Hear the specific problem
Product teams can read how people describe a problem in their own words, then open the thread before deciding what to build.
Find the conversation beneath the headline.
Find mentions inside Reddit discussions that a post-title search would miss. Live availability and price cannot be confirmed right now. Check the current catalogue before planning a run.
Built for useful work
Search for a product name or recurring complaint, then open the matching threads to understand the context. Choose newest first for recent discussion or relevance when exploring a subject.
Product teams can read how people describe a problem in their own words, then open the thread before deciding what to build.
Collect mentions of your category for a research shortlist. Read the context before deciding whether a reply would be useful.
From source to working data
Search comments for a product, brand or topic. Extract comment text, author, subreddit, score, date and thread links.
Explore the output fieldsA live run could not be confirmed. This page shows intended fields and limitations for evaluation only.
Current availability
We cannot confirm a live quote for this scraper right now. Open the dashboard to check the current catalogue before relying on it.
A few useful details
Review the intended inputs and limits. Check current availability before using this scraper in a workflow.
Read the endpoint referenceSearch the text of comments across Reddit, up to 300 characters.
Example: web scraping
Choices: Newest first · Most relevant. Default: Newest first.
The first page may contain fewer results than this limit.
Choose a whole number from 1 to 50. Default: 20.
Comment records include text, author, subreddit, score, date and thread links. A search match is not a qualified sales lead.
This does not download every reply, recover deleted comments or provide a complete historical archive.
Saves the first public search result page only. Reddit chooses which comments are visible; this is not a complete archive or an assessment of buying intent.
Live availability cannot be confirmed right now. Check the dashboard for a current quote before creating a monitor. Scheduling does not add automatic pagination or AI analysis.
There is no result from this scraper while a live run is unavailable. For available scrapers, saved runs and exports appear in your dashboard.
Only if the corresponding operation is currently available. Connect your agent through Integrations. Ask it to check the current catalogue, explain the settings and show the cost before running.
Your next step
Availability could not be confirmed. Check the current catalogue before choosing this scraper.
Has anyone found an easier way to export this?
We tried this for our reporting workflow.