Reddit Posts Scraper ($0.99/1k posts)

Reddit Posts Scraper extracts posts from any subreddit and from Reddit keyword search — title, body text, score, upvote ratio, comment count, flair, media, author, and community — and hands them back as structured JSON, CSV, or Excel. Paste a subreddit name, a keyword, or a reddit.com URL you copied from your browser, hit start, and the data lands in a dataset you can download or pull through the API.

No Reddit account, no Reddit API key, no OAuth app registration. You are charged $0.99 per 1,000 posts, and only for posts that actually reach your dataset.

What data can you extract from Reddit?

One row per post, 15 fields:

Field	Example	Notes
id	1abc234	Reddit's post id
title	What's your favourite async library?
postText	I've been using asyncio for…	Empty on link and media posts
postUrl	https://www.reddit.com/r/python/comments/…	Full permalink
communityName	r/python
authorName	some_user	[deleted] when the account is gone
score	1423	Upvotes minus downvotes
upVoteRatio	0.97	0–1
commentsCount	212
flair	Discussion	null when unflaired
isNSFW	false
mediaAssets	[{"type": "image", "url": "https://i.redd.it/…"}]	Galleries, videos, images, GIFs; [] for text posts
externalUrl	https://example.com/article	null for text and Reddit-hosted media
createdAt	2026-02-14T09:31:07+00:00	ISO 8601, UTC
scrapedAt	2026-02-18T11:02:44+00:00	ISO 8601, UTC

Features

• Subreddit listings in the same order reddit.com shows them: Hot, New, Top, Rising.
• Keyword search across all of Reddit, or confined to the communities you choose, sorted by relevance, hot, top, new, or comment count.
• Pasted URLs — copy a subreddit or search URL out of your browser and it is scraped exactly as it appears, sort included. A link to a single post is not a source: this Actor scrapes a subreddit's posts, not one post's comments.
• Date windows — keep only posts created inside a window; on a newest-first run the scraper stops paging as soon as it walks past your start date, so you don't pay for posts you filter out.
• NSFW filter, off by default.
• Deduplication across sources — scrape three subreddits and two keywords in one run and each post is saved once, even when it matches several of them.
• Mixed runs — subreddits, searches, and pasted URLs all in a single run, each with its own budget.
• Platform extras — schedule runs, get results via API, export to CSV/JSON/Excel, or wire the output into Make, Zapier, n8n, Google Sheets, Slack, and the rest of Apify's integrations.

How to scrape Reddit posts

1. Click Try for free and sign in to your Apify account.
2. Type one or more subreddits — names, not links: python, r/python, or python+django for several at once. Or leave that empty and fill in search terms instead.
3. Pick a sort: Hot, New, Rising, or one of the Top options, which carry their own time window — Top — past week, Top — past year, and so on.
4. Set Max posts per subreddit (and Max posts per search term). This is your cost ceiling: 100 posts from each of 5 subreddits is at most 500 posts, or $0.5
5. Optionally narrow with Posted after / Posted before and the NSFW toggle. Both dates are included in full, so picking the same day in both boxes scrapes that day.
6. Click Start and watch the log. Results appear in the Storage tab and can be downloaded as JSON, CSV, or Excel.

Input example

{
  "subreddits": ["python", "learnpython"],
  "sort": "top_week",
  "maxPostsPerSubreddit": 100,
  "searchTerms": ["fastapi", "async database"],
  "searchWithinSubreddits": ["python"],
  "searchSort": "new",
  "maxPostsPerSearchTerm": 50,
  "postedAfter": "2026-01-01",
  "includeNSFW": false
}

That run scrapes two subreddit listings and two searches confined to r/python, keeps only posts from 2026 onward, and stops at 100 posts per subreddit and 50 per search term.

Output example

{
  "id": "1abc234",
  "title": "What's your favourite async library in 2026?",
  "postText": "I've been using asyncio directly for years, but…",
  "postUrl": "https://www.reddit.com/r/python/comments/1abc234/whats_your_favourite_async_library_in_2026/",
  "communityName": "r/python",
  "authorName": "some_user",
  "score": 1423,
  "upVoteRatio": 0.97,
  "commentsCount": 212,
  "flair": "Discussion",
  "isNSFW": false,
  "mediaAssets": [],
  "externalUrl": null,
  "createdAt": "2026-02-14T09:31:07+00:00",
  "scrapedAt": "2026-02-18T11:02:44+00:00"
}

How much does it cost to scrape Reddit posts?

