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Reddit Scraper - Posts, Comments, Search & Subreddits

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Scrape Reddit posts, comments, subreddits, user profiles, and keyword search results - no API key, no rate limits, no login. From $2 per 1,000 results, pay only for what you use. Full comment threads, 60+ fields per post, media and galleries. Works with AI Agents, MCP, n8n, Make, Zapier and more.

Pricing

from $1.50 / 1,000 result saveds

Rating

4.5

(39)

Developer

Harsh Maur

Actor stats

136

Bookmarked

13K

Total users

3.4K

Monthly active users

11 hours

Issues response

44 minutes ago

Last modified

Categories

Social media

Lead generation

Search Keywords

searchTerms

Optional

Enter one or more keywords to search Reddit (e.g. "best laptops 2025", "AI news"). Each keyword runs as a separate search. Free Apify plans search the first 40 keywords per run (paid plans are unlimited) — extra keywords are skipped and noted in the run log. Leave empty if you only want to scrape Direct URLs below.

Type:array

Default:

[]

Search for posts

searchPosts

Optional

Include posts in keyword search results.

Type:boolean

Default:true

Search for comments

searchComments

Optional

Include comments in keyword search results.

Type:boolean

Default:false

Search for communities

searchCommunities

Optional

Include communities (subreddits) in keyword search results.

Type:boolean

Default:false

Limit search to ONE community

withinCommunity

Optional

Restrict keyword search to a single subreddit. Accepts a bare name (developers), r/developers, or a full subreddit URL. Leave empty to search all of Reddit. Only applies to Search Keywords.

Type:string

Default:

Sort search results by

searchSort

Optional

Controls how keyword search results are ranked. Only applies to Search Keywords, not Direct URLs.

Type:string

Default:new

Options:

relevancehottopnewcomments

Time range

searchTime

Optional

Limit keyword search results to posts from a specific time window. Only applies to Search Keywords.

Type:string

Default:all

Options:

allhourdayweekmonthyear

Reddit URLs — posts, comments, profiles, or search pages

startUrls

Optional

Add one or more Reddit URLs to scrape directly. Supports post URLs, subreddit URLs, user profile URLs, and search page URLs. The Search Keywords options above (sort, time, community filter) do NOT apply to these URLs.

Type:array

Default:

[]

Fast mode for search page URLs (turning off needs 2048 MB)

fastMode

Optional

Speeds up scraping of search page URLs at the cost of some accuracy — some posts may be missed. Disable if you need exact results matching what you see on Reddit. Search Keywords always use fast mode automatically.

Type:boolean

Default:true

Subreddits — names or community links only (not post links)

subredditUrls

Optional

Subreddits to scrape in full. Enter subreddit names or links — e.g. AskReddit, r/AskReddit, or https://www.reddit.com/r/AskReddit/. This collects far more posts per subreddit than a standard scrape. It uses more requests, so runs take longer and cost more. Comments are also collected when 'Scrape comments for each post' is enabled — increase Max posts to allow more results per subreddit.

Type:array

Default:

[]

Posts created on or after (YYYY-MM-DD)

postedAfter

Optional

Only keep posts created on or after this date (interpreted as 00:00 UTC). When set, results are fetched newest-first (sort=new) and the search Time range is ignored. Reddit caps each listing at ~1,000 posts, so a window behind a very high-volume query may be only partly reachable. Applies to Search Keywords, subreddit URLs, the Full Subreddit Scrape, and user profiles.

Type:string

Posts created on or before (YYYY-MM-DD)

postedBefore

Optional

Only keep posts created on or before this date (interpreted as the end of that day, 23:59:59 UTC).

Type:string

Comments created on or after (YYYY-MM-DD)

commentedAfter

Optional

Only keep comments created on or after this date (UTC). Applies when comments are collected (comment search, or 'Scrape comments for each post').

Type:string

Comments created on or before (YYYY-MM-DD)

commentedBefore

Optional

Only keep comments created on or before this date (UTC).

Type:string

Only posts that have a flair

onlyWithFlair

Optional

When enabled, drop posts with no flair and keep only those that have a flair assigned. Applies to Search Keywords, subreddit URLs, the Full Subreddit Scrape, and user profiles.

