Scrape Reddit

Pull posts from a subreddit, or every post matching a search query, as rows.

Available scrapers

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

What it is good for

Reddit is where people describe a problem before they start shopping for a solution. “Has anyone found a decent X?” is a buying intent post written by the buyer, unprompted, with the context attached.

The catch: Reddit gives you a username, not a company. These rows are best used for research and messaging — reading how your market phrases the problem — and for outreach only where the author identifies themselves.

How to use it

1. Open the table and click Table → Import → Scrape Reddit
2. Pick search query or community, and enter the term or subreddit
3. Set a result limit and a sort order
4. Run it, map title / body / author / URL to columns, and click Create Rows
5. Point an AI agent at the body column to classify intent

Schedule Auto Import

Turn on Enable Auto Import in the import panel to re-run the search or community scrape on a frequency instead of only when you click it. Each run reuses the saved term, sort order and column mapping, and appends new posts to the same table.

• Run it manually once and confirm the mapping first — a schedule built on an unverified mapping repeats the same mistake every run
• Weekly, sorted by recency, is the intent play — a scheduled sweep beats one huge historical batch, because intent posts age out fast
• On a slow subreddit, a daily run mostly returns what you already have; match the frequency to how often the community actually posts
• Dedupe on post URL, and keep an AI agent scoring intent so nobody reads raw output
• Cap the result limit before you turn it on — every automatic run spends credits exactly as a manual one does
• Pair it with Auto Run so rows a scheduled run creates enrich themselves

Every schedule appears under Manage scheduled imports, where you can pause, edit, run now, or delete it.

Common use cases

• Harvest the exact phrasing your market uses. Copy written in the customer’s words converts better than copy written in yours.
• Find complaint threads about a competitor. A displacement list, self-assembled.
• Track a category subreddit for buying intent. Re-run weekly and filter on new posts asking for recommendations.
• Validate positioning. If nobody in the subreddit describes the problem your headline names, the headline is wrong.

Best practices

• Sort by recency for intent, by score for research — they are different jobs
• Filter out the perennial “what tool should I use” threads if you only want fresh posts
• Have an AI agent score each post for intent before a human reads any of them
• Do not cold-DM someone based on a post unless their profile invites it — it burns the account and the community
• Re-run weekly rather than pulling one huge historical batch

Where to next

• Reddit integration — the same scrapers as enrichment columns
• AI Agents — classify posts by intent at scale
• Web Scrapers — the rest of the catalogue and its legal obligations