ITVX prints the leaving date in the record itself. Every episode carries an availability window, so catalogue churn on a broadcaster's streaming service is readable without diffing snapshots.
You set the scope - which categories, whether the schedule ships with the catalogue, and whether you want a single snapshot or a repeating run that turns into a change log of arrivals, tier moves and removals. We build the crawler, run it on your cadence and deliver CSV, JSON, XLSX or an endpoint. Field names and the refresh interval are agreed before the first run.
The engineering is ours. On an ITVX scraping project that means anti-bot handling, proxy rotation and CAPTCHA solving as part of the managed service, and UK exit points, since the service is served to a UK audience. What we will not do is just as firm: we never touch the video stream and go nowhere near content protection, we do not sign in, and we collect no account, profile or viewing records and no personal data. ITV terms forbid extracting data from the service - we say that plainly, and anything contested should go past your own counsel first.
Programme and episode records are open to a signed-out visitor - no account, no player, nothing held behind the paywall. This is what we extract from ITVX for each one.
Two fields carry more weight than the rest. availabilityFrom and availabilityUntil are stamped on every episode, so the day a programme leaves is published rather than guessed. And tier splits the free ad-funded library from ITVX Premium inside the same record, which is the division most buyers of ITVX data actually need to measure.
The broadcast schedule is a second dataset no subscription-only service can offer, and on ITVX it sits in the open beside the catalogue.
The homepage adds a Top 10 Most Watched rail: rank order only, no viewing figures.
ITVX is the streaming service of a British broadcaster, and that is why its data looks nothing like a subscription-only library. Most of the catalogue is free with advertising, ITVX Premium is a paid tier layered onto the same records, and behind both runs a real transmission schedule on ITV1, ITV2, ITVBe, ITV3 and ITV4. A programme therefore exists twice - as a slot in tonight's grid and as an entry in the on-demand catalogue - and the published data links the two.
Addressing follows that structure. A programme page is /watch plus the title slug plus a programme id; an episode page appends the episode id. The same number is carried in three encodings: 2a1926 in the address bar, 2_1926 in the ad parameters, and a slash form used internally. Films and one-off specials are addressed by a production-level id ending in the letter B, so a film has no separate episode layer at all. Every record also carries a seven-character CCID such as gsytf1j, and that CCID keys the artwork host, so images resolve by id and never by title.
Browse is flat and small. Nine categories cover the whole library: Documentaries and Lifestyle, Drama, Kids, Film, Sport, Comedy, News, Entertainment and Reality, and Signed - BSL. Each hub has an /all address that returns the entire category in a single payload, with no pagination and no scroll token. There is no A-Z index for the adult catalogue - the Shows A-Z link in the header belongs to the kids profile - and the search path is closed to crawlers in the robots file. The coverage plan falls out of that: nine /all listings for the programme set, the sitemaps for the episode set, and the dated day pages of the TV guide for the schedule.
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The people who pay to scrape ITVX need to prove where a programme was, on which day, and on what terms.
None of them wants a one-off list of titles. They want the same record read again on a schedule, so that an arrival, a tier change and a removal each land as a dated row. That is the difference between a catalogue dump and a usable feed, and it is why the availability window matters more here than anywhere else.
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.
ScrapeIt is a managed web scraping agency. You describe the dataset, we build and operate the ITVX scraper and hand back files or an API; there is no tool for you to run and no proxy bill to manage. A project here usually opens with a paid sample - a few hundred programmes across two or three categories, with their episode records and a fortnight of schedule - so you can test the fields and the availability dates against your own records before committing to a schedule. Delivery goes to S3, GCS, an SFTP drop, a webhook or a database you nominate.
No. There is no developer portal, no documented ITVX API and no data product for buyers. The site is a single-page application talking to internal services, and those endpoints refuse callers from outside the player, so they are not a supply route. Everything we deliver comes from pages a signed-out visitor can open: programme and episode records, the nine category listings, the dated TV guide pages and the live channel page. What you get from us is an ITVX API of our own - an endpoint over the extracted dataset, with your field names and your refresh interval.
Yes, and it is the most valuable thing on the record. Every episode carries an availability window with both an opening and a closing timestamp, so departures are read rather than derived. The spread is wide: a daily news programme sits for about a week, a licensed film can run just thirty days, an acquired drama boxset two years, and a kids series can be dated out six years ahead. There is an editorial Last Chance to Watch rail as well, but it is curated and short - the dates on the records are the reliable source.
Yes. Access is explicit in the data rather than inferred. Each programme and episode carries a tier of FREE or PAID, a premium boolean beside it, and browse tiles carry an isPaid flag plus a premium tag on the artwork. The free ad-funded library is what the nine category listings return; the paid slate surfaces through the home rails and collections, and includes archive comedy licensed in from other broadcasters. The ITVX Premium price starts at GBP 5.99 with no contract, and titles licensed from third parties name their content owner on the record.
Daily, weekly or monthly, and the schedule side can go faster. The catalogue moves slowly enough that a daily run captures arrivals and removals cleanly; the TV guide is worth pulling every day because the fortnight window rolls forward and only the near days are firm. Output is CSV, JSON, XLSX or a REST endpoint, delivered to S3, GCS, SFTP, a webhook or straight into a database. Every row carries the snapshot date alongside the availability dates, so successive runs stack into a history instead of overwriting each other.
Be clear-eyed. The ITV terms cover personal, non-commercial use and forbid extracting any data or metadata from the services, including by scraping, and forbid building an index or database from the content; the robots file names a list of crawlers and blocks them outright, and closes the search and account paths to everyone else. We work only on pages a signed-out visitor can reach, never sign in, never touch the video stream or content protection, and collect no account, profile or personal data. We are a contractor, not your legal adviser - take the terms and your intended use to your own counsel first.
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.
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