Build an IMDb ID List From a Batch of Titles
Paste a column of film and show titles, get one table of IMDb IDs and years, de-duplicated by ID across every query so a repeat title lands once.
What this run is set to
The settings saved on this example. Every one of them is editable once you open it on Apify — these are a starting point, not a limit.
| Setting | Value | What it does |
|---|---|---|
Multiple queries | inception, dune, oppenheimer +2 more | Run several searches in one go, one request per term, results merged and de-duplicated by IMDb id. |
Result type | titles | Which kinds of results to keep: "all" (titles + people + companies), "titles" (movies/shows only, IMDb ids starting tt). |
Max results | 100 | Maximum number of de-duplicated rows to return across all queries. |
Pricing
$0.0025 per item = $2.5 per 1,000
| You are charged for | When | Price |
|---|---|---|
| Item returned | Charged per title/person returned. | $0.0025 |
Pay-per-event pricing: you are billed per result, not per subscription. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-08-03, and they are what you are actually charged.
What you get
A structured dataset — each result includes fields like:
categoryidimagekindrankstarsOrKnownFortitleurlyearyearRangeExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
More use cases for IMDb Search Scraper
Built on IMDb Search Scraper — every input, output field, price and the full how-to are on the tool page.
Where this tool sits
- Categories
- Media & Entertainment Data
- Platforms
- IMDb