logo
languageENdown
menu
Template GalleryTemplate Details
This template is under maintenance.
This template is undergoing maintenance for improvements. Please come back later or try a similar template instead.
Notify me when ready

Reddit Search Scraper

Social MediaMCP
Scrape post title, comment count, author, etc from Reddit by keyword(s).
Standard
Access Level
Run Mode
$0.05/1000 lines
Cost of Usage
2026/09/17
Last updated
Try it!

๐Ÿ“Œ How can you extract Reddit search results by keyword, sort order, and date range?

This template collects the input keyword, selected sort and date range, current result URL, subreddit, post title, author, post time and datetime, upvote count, comment count, and post URL. It is useful for social listening analysts, market researchers, and community intelligence teams.

Data is collected from Old Reddit Search. Reddit search finds posts across communities and can order results by relevance, recency, popularity, or comments.


๐Ÿ’ฐ Pricing

Current price: $0.05/1,000 lines. Billing is based on the number of output lines produced by the task.


๐Ÿ“ฆ Output

Reddit Search Scraper returns these fields:

  • msg_type
  • content
  • Input_keyword
  • Input_sorted_by
  • Input_date_range
  • Current_URL
  • Subreddit
  • Title
  • Author
  • Post_time
  • Datetime
  • Upvotes_count
  • Comment_count
  • Post_URL
{
  "msg_type": null,
  "content": null,
  "Input_keyword": null,
  "Input_sorted_by": null,
  "Input_date_range": null,
  "Current_URL": null,
  "Subreddit": "r/webscraping",
  "Title": "Octoparse is a scam",
  "Author": "canigetahoyahhh",
  "Post_time": "2022-11-03 13:30:57",
  "Datetime": null,
  "Upvotes_count": null,
  "Comment_count": null,
  "Post_URL": "https://old.reddit.com/r/webscraping/comments/yl2xt5/octoparse_is_a_scam/"
}

๐ŸŽฏ Use Cases

  • Monitor brand or topic mentions using keywords, titles, and post URLs.
  • Compare engagement using upvote and comment counts.
  • Segment conversations by subreddit.
  • Analyze discussion timing using post time, datetime, and date-range filters.

๐Ÿ™ Why Octoparse

  • Built for Old Reddit Search: The Python automation submits each search term to Old Reddit with the selected sort and date range, paginates through the configured number of result pages, parses each post card, and uploads structured search-result rows.
  • Inputs match the workflow: The form uses Search Term (up to 100,000 entries), Sorted by, and Date range.
  • Fields stay connected: Reddit Search Scraper returns Title, Current_URL, Comment_count, Input_date_range, and content in the same structured dataset.
  • Ready for repeat use: After Reddit Search Scraper runs in the cloud, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.

๐Ÿ“ Input

Complete the following fields:

  • Search Term (Required) โ€” Search Term. Up to 100,000 entries per run.
  • Sorted by (Optional) โ€” Sorted by.
  • Date range (Optional) โ€” Date range.
  • Pagination (Optional) โ€” Set the number of search result pages to collect. Accepted range: 1 to 10.

๐Ÿš€ How to Use

  1. Open Reddit Search Scraper and click Try it!.
  2. Complete Search Term, Sorted by, and Date range using the formats and limits shown in the Input section.
  3. Run it in the Octoparse cloud and start the task.
  4. Review fields such as Title, Current_URL, and Comment_count, then export the rows in the format you need.

๐Ÿ’ก Tips

  • Start with a focused Search Term so the first run is easy to review before widening the search.
  • Keep Input_keyword in the export so every row can be traced to its originating input or page.

โ“ FAQ

How many entries can Reddit Search Scraper accept in Search Term per run?

Enter up to 100,000 values in Search Term per run.

Which Old Reddit Search pages does Reddit Search Scraper process?

The workflow is configured for search-result pages and returns fields such as Title, Current_URL, Comment_count, and Input_date_range.

What can I use data from Reddit Search Scraper for?

Monitor brand or topic mentions using keywords, titles, and post URLs.


Share