Apify

Run an Apify actor from inside the table and land its dataset as rows.

What it does

Apify is a library of thousands of ready-made scrapers (“actors”). This action executes one in the background and fetches its results when they are ready — so anything with an actor becomes a Sync GTM lead source, without code.

Apify is a SyncGTM native integration — it runs on SyncGTM credits, so there is no external Apify account or API key to connect.

Reach for it when the source you want does not have a built-in scraper in the Scrape group. Where a built-in exists, use it — it is configured and maintained for you.

How to use it

1. Find the actor on Apify and note its ID and the shape of its input
2. Open the table and click Table → Import → Apify
3. Paste the actor ID and its input JSON
4. Run it — the actor runs asynchronously, so results land when the run finishes
5. Map the dataset fields to columns and click Create Rows

Common use cases

• Scrape a source with no built-in action. A niche marketplace, a job board, a regional directory.
• Reuse a scraper you already run elsewhere. Same actor, same input, now feeding a table.
• Sweep a launch site. Product Hunt, Hacker News and similar all have maintained actors.
• Handle an odd page structure. An actor written for one site beats a generic scraper on it.

Best practices

• Test the actor on Apify first and copy the input JSON that worked — debugging input shape is much slower from inside a table
• Cap the actor’s result limit on the first run; some actors will happily return tens of thousands of items
• Keep the raw dataset column and create typed columns from the fields you need
• Expect an actor to break when its target site changes — re-run a small batch after any gap in use
• Check the target site’s terms and your local law before running at volume — see Web Scrapers

Where to next

• Apify integration — the same action as an enrichment column
• Parse JSON — break the raw dataset into usable fields
• Web Scrapers — the built-in scraper catalogue