Reddit Search Scraper V2
Pricing
from $1.10 / 1,000 results
Reddit Search Scraper V2 — cached data source (results may lag up to ~1.5h). Structured JSON, no login, no API key. For real-time data use the V1 actor.
Keywords to search on Reddit. Each query runs for every type selected in "Search for". For example, enter ["python developer", "machine learning"] to run both searches in one job.
[ "machine learning"]Which entity types each query returns. For example, select "Posts" for threads, or add "Communities" and "Users" to also find matching subreddits and accounts.
[ "posts"]If set, each query is restricted to these subreddits. For example, ["SaaS", "Entrepreneur"] searches your keywords only inside those two communities.
[ "learnpython"]Result ordering. For example, choose "Top" to get the highest-scoring posts, or "New" for the most recent ones first.
Time window for the search. For example, choose "Past month" to only return posts created in the last 30 days.
Include the body text of matched posts. For example, leave this on to capture the full "selftext" of a discussion thread, or turn it off for lighter, title-only results.
Include results flagged over-18 / NSFW. For example, set this to true when scraping subreddits where NSFW-tagged posts are relevant; otherwise they are skipped.
Hard cap on results saved across the whole run. For example, set 50 to stop after 50 items. A run lasts at most ~10 minutes.
Cap on results kept per query. For example, with 3 keywords and a value of 25, each keyword contributes up to 25 results.
Retry attempts per failed request. For example, 3 means a failing request is retried up to three times before it is skipped.
Politeness delay between requests, in milliseconds. For example, 300 waits 0.3 seconds between requests; increase it to slow the run down.