Reddit Comments Search Scraper

🔎 Find useful Reddit comments

Reddit Comments Search Scraper helps researchers, marketers, and product teams search public Reddit comments by keyword or phrase. Each saved row has the comment text, author, score, publish time, link, subreddit name, and post details, so you can see what people say and where they said it. No Reddit login is needed.

Common ways to use it:

• Find public comments that mention a brand or product with Reddit Brand Mention Monitoring.
• Export comment text and scores for sentiment work with Reddit Sentiment Analysis.
• Find problems people share in relevant subreddits with Reddit Customer Pain Point Research.
• Search comments for requests and product ideas with Reddit Feature Request Research.
• Track comments that name a competitor with Reddit Competitor Mention Tracking.
• Find recent comments about a topic or event with Reddit Trend Monitoring.
• Find what people recommend for a product with Reddit Product Recommendations.
• Find questions and topics people discuss to plan content with Reddit Content Ideas.

📦 What each saved comment includes

Each dataset row is one public Reddit comment. It includes the comment, its subreddit, the post it belongs to, and the keyword that found it. The full field list is in the Output section.

When the same comment is found more than once, the first eligible match is saved and later matches are skipped.

Some fields can be null when Reddit does not show the value. The Actor saves the public source data as shown and does not fill in missing facts.

🚀 Run a Reddit comment search

1. Open the Input tab.
2. Enter one or more keywords or phrases in Keywords or phrases.
3. Optional: add subreddit names such as ChatGPT or r/LocalLLaMA in Subreddits.
4. Set Maximum comments, Freshness window (days), Sort, and Safe search as needed.
5. Start the Actor and open the dataset.

The Actor needs no Reddit login, cookies, or user-provided Reddit API key. It searches public results only.

⚙️ Input

Input example

This example uses the default settings.

{
  "queries": [
    "openai"
  ],
  "subreddits": [
    "ChatGPT"
  ],
  "maxDaysOld": 1,
  "safeSearch": false,
  "sort": "new",
  "maxComments": 25
}

Input fields

Field	Type	What it does
queries	array of strings	Required. One or more keywords or phrases to find in public Reddit comments. Every keyword uses the same settings.
subreddits	array of strings	Limits the search to these subreddit names, such as ChatGPT. Leave empty to search across Reddit. If you leave the field out, the Actor searches only ChatGPT.
postUrl	string	Keeps only comments under one Reddit post. Paste the full post link from reddit.com. Leave empty to search every post. The subreddit list still applies, so clear it if the post is in another community.
author	string	Keeps only comments written by one Reddit user. Enter the username without u/. Leave empty to include every user.
maxDaysOld	integer	Keeps comments posted within this many days before the run starts. For example, 1 keeps the last 24 hours. Set to 0 to turn off the age filter.
safeSearch	boolean	Asks Reddit to filter out mature (not safe for work) results where Reddit supports this filter.
sort	string	Sets the order of Reddit search results: new (Newest), relevance (Relevance), or top (Top).
maxComments	integer	Sets the most matching comments to save in this run. Leave empty to save all available matching comments until the source is exhausted.

🧾 Output

Output fields

Each saved dataset row is one public Reddit comment. Every row has the same fields.

Field	Type	What it does
commentId	string	Reddit comment ID without the t1_ prefix.
commentUrl	string	Reddit link to the comment.
text	string	Visible comment text.
createdAt	string	Time when the comment was published, in ISO 8601 format.
authorName	string	Comment author's username.
score	integer	Visible comment score.
parentId	string or null	Parent post or comment ID, when present. It starts with t3_ for a post or t1_ for a comment.
subredditName	string	Subreddit name without the r/ prefix.
postId	string	Reddit post ID without the t3_ prefix.
postUrl	string	Reddit link to the post that contains the comment.
postTitle	string	Title of the post that contains the comment.
postCreatedAt	string	Time when the post was published, in ISO 8601 format.
postScore	integer or null	Visible post score, when available.
postCommentCount	integer or null	Visible post comment count, when available.
isPostNsfw	boolean or null	Whether the post is marked NSFW, when known.
isPostSpoiler	boolean or null	Whether the post is marked as a spoiler, when known.
searchQuery	string	Keyword or phrase that found this comment.

Output example

This is one real row from a successful run of this Actor.