Type:boolean

Default:false

Scrape comments for each post (slower, much more data)

crawlCommentsPerPost

Optional

When enabled, comments will be collected for every post found from both Search Keywords and Direct URLs. This significantly increases run time and data output.

Type:boolean

Default:false

Include NSFW (18+) content

includeNSFW

Optional

Include posts marked as Not Safe For Work in results. Applies to both Search Keywords and Direct URLs.

Type:boolean

Default:false

Max posts (total across all inputs)

maxPostsCount

Optional

Maximum number of posts to save across all search results, subreddit pages, and user profiles. To pull an entire subreddit, use the Full Subreddit Scrape input and raise this limit. Max: 50000.

Type:integer

Minimum:0

Maximum:50000

Default:25

Max search comments (keyword search only)

maxCommentsCount

Optional

Maximum comments returned per search keyword (when 'Search for comments' is enabled). Does not affect per-post comment scraping.

Type:integer

Minimum:0

Default:200

Max comments per post

maxCommentsPerPost

Optional

Maximum comments to scrape per individual post (when 'Scrape comments for each post' is enabled).

Type:integer

Minimum:0

Default:100

Max communities

maxCommunitiesCount

Optional

Maximum communities returned from keyword search (when 'Search for communities' is enabled).

Type:integer

Minimum:0

Default:2

Enable AI analysis — billed once per result

aiAnalysis

Optional

Adds AI-judged fields to posts and comments: sentimentLabel (positive / negative / neutral / mixed / uncertain), sentimentScore (-1 to 1), intent (question, seeking_recommendation, complaint, praise, purchase_intent, comparison, announcement, self_promotion, discussion), emotion (joy, excitement, anger, frustration, sadness, disappointment, fear, surprise, neutral), entities (brands, products and companies mentioned), and — for keyword-search results — relevanceScore (0 to 1). Posts also receive a contentCategory. The model understands Reddit slang and sarcasm; bot and moderator boilerplate is labelled uncertain free of charge. Each analyzed result is billed once as an analyzed_item event — see the Pricing tab. Requires a paid Apify plan and is ignored on free plans.

Type:boolean

Default:false

Custom AI labels — billed per label per result

customLabels

Optional

Define your own labels as {"label_name": "plain-language instruction"} and the AI evaluates each one on every analyzed post and comment, returning them under customLabels on each result. Example: {"mentions_pricing": "true if the text complains about pricing or cost", "competitor": "name the competing product mentioned, or none"}. Up to 5 labels; names must be short identifiers (letters, digits, underscore). Each label evaluated on each result is billed as one custom_label event — 3 labels on 1,000 results = 3,000 events. An evaluation that finds nothing (an empty/null answer, when your instruction allows it) is still an evaluation and is charged; nothing is charged for results the AI could not process. Paid add-on: requires a paid Apify plan; ignored on free plans.

Type:object

Default:

{}

Send results to an app (MCP connector)

mcpConnector

Optional

Pick an authorized MCP connector (Slack, Notion, GitHub, Airtable, Supabase, …) to receive the scraped posts. This is the recommended, secure path — your credentials stay in Apify and are never exposed to this actor (Apify's proxy injects them). Leave empty to scrape only. Create connectors under Settings → API & Integrations → MCP connectors, or inline here.

Type:string

Delivery mode

mcpMode

Optional

perPost: send one message/record per scraped post. summary: send a single digest of the whole run.

Type:string

Default:perPost

Options:

perPostsummary

Target page / database / repo

mcpTarget

Optional

Where to write — the destination ID the tool needs: a Notion database/page ID, a Google Sheet ID, a Slack channel, or owner/repo. Leave blank for connectors that post to a default location. Advanced shapes go in Arguments JSON below.

Type:string

How to deliver comments

mcpComments

Optional

When 'Scrape comments for each post' is on, choose how comments reach your app. Ignore: send posts only (comments still saved to the dataset). Bundle: attach each post's top comments inside its message. Separate: send each top comment as its own message/record.

Type:string

Default:ignore

Options:

ignorebundleseparate

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