Extract clean, structured movie and TV metadata from any IMDb title page—ratings, votes, genres, runtime, release dates, plot summaries, directors, writers, and top cast—to power catalog building, acquisition research, and editorial planning for entertainment analysts, content teams, and film/TV marketers worldwide. Easily export to Google Sheets, Airtable, or Notion and enrich or summarize with AI. Maintained by Bardeen for reliable, up-to-date scraping.
This IMDb title page scraper is built for content acquisition analysts, entertainment researchers, and film/TV marketers who need accurate, structured title data at scale. Capture core metadata from any title page, including title, year, release date, rating and vote count, genres, runtime, plot summary, directors, writers, principal cast, and (where available) awards and box office. It’s ideal for global teams working across multiple territories and catalogs.
Use the extracted dataset to evaluate titles for licensing, benchmark franchises, assemble press kits and one-sheets, or build SEO-optimized editorial calendars. With Bardeen, you can batch multiple titles into a single table, enrich with AI summaries, categorize by genre, deduplicate cast, compute custom scores, and send everything to Google Sheets, Airtable, Notion, or your internal tools—ready for analysis and reporting.
Maintained and updated by Bardeen, this template stays aligned with IMDb changes to deliver consistent, high-quality data extraction you can trust.
With Bardeen, you can do much more than just web scraping. After extracting data from any website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.
SOC 2 Type II, GDPR and CASA Tier 2 and 3 certified — so you can automate with confidence at any scale.