{
  "commentId": "pczb4f5",
  "commentUrl": "https://www.reddit.com/r/ChatGPT/comments/1wu1w1q/q_who_should_be_held_accountable_when_the_ai/pczb4f5/",
  "text": "I'm curious if the next blog posts by OpenAI and Anthropic will use the name \"SI\" instead of AI.",
  "createdAt": "2026-09-30T11:18:45.271Z",
  "authorName": "Philipp",
  "score": 1941,
  "parentId": null,
  "subredditName": "ChatGPT",
  "postId": "1wu1w1q",
  "postUrl": "https://www.reddit.com/r/ChatGPT/comments/1wu1w1q/",
  "postTitle": "Q: Who should be held accountable when the AI agents commit a crime? | Trump: It's not AI. It's SI. We changed the name officially today",
  "postCreatedAt": "2026-09-30T10:58:33.229Z",
  "postScore": 13115,
  "postCommentCount": 4349,
  "isPostNsfw": false,
  "isPostSpoiler": false,
  "searchQuery": "openai"
}

It does not collect full threads, private content, deleted content, standalone posts, communities, or user profiles.

💳 Pricing

This Actor uses pay-per-event pricing. You are charged for each comment saved to the dataset. Empty searches and comments that are not saved do not create this charge. Use maxComments to control the most rows the run can save.

🔌 Integrations

Download results as JSON, CSV, Excel, XML, RSS, or HTML. You can also use the Apify API, schedules, webhooks, and supported integrations.

❓ FAQ

Can I scrape every comment from a post URL?

No. The Actor returns only comments that match your keywords or phrases. A post link in postUrl keeps matching comments under that post. It does not return every comment in a thread.

Can I search several keywords or subreddits in one run?

Yes. Add more than one keyword or phrase in queries, and add a simple list in subreddits. Every keyword uses the same settings, and the comment limit applies to the whole run. If searches overlap, the first eligible copy of a comment is saved only once.

How exact is the freshness window?

It uses each comment's publication timestamp and an exact rolling cutoff. For example, a one-day window excludes comments older than 24 hours at the time of the run.

Does it return deleted, removed, or private comments?

No. Removed, deleted, or unreadable comments are not saved as rows. The Actor searches public results only, so private communities and content Reddit hides from the public are not included.

Does it score, label, or classify comments?

No. The score field is the visible score that Reddit shows. The Actor does not label comments by sentiment or toxicity, and it does not classify them.

Does it keep history between runs?

No. Each run stands alone. The Actor does not keep history, compare comments across runs, or track changes over time.

Why are some fields null?

Reddit does not show every value for every search result. A missing source value stays null.

Do I need a Reddit account or API key?

No. The Actor does not ask for a Reddit login, cookies, or a user-provided Reddit API key. It also cannot post, reply, vote, or moderate on Reddit.

📝 Changelog

v1.0 (18-10-2026)

• Enter one or more keywords or phrases in the new queries list. The old query input is removed.
• Leave Maximum comments empty to save all available matching comments. Version 0.0 saved up to 25 comments when this was left out.
• Filter comments to one Reddit post with the new Reddit post link input.
• Filter comments to one Reddit user with the new Reddit username input.
• If every name in Subreddits is invalid, the run now stops with a warning and saves no comments. Version 0.0 searched all of Reddit instead.
• Removed 12 output fields, such as rawCommentId, subredditUrl, and scrapedAt. The output now has 17 fields.
• The dataset overview shows Keyword instead of Search subreddit.
• Comments that Reddit shows as removed or deleted are no longer saved.
• Post score and post comment count are filled in when Reddit shows them. Version 0.0 always left them empty.
• The freshness window stays fixed for the whole run. Version 0.0 let the window move during long runs.
• A run no longer fails when one search fails and another search finishes with no matches. Version 0.0 failed that run.
• Run logs no longer show extra startup lines before the first message.
• Reliability improvements.

v0.0

• Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

🔗 Related Actors

• Reddit Historical Archive Scraper for Posts and Comments: Study older Reddit posts and comments from past date ranges.
• Reddit Scraper: Collect posts and comments together, or subreddit feeds, when you need more than comment search.
• Reddit Comments Search Scraper by easyapi: Use it for academic or content research on Reddit comments.
• Reddit Comments Search Scraper by khadinakbar: Use it to find Reddit discussions around a topic you are exploring.
• Reddit Comments Search Scraper by parsebird: Use it to trace replies, since each comment shows its parent ID and the parent post's score.

Made with ❤️ by Maxime Dupré