$0.99 per 1,000 posts — $0.00099 per post — charged per post saved to your dataset. Plus a small platform fee when a run starts; see the Pricing tab for the exact current numbers.

You want	You pay
100 posts	$0.099
1,000 posts	$0.99
10,000 posts	$9.90
100,000 posts	$99.00

Two things keep the bill honest:

• Filtered posts are free. NSFW posts you excluded and posts outside your date window are never saved and never charged.
• Duplicates are free. A post matching both a subreddit listing and a keyword search in the same run is saved and charged once.

Apify's free plan comes with monthly usage credit, so you can try a few thousand posts before paying anything. To cap a run hard, set a maximum charge on it in the Console — the scraper stops the moment the limit is reached, mid-run, rather than overshooting it.

How does this compare to other Reddit scrapers?

	This scraper	Typical alternatives
Price per 1,000 posts	$0.99	$1.5–$5
Subreddits and keyword search	Both, in one run	Usually one or the other, as separate actors
Charged for	Posts saved	Posts returned, or compute time
Duplicates across sources	Removed run-wide	Often billed twice
Reddit API key required	No	Sometimes

Limits and troubleshooting

Why can't I get more than about 1,000 posts from a subreddit?

That is Reddit's limit, not the scraper's: a listing stops offering the "next page" cursor at roughly 1,000 posts, and often earlier, because removed and hidden posts count against the limit without being returned. When a run hits it you'll see Listing exhausted at N posts, no further pages offered. in the log — the run keeps going with your other sources.

To pull more than 1,000 posts from one community, use several sources instead of one big one:

• Scrape the same subreddit under different sorts (New, Top, Hot, Rising) — the windows overlap, and duplicates are removed and only charged once.
• Scrape Top with several time windows: past week, month, year, all time.
• Add keyword searches confined to that subreddit; each term is its own 1,000-post budget.
• Use Posted after / Posted before to sweep the archive in date slices. Both ends of a slice are included, so start the next one on the following day: 1–15 January, then 16–31 January.

Which sorts accept a time window?

Reddit applies a time window to the Top sort only, matching reddit.com, so the listing sort carries its window with it: pick Top — past week and you get exactly that. Hot, New, and Rising always span all time — there is no window to set on them and no way to ask for one Reddit would ignore. The search time window is its own field, because search does honour it on every search sort.

The run finished with fewer posts than I asked for

Either the source ran out (a small subreddit, a rare keyword), or your filters removed posts, or Reddit's ~1,000-post cap was reached, or a few posts came back in a shape the scraper could not read and were skipped — the summary counts those separately and each one is named in the log. The log tells you which: each page logs the source it came from and the posts saved so far, and the run ends on a summary line of how many posts were requested, found, and saved overall.

FAQ

Do I need a Reddit account or API key?

No. The scraper reads Reddit's public data the same way a logged-out visitor does. There is nothing to register, and no credentials to hand over.

Can I scrape comments too?

Not yet — this scraper covers posts. Comment scraping is next on the roadmap; if you need it, open an issue and say so, it moves things up the list.

Can I run this on a schedule?

Yes. Schedule the actor in Apify Console (hourly, daily, weekly) and each run appends to a dataset you can poll from the API, push into Google Sheets or Slack, or diff to spot new posts on a keyword. Monitoring a brand or a keyword across communities is exactly what the search input is for.

Can I call it from my own code?

Yes — start runs and read results through the Apify API, the Python client, or the JavaScript client. The dataset is available as JSON, CSV, Excel, or XML.

What can I use Reddit post data for?

Market and product research, brand and competitor monitoring, lead generation from communities where your buyers ask questions, trend detection through Rising and New feeds, sentiment analysis, academic research, content ideas, and training or evaluation datasets for AI.

Support

Found a bug, or need a field the scraper doesn't return yet? Open an issue on the actor's Issues tab — issues are read and answered. Feature requests are welcome, and custom variants of this scraper can be built on request.