OT
OTT catalog data
Titles, genres, release dates, content types, availability windows and platform information.
Entertainment & OTT data intelligence
AI-powered entertainment & OTT data scraping
Turn public streaming, cinema and entertainment data into structured intelligence for catalog, availability, release and audience analysis.
Entertainment markets are shaped by changing catalogs, release schedules and audience response. We organize publicly available streaming, cinema, title and review information into datasets that support content and market decisions.
From public pages to useful data
What is entertainment data scraping?
Entertainment markets are shaped by changing catalogs, release schedules and audience response. We organize publicly available streaming, cinema, title and review information into datasets that support content and market decisions.
Cigma combines tailored extraction logic with AI-assisted mapping and validation where appropriate. The objective is a dependable dataset that fits your research, commercial or operational workflow—not an unstructured collection of raw pages.
Data we extract
Build the dataset your team actually needs
Every project starts with a field map. We collect only publicly available information that is relevant to your use case, then normalize it into an agreed structure.
SH
Showtime data
Cinema listings, venues, screening times, locations and public ticketing-facing details.
TL
Title data
Title names, cast and crew fields where public, synopsis, genre and age-rating information.
AV
Availability data
Public title availability by platform, market, date or service plan where exposed.
RV
Review data
Public ratings, review counts, review text and recurring audience feedback themes.
RL
Release data
Release dates, upcoming-title information and catalog-change signals.
From data to decisions
Entertainment intelligence use cases
The same public data can answer different business questions. We define collection and output around the decisions your team needs to make.
CI
Catalog intelligence
Monitor public content catalogs, title availability and release movement.
SI
Showtime intelligence
Create structured cinema and venue datasets for local market analysis.
CM
Competitive monitoring
Compare public title, catalog and availability signals across relevant services.
AI
Audience intelligence
Use public rating and review patterns to understand reception around titles and genres.
TR
Trend research
Follow release, genre and catalog changes to support market research.
LM
Location monitoring
Analyze cinemas, showtimes and title availability by region or city.
AI-powered extraction
A more structured route from page to dataset
AI can help identify page context, map relevant values to defined fields and validate records against agreed rules. We use it as part of a practical workflow—not as an unsupported promise of fully autonomous collection.
- Understand the source and required field structure
- Extract relevant publicly available information
- Validate, normalize and remove duplicates where required
- Structure records to match your agreed schema
- Deliver data in the format and frequency you need
Public web sources
Custom workflows for the sources you need
We assess public streaming, cinema, ticketing and entertainment pages based on the title, market, catalog and audience fields you need.
We do not claim support for a source until the required workflow has been assessed.
Who uses this data
Useful across specialist teams
- Streaming and media businesses
- Cinema, venue and ticketing operators
- Content research teams
- Entertainment technology platforms
- Market research and consulting firms
- Investment and media-analysis teams
Flexible delivery
Get data in the format you need
Your delivery method should fit the people and systems using the data. We can prepare structured outputs for one-time or scheduled delivery.
- CSV, Excel, JSON and XML files
- API or database-ready delivery
- Cloud storage and custom data feeds
- One-time datasets or scheduled updates
- Field normalization based on your schema
How Cigma works
A transparent data workflow
01
Define requirements
Share the public sources, fields, geography and update frequency that matter to your team.
02
Design the workflow
We assess source feasibility and configure an extraction and data-structure approach.
03
Extract and validate
Public information is collected, normalized and checked against the agreed data rules.
04
Deliver the dataset
Receive a sample or feed in the agreed format so your team can begin using the information.
05
Monitor and update
For recurring needs, the workflow can be maintained and run on an agreed schedule.
06
Refine as you learn
Add or refine fields as your commercial, research or product questions evolve.
Explore more data intelligence
Related AI-powered web scraping solutions
Explore the AI-powered web scraping service hub or review other industry data solutions: E-commerce, Travel & Tourism, Food Delivery, Finance, Jobs & Recruitment, News & Media, Real Estate.
Frequently asked questions
Entertainment data scraping FAQs
What is entertainment data scraping?
It is the structured collection of publicly available catalog, showtime, title, availability, rating and review information.
Can Cigma collect OTT catalog data?
We can assess public streaming sources against the required catalog, title and availability fields before proposing a workflow.
Can entertainment data be delivered by market?
Yes. A dataset can be structured around regions, venues, platforms, title types or dates where the source supports it.
How is data delivered?
We can prepare agreed datasets for CSV, Excel, JSON, XML, API, database or cloud-storage delivery.
Is public web data collection legal?
Each project should be assessed individually. We focus on publicly available information while considering applicable laws, privacy requirements, contractual restrictions and website terms.
How do we get started?
Share the public sources, fields, geography and refresh frequency you need. We will help define a practical scope.