Reddit Scraper

Reddit Scraper: posts and full post text from any subreddit or user, no login

Give it a list of subreddits or user profiles and it returns their posts as rows. Title, author, the whole body text, permalink, timestamp, and a cleaned narration version of the body if you want one.

One thing to know before you start, because it changes what the rows look like. The keyless path reads the public feed, and that feed does not carry vote data. score and numComments arrive as 0, upvoteRatio and flair as null, on every row. That is the feed staying quiet, not the post having no votes. If you need the real numbers, add your own free Reddit app credentials and set method to oauth.

🔍 What Reddit Scraper does

You hand it a mixed list. askreddit, r/tifu, u/GallowBoob, a full reddit.com link: all four shapes work and you can put them in the same list. It reads one page per source, in the sort order you picked, and writes one row per post.

Every row carries the full selftext, not a truncated preview. With cleanText left on you also get a narration field with the markdown, links and edit stamps taken out, and ttsSegments holding that text split into sentences, which is the shape a text-to-speech step wants.

dedupeAcrossRuns is on by default. It remembers the last 5,000 post ids it delivered, so a daily run on the same subreddit gives you what is new rather than the same ten posts again.

📥 What you give it

{
  "sources": ["r/tifu", "r/AskReddit", "u/GallowBoob"],
  "sort": "top",
  "time": "week",
  "maxPostsPerSubreddit": 25
}

Give it at least one source. Leave sources empty and the run does not stop: it falls back to r/amitheasshole, fetches those posts and bills you for them.

📤 What you get back

A real row from a real run, on the keyless path:

{
  "id": "1wf18de",
  "subreddit": "AskReddit",
  "sourceType": "subreddit",
  "sourceName": "AskReddit",
  "sort": "top",
  "timeRange": "day",
  "title": "What are some creepy or unbelievable facts you know about 9/11?",
  "url": "https://www.reddit.com/r/AskReddit/comments/1wf18de/what_are_some_creepy...",
  "author": "DeltaBravo_",
  "score": 0,
  "upvoteRatio": null,
  "numComments": 0,
  "createdUtc": 1789285288,
  "over18": false,
  "isStory": false,
  "flair": null,
  "selftext": "",
  "postType": "link",
  "scriptText": "What are some creepy or unbelievable facts you know about 9/11?",
  "narration": "",
  "ttsSegments": [],
  "wordCount": 11,
  "readTimeSeconds": 4.4,
  "hookScore": 56,
  "fitsShort": false,
  "fetchedAt": "2026-09-14T05:46:11.426Z"
}

🧾 Reading the output

Every row in the dataset is a post, and every post row is charged. This actor writes no sample rows and no diagnostic rows, so there is nothing to filter out.

Which fields actually carry a value depends on the path you ran:

A source that is private, banned or misspelled writes a warning into the run log and produces no row. If every source fails that way the run still finishes green with an empty dataset, so check the row count rather than the run status.

▶️ How to run it

1. Open Reddit Scraper and click Try for free. 2. Put your subreddits and profiles into Sources, one per line. 3. Pick a Sort and, for top or controversial, a Time range. 4. Set Max stories per subreddit. Start at 10 while you look at the row shape. 5. Click Start, then download the dataset as JSON, CSV or Excel, or read it from the API.

💰 How much does it cost?

$0.50 per 1,000 rows. Flat on every Apify plan, no volume tiers.

You pay per row delivered. A source that comes back empty produces no rows, and a post that dedupeAcrossRuns already gave you is never delivered again, so neither adds anything to your bill.

💡 What people use it for

• Pulling story posts for short-form video, which is what narration, ttsSegments and fitsShort

exist for.

• Watching a handful of subreddits daily and only reading what is new, with dedupe doing the work.
• Building a text corpus where the full body matters and a preview snippet would be useless.
• Tracking what one prolific poster is putting out, by pointing it at u/<name> instead of a sub.

🚧 What it does not do

• No keyword search. It reads sources you name. Searching Reddit is a separate actor, linked

below.

• No vote data without your own credentials. On the keyless path score and numComments are

written as 0 rather than left empty, which is easy to misread as a post nobody touched.

• minScore and includeNsfw do nothing on the keyless path. There is no score to filter on,

and over-18 posts come through labelled over18: false. Run oauth if either filter matters.

• Credentials alone are not enough. Set method to oauth as well, or the run stays keyless

and ignores them.

• One page per source. 100 posts is the hard ceiling for a single source in a single run.
• Link posts hide the destination. url is the Reddit permalink, never the article it points at.
• rawMode skips comments. Ask for Reddit's own object and you get that, without the comments

array.

• Comments are unreliable while keyless. Set commentLimit without oauth and they usually come

back empty.

🧭 Which Reddit actor do you need?

❓ Questions people ask

Do I need a Reddit account? Not for the default run. The credential fields are optional and only buy you scores, comment counts and comment bodies.

Why is every score 0? The keyless feed does not publish vote counts, and the row writes 0 rather than leaving the field empty. Add your own app credentials and set method to oauth.

My second run returned nothing. Is it broken? Probably not. dedupeAcrossRuns is on, so a run that finds only posts you already have delivers nothing. Turn it off to see everything again.

Can I get more than 100 posts from one subreddit? Not in one run. Split the work across sorts and time windows, or schedule it and let dedupe collect over days.

Is scraping Reddit legal? This reads public posts only, never private messages or accounts. The rows can still hold personal data, which GDPR and similar laws cover, so have a reason for keeping it. Apify's write-up on the legality of web scraping is a sensible starting point, and we are not lawyers.

Can I run it on a schedule? Yes. Use Apify's scheduler, or start it from the API and read the dataset when it finishes.

🆘 If something breaks

Open the Issues tab on the actor page. Include the sources you asked for and the run ID, and the log tells us the rest.