Reddit Comment Search Scraper 🔎💬

Fetch Reddit comments in two powerful ways with clean, production‑ready JSON output:

• Post by URL: Get the comments for a specific Reddit post.
• Subreddit comments stream: Pull the latest comments from a subreddit with optional cursor‑based pagination.

Built for Apify. Fast. Reliable. Clean data.

Highlights ✨

• Two modes: post_by_url and subreddit_comments.
• Cursor pagination (optional): Only for the subreddit_comments mode.
• Apify‑native: Output goes straight to your dataset.

Inputs ⚙️

Key	Type	Editor	Default	Notes
mode	string	select	post_by_url	Choose: post_by_url or subreddit_comments.
url	string	textfield	https://www.reddit.com/r/funny/comments/1nvwccn/	Required when mode = post_by_url. The Reddit post URL.
subreddit	string	textfield	funny	Required when mode = subreddit_comments. The subreddit name (without r/).
cursor	string	textfield	—	Optional and only used for subreddit_comments. Enter the current cursor (e.g., t3_1btflsp) to load the next page.

Quick start 🚀

A) Fetch comments for a post by URL

{
  "mode": "post_by_url",
  "url": "https://www.reddit.com/r/funny/comments/1nvwccn/"
}

B) Fetch latest subreddit comments (with optional pagination)

{
  "mode": "subreddit_comments",
  "subreddit": "funny"
}

Pagination (subreddit comments) ⏭️

• Only for https://reddit3.p.rapidapi.com/v1/reddit/subreddit/comments.
• Run once without cursor to get the first page.
• In the dataset output, check payload.meta.cursor or the top‑level returned_cursor.
• Copy that value (e.g., t3_1btflsp).
• Paste it into the cursor input and run again to get the next page.

Example next‑page input:

{
  "mode": "subreddit_comments",
  "subreddit": "funny",
  "cursor": "t3_1btflsp"
}

Output format 📦

• Records are pushed to the default Apify dataset.
• The actor also returns returned_cursor (if provided by the API) to make pagination easy.

Example (truncated):

{
  "mode": "subreddit_comments",
  "url": null,
  "subreddit": "funny",
  "cursor_used": null,
  "returned_cursor": "t1_nkxfgby",
  "fetched_at": "2025-01-01T10:00:00.000Z",
  "payload": {
    "meta": {
      "version": "v1.0",
      "status": 200,
      "subreddit": "funny",
      "cursor": "t1_nkxfgby"
    },
    "body": [
      { "id": "...", "body": "..." }
    ]
  }
}

Best practices 💡

• Pick the right mode: Use post_by_url for a specific thread, subreddit_comments for firehose‑style recent comments.
• Paginate thoughtfully: For subreddit_comments, use the returned cursor to continue where you left off.
• Resilience: Some fields may be null or omitted; handle them gracefully.
• Automation: Schedule runs and export JSON/CSV for downstream pipelines.

FAQ ❓

• Which modes are supported? post_by_url, subreddit_comments.
• When can I use cursor? Only with subreddit_comments.
• Where do I find the next cursor? In the dataset output: payload.meta.cursor and returned_cursor.
• Do I need to log in? No.
• Where is the data stored? In the default Apify dataset of the run.

Troubleshooting 🛠️

• Empty or missing fields: The source can omit fields. Always check for null/undefined.
• Pagination returns same data: Ensure you placed the latest cursor value into the input.
• Rate limits: If you run many times quickly, consider spacing runs.

Keywords 🔍

Reddit comment search, Reddit comment scraper, subreddit comments, reddit comment search by user, Reddit thread comments, Reddit comment API alternative, Apify Reddit scraper, reddit comment search history, reddit comment search by subreddit, Reddit Search Tool, Search Reddit user comments, Reddit comment search by date, Reddit comment search app, reddit comment viewer, deleted reddit comment viewer,clean JSON, no login, dataset export, automation, ETL, data pipeline

Hashtags 📣

#Reddit #Comments #Scraper #Subreddit #Apify #Pagination #Cursor #DataExtraction #NoLogin #JSON