Streaming catalogs collected per country, with availability windows, offer types and prices. Metadata only - we never touch the video itself.
Streaming Platforms
Studios and Content Owners
Licensing and Distribution Teams
Content Discovery and Guide Apps
Media Research Agencies
Equity Research and Investment Firms
Advertising and Media Planning Agencies
Smart TV and Device Manufacturers
Telecom Operators with TV Bundles
Recommendation and AI Teams
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
A streaming catalog is not one catalog. Rights are licensed per territory, so the same title sits in the library in one country and is missing in the next. Every project here is built around collecting each country separately and comparing the results.
Titles enter and leave libraries as licences start and expire. Daily collection turns that into an add and drop log per platform and per country.
Answer where a given title is watchable, on which service and under which offer type, across the markets you care about.
Compare catalog overlap between competing services to see which library is genuinely exclusive and which is largely shared.
Rental and purchase prices differ by title, quality tier and country. Track them the way retail prices are tracked.
Power a guide or aggregator app with deep links, artwork and per-country availability without maintaining dozens of collectors yourself.
Platform top ten and trending rows are country-specific and change daily. Collected over time they are a demand signal.
Fill gaps in your own catalog with synopses, cast, genres, maturity ratings, audio and subtitle tracks as the platform actually presents them.
We collect catalog metadata and commercial terms. We do not download, decrypt or redistribute video, and we do not bypass DRM.
Expertly customized web scraping services at a fraction of the cost of building and running collection in-house.
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Monitoring of real estate listings on funda.nl, pararius.com, rentberry.com, rentola.com, and zimmo.be to support the growth of a European property portal.
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Daily detection of new private property listings in Switzerland on Homegate.ch and ImmoScout24.ch, giving the agency first access to high-value leads.
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Daily monitoring of car listings on car.gr and autoscout24.com, collecting full technical specifications to support a European auto dealer.
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Scraping residential listings from Immobilienscout24.de in Germany and Mallorca, including complete data and resized images.
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Scraping supplement products from iHerb.com with full details, including descriptions and packaging variations.
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Weekly scraping of new real estate listings from PropertyGuru.com.my with full property and agent details.
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Each market is collected separately, because a single catalog request answers for one territory only and mixing them produces a library that exists nowhere.
Platform IDs do not line up. We match on title, year, runtime and cast so one title resolves to one row across services.
We keep first seen and last seen dates per title per country, which is what makes churn measurable instead of a set of disconnected snapshots.
You pay for the dataset, not for proxies, browser farms and the engineering time to keep them alive.
We collect what the catalog page publishes. No video is downloaded and no content protection is circumvented, which keeps the dataset usable in a commercial product.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
No. We collect catalog metadata and commercial terms - what is listed, in which country, under which offer type and at what price. Video is protected by DRM, and bypassing it is neither legal nor something we do.
Because streaming rights are licensed per territory. The same service can carry a title in one market and not in the next, and the licence can expire on different dates in each. Any serious catalog dataset is collected country by country.
We record first seen and last seen dates per title per country. A title that stops appearing in daily collection is flagged as dropped, which in practice is how licence expiry becomes visible from outside.
Yes, where the platform sells them. Prices vary by title, by quality tier and by country, so they are collected as separate rows rather than a single price per title.
Yes. Platform identifiers do not align, so matching runs on title, original title, release year, runtime and cast. Ambiguous cases are flagged rather than silently merged.
CSV, Excel, JSON, JSONLines or XML, delivered over FTP, SFTP, Amazon S3, Google Cloud Storage, Dropbox, Google Drive or email. We can also write directly into your database.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
