tier needed (Basic, Standard, Premium)
is_free True if available without subscription
is_exclusive True if platform original / exclusive content
added_date Date the title was added to the platform
expiry_date Scheduled removal date (where shown)
dubbed_languages Languages available as dub tracks
subtitle_languages Languages available as subtitles
4k_available True if 4K/UHD version is available
👥 Cast & Crew
director Director name(s)
cast Full cast list — comma separated
lead_cast Top 3–5 billed cast members
producer Production company or producer name
writers Screenplay / story writers
studio Production studio
distributor Distribution company
country_of_origin Country where the content was produced
awards Notable awards won (where listed)
imdb_id IMDb ID for cross-referencing (where available)
imdb_rating IMDb rating at time of scrape
rotten_tomatoes RT score (where listed on platform)
💰 Pricing & Plans
plan_name Subscription plan name (e.g. Mobile, Basic, Premium)
plan_price_inr Monthly price in INR
plan_price_usd Monthly price in USD
plan_currency Local currency of the plan
plan_screens Number of simultaneous screens allowed
plan_resolution Max resolution on this plan (HD, FHD, 4K)
ad_supported True if plan includes ads
trial_days Free trial duration in days (if active)
annual_discount Discount percentage for annual billing
scraped_at Timestamp of data collection (ISO 8601)
source_url Direct URL of the title page on platform
data_freshness Age of this record in hours since last refresh

Exactly What
You Receive

A snapshot from a real multi-platform content catalogue extract. Clean, typed, and query-ready.

title platform type genre language country plan_required imdb_rating is_exclusive added_date
Panchayat S3 Prime Video Series Drama · Comedy Hindi IN Prime 9.0 Yes 2024-05-28
Interstellar Netflix Movie Sci-Fi · Drama English IN Standard 8.7 No 2023-11-01
Scam 1992 SonyLIV Series Crime · Biography Hindi IN Premium 9.5 Yes 2020-10-09
The Bear S2 Disney+ Hotstar Series Drama · Comedy English IN Super 8.8 No 2023-06-22
Kantara Netflix Movie Action · Thriller Kannada IN Basic 8.5 No 2022-11-24

// 5 of N rows shown · full catalogue extract delivered in CSV, JSON, or via API · 40+ fields per record

Who Uses
OTT Data

OTT catalogue and pricing data powers decisions across content strategy, research, competitive intelligence, and product development.

📡
Content Strategy & Acquisition

Track what content competitors are adding, removing, and exclusively licensing. Spot gaps in your catalogue by genre, language, or region before your subscribers do.

  • New title additions by platform
  • Exclusive vs licensed content split
  • Genre and language gap analysis
💸
Pricing & Plan Intelligence

Monitor how competitors price their plans across markets. Detect price changes, new tier launches, trial offer windows, and bundling strategies — before your next board meeting.

  • Plan price tracking by market
  • Trial offer detection
  • Annual vs monthly plan comparison
🎯
Recommendation Engine Training

Build or improve content recommendation models with rich structured metadata — genre, cast, ratings, language, mood tags, and cross-platform availability signals.

  • IMDb and platform rating signals
  • Multi-genre and mood tagging
  • Cast and director graph data
📊
Market Research & Audience Insights

Analyse content trends across OTT platforms — what genres are growing, what languages are being localised, which formats (series vs movie vs short) are expanding.

  • Genre trend tracking over time
  • Regional language content growth
  • Format mix by platform and market
🌍
Rights & Geo-Licensing Analysis

Understand where titles are available and where they are blocked. Map geo-licensing patterns to support acquisition negotiations and distribution strategy.

  • Country-by-country availability maps
  • Geo-restriction detection
  • Windowing and exclusivity tracking
🔍
Journalism & Research

Media analysts, journalists, and academics use OTT catalogue data to track platform strategy, measure content diversity, and study the streaming wars with real data.

  • Historical catalogue snapshots
  • Diversity and language metrics
  • Platform growth tracking over time

Scoped, Sampled &
Delivered in 48 Hours

No contracts upfront. No technical setup on your end. Just tell us what platforms and data points you need.

01
Tell Us Your Platforms & Fields

Share which OTT platforms you need, which countries, and which data points matter most. We scope the extraction and confirm coverage within hours.

02
Free Sample Delivered in 48 Hours

We extract a real sample from your target platforms — 50 to 500 records — and send it in your preferred format. You see exactly what you get before committing.

03
Full Extraction or Live Pipeline

Once you approve the sample, we run the full catalogue extraction. For ongoing monitoring we schedule automatic refreshes — daily, weekly, or custom.

04
Delivered to Your Stack

Data lands in your S3 bucket, Google BigQuery table, Snowflake database, or sent as flat files via email or SFTP. Zero manual steps.

Fits Into Your
Existing Stack

We adapt to your infrastructure — not the other way around.

📁
Flat Files

CSV or JSON files delivered to email, Google Drive, Dropbox, or SFTP.

☁️
Cloud Storage

Auto-pushed to AWS S3, Google Cloud Storage, or Azure Blob on every refresh.

🗄️
Databases

Direct insert into BigQuery, Snowflake, PostgreSQL, or MySQL.

REST API

Query our endpoint for real-time catalogue data with filter and sort params.

Common Questions

We cover all major global platforms — Netflix, Amazon Prime Video, Disney+, Apple TV+, HBO Max, Hulu, Paramount+ — plus Indian platforms including Hotstar, JioCinema, SonyLIV, Zee5, MX Player, Aha, Voot, and more. We also build custom scrapers for any platform not on this list.
Yes. We monitor subscription plan pricing, plan tiers, trial offers, and annual vs monthly pricing across any combination of OTT platforms and countries. You can set up daily tracking to catch changes as soon as they happen.
Yes — this is one of the most common use cases. We can extract which titles are available in which countries, which are geo-restricted, and which platforms carry the same title for rights comparison.
We extract platform-native ratings where available. For deeper review data (text reviews, user scores), we recommend pairing this with our App Store & Play Store review scraping service, which captures user-written reviews for the OTT apps themselves.
Any schedule you need — daily, weekly, or monthly. For catalogue monitoring (new titles added/removed) we recommend daily. For pricing intelligence, daily or weekly is typical. For one-time research projects, a single extract is sufficient.
We extract only publicly visible content — titles, descriptions, genres, cast, and pricing that any visitor sees without logging in. We comply with robots.txt directives and applicable data protection law. We do not access account-gated, DRM-protected, or private subscriber data.
Full catalogue extractions typically cover 5,000 to 50,000+ titles per platform depending on the market and platform size. Netflix India, for example, has around 5,000–6,000 titles. We can scope the exact volume during discovery.
Always. We extract a sample batch from your target platforms — real records, real schema — and deliver it within 48 hours. You see the exact data quality and field coverage before you pay anything.
Get Started

Free Sample Dataset
in 48 Hours

Tell us which platforms and markets you need. We'll send you a real sample — no commitment, no credit card, no sales call required.

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