Extract Video Data from IMDb Scraper in 3 Steps

The fastest path from page to dataset is an Actor that already knows the site. Thirdwatch's IMDb Scraper turns IMDb Scraper into structured video data — the fields you need, ready to export.

Skip the setup: Run this as a ready-to-go task on Apify — pre-loaded with the configuration from this guide.

Why quickstart video data

Every data project starts the same way: someone spends a week writing a scraper, then another week un-breaking it. Skipping the build step means the first rows land in minutes.

The Actor takes a short input list and returns structured rows — no selectors, no sessions, no retries to write.

The scraper handles the extraction details so a short input list in means usable video data out.

How does this compare to the alternatives?

Why this Actor

• Purpose-built for this source — searchQuery in, structured rows out.
• Pay per result — no subscriptions, free tier to test.
• Dataset output exports as JSON, CSV, Excel, or via API.
• Schedulable — save the task and run it daily or weekly.
• Part of the Thirdwatch portfolio — 140+ public Actors maintained as a fleet.

How to do it in 3 steps

Step 1: Configure the input

Set the inputs as shown below — searchQuery takes the targets, the optional fields bound run size — start small and scale.

Step 2: Run the Actor

Run it from the console, the API, or the linked saved task. One dataset row is written per row.

Step 3: Use the output

Each row carries the fields this source exposes (title, url, description).

{
  "maxResults": 20
}

Each dataset row looks like:

{
  "title": "\u2026",
  "url": "\u2026",
  "description": "\u2026"
}

What to watch for

Results reflect what's publicly visible at run time. Very large pulls take proportionally longer; bound them with the max/limit fields. For content research, scheduled small runs beat occasional giant ones.

Related use cases

• All Thirdwatch use-case guides

Run the IMDb Scraper on Apify Store — pay per result, free to try, no credit card to test.