IMDb shows the same film under a different title, certificate and release date depending on the visitor's country. Our IMDb scraper pins every row to the tt id and the original title.
Plans from €169/month · Free project assessment · Reply within 1 business day
You send the scope - a list of tt ids, a genre and year range from Advanced title search, the Top 250, a studio's slate, every episode of a set of TV series - and we return the table. We build the crawler, run it once or on your schedule, and repair it when IMDb changes its page layout.
IMDb turns away plain automated requests and loads parts of each page with scripts, so rendering, pacing, proxy rotation and CAPTCHA handling are part of the service. Because titles, certificates and release dates follow the visitor's country, we fix the country each run is read from and write it into every row. We never sign in: IMDbPro sections and anything else behind an account stay outside the dataset.
Every title lives at /title/ plus an IMDb id that starts with tt, every person at /name/ plus an id that starts with nm, and neither key changes with the language the page is shown in. A row per title carries:
Series add an episode table: season, episode number, air date, title, plot, rating and votes for each episode, with seasons kept as their own column. Name pages return professions, Known for titles and the credit list by role - the public record of published work. Family and other private details on name pages are left out by default.
A title page is a snapshot. The picture comes from the lists around it and from reading them again.
IMDb is an Amazon company that presents itself as the leading source of information on movies, TV shows and celebrities. Beside the public site it runs IMDbPro for industry professionals and Box Office Mojo, which is credited under its box office chart.
For a data buyer the structure matters more than the size. Everything hangs on two id families: tt for titles and nm for people. A title is not only a film - TV series, mini series, single episodes, shorts, video games, music videos and podcasts are titles too, each with its own tt id, and an episode points back to its series. Every title fans out into sub-pages with stable addresses: full credits, ratings, release info, company credits, awards, parents guide, trivia. One film is a dozen pages, not one.
IMDb also adapts the page to the visitor. A visitor in Poland finds The Shawshank Redemption headed Skazani na Shawshank with the original title underneath, the Polish certificate beside the year and the Polish release date under Details. A run has to be anchored to one country, or a single column ends up mixing several.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Teams that ask how to scrape IMDb want different columns for different jobs.
Can you scrape IMDb at catalogue scale? Yes: we split the catalogue into search slices by title type, year and genre and merge the results on the tt id.
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: clients describe the data they need, we build and run the crawlers and deliver the dataset. Entertainment databases are their own kind of work - many small linked pages per title, values that depend on the visitor's country, and counters that drift every day.
The project assessment is free, a sample can be ordered before you commit, and field documentation comes with the delivery. Personal data is handled under GDPR, and we do not sell dossiers on people.
Yes. The ScrapeIt IMDb API returns tt id, original title, year, IMDb rating, number of votes, genres and principal cast as JSON from an endpoint we host, refreshed on the schedule you set. The same rows also arrive as CSV or XLSX files, a JSON feed or a load into your database.
Yes. Title pages, ratings, credits, charts and box office figures are open to any visitor without an account. We collect only publicly available data - everything a visitor can see on IMDb - and we collect it legally. Sections behind a sign-in, IMDbPro included, are not part of the dataset.
For each title: the user review count, the critic review count, the Metascore and the rating histogram, plus the featured reviews shown to visitors with headline, score, date and text. The full review archive opens only after sign-in, and we never sign in, so it is not included. Reviewer nicknames are personal data and are left out by default.
Yes. We read the Top 250, the Most popular charts and Top box office on the schedule you set and store rank, rating and votes with the date of the run. The box office chart is published per weekend, so one run a week captures it; the other charts can be read daily. The result is a history of entries, exits and rank changes per tt id.
Either. IMDb shows a localised title, certificate and release date according to the visitor's country, with the Original title beside it. We fix the country of each run, keep the original title in its own column, and can add the full Also known as and release date lists by market from the release info page.
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.
IMDb data from €169/month. Free project assessment, reply within 1 business day.
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