Reddit Comments Scraper — Discussion Replies and Thread Data

Export public comments and replies from Reddit post URLs. Collect discussion text, author names, scores, timestamps and reply relationships for research and conversation analysis.

Quick start

1. Open an example below or enter your own public Reddit targets.
2. Choose a per-target result limit and maxItems for the whole run.
3. Run the Actor and export the dataset as JSON, CSV or Excel.

{
  "postUrls": [
    "https://www.reddit.com/r/AskReddit/comments/1x3uinu/"
  ],
  "maxComments": 20,
  "maxItems": 21
}

Example tasks

Copy a ready-to-use configuration and customize its targets or limits:

• Export an AskReddit conversation with its post
• Collect Reddit comments for text analysis
• Sample five replies from a Reddit discussion
• Collect a larger Reddit discussion research sample
• Collect Reddit comments after a chosen date
• Prepare Reddit replies for an AI summary

Inputs

Input	Type	Purpose
postUrls	array	List of Reddit post URLs to scrape comments from, e.g. https://www.reddit.com/r/python/comments/abc123/title/
maxComments	integer	Maximum number of comments to fetch for each post URL.
commentDateLimit	string	Only include comments posted on or after this date (format: YYYY-MM-DD). Leave empty to disable.
skipPostData	boolean	If enabled, the post itself is not included in the output — only its comments.
maxItems	integer	Maximum total dataset rows across all inputs, including any profile, community or original-post rows.

Output fields

Field	Description
id / parsedId	Reddit's internal comment ID
postUrl	URL of the parent post
postTitle	Title of the parent post
parentId	ID of the parent comment (or post, for top-level comments)
username	Comment author
body	Full comment text
upVotes	Comment score
depth	Nesting depth in the comment tree
controversiality	Reddit's controversiality flag
isSubmitter	Whether the commenter is the original poster
isStickied	Whether the comment is pinned
isScoreHidden	Whether the score is hidden by Reddit
isLocked	Whether the comment thread is locked
distinguished	Moderator/admin distinguished status
authorFlair	Commenter's subreddit flair
communityName	Subreddit the comment belongs to
url	Direct permalink to the comment
createdAt	Comment creation timestamp (ISO format)
scrapedAt	Time the data was scraped
numberOfreplies	Number of direct replies to this comment
dataType	post or comment

Optional fields depend on the record type and what Reddit makes public. Deleted authors, unavailable media and absent profile details can have empty values. Scores and comment counts are snapshots, not permanent totals.

API, MCP and AI workflows

Use the Actor through the Apify API or select it in the Apify MCP server. An AI agent can supply the same JSON inputs shown above, then use the returned dataset for summarization, classification or research. Sentiment analysis and summaries are downstream tasks; this Actor returns source data.

Connect datasets to n8n, Make, Zapier or your own Python and JavaScript workflows. Use Apify schedules for recurring runs and webhooks to trigger processing after completion. ChatGPT, Claude and LangChain workflows can consume the exported data through their configured integrations.

Limits and frequently asked questions

Do I need a Reddit account? No Reddit login or personal Reddit API key is required. Apify API calls require your own Apify token.

How many results can I collect? The free allowance is 25 dataset rows. Paid runs honor your input and platform result limits, with a 100,000-row dataset ceiling. Per-target limits do not override the total cap. Set your Apify run timeout and budget to suit the job.

Does a requested maximum guarantee that many rows? No. Public availability, source pagination, filtering, duplicate removal and deleted content can reduce the count. This is not a complete historical archive.

Are results unique? IDs are deduplicated across the inputs in a run. Separate new runs can return the same records; use their IDs when maintaining a historical database.

Can bulk runs continue while producing results? Yes. There is no fixed internal runtime, request-count or page-count cutoff. Requested result limits still apply. Repeated failures, unavailable data or pagination without progress stop collection while preserving confirmed results.

What does resume mean? Saved checkpoints support continuation of the same run. Starting a fresh run creates a new dataset and does not automatically resume an older run.

What is the price? Check the current Pricing tab on this Actor. Your plan, result allowance and run budget determine which limits apply.