Reddit Post Scraper

Scrape Reddit Posts and Subreddit Data to a Spreadsheet

Extract post titles, upvote scores, comment counts, authors, flair, and post URLs from any subreddit or Reddit search. Extract comment threads separately for full discussion text. No API credentials required.

Each example shows how a live website can become a reviewable dataset inside the DataLens AI scraping workbench.

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What data gets extracted

DataLens automatically detects and extracts these fields from Reddit — no selectors, no code, no maintenance.

TitleSubredditUpvotesComment CountAuthorFlairPosted DateURL

Decision-ready dataset

What teams can decide with Reddit data

Use Reddit as a live source for an AI scraping workbench: collect the fields, clean the noisy rows, and turn the result into market, lead, content, or operations evidence.

Spot patterns

Compare listings, reviews, creators, products, or posts across the fields that matter.

Prioritize action

Move from raw rows to ranked opportunities, risks, accounts, or content ideas.

Share proof

Keep the exported file and source context ready for teammates, clients, or follow-up analysis.

How it works

1
Open a subreddit feed or Reddit search results page in Chrome.
2
Launch DataLens and identify the post card fields.
3
Scroll to load more posts and export to CSV or Excel.

Frequently asked questions

Use these questions to decide how a live website becomes an AI scraping workflow.

What Reddit data can I extract?

DataLens extracts post titles, subreddit names, upvote scores, comment counts, author usernames, flair labels, posted dates, and post URLs from subreddit feeds and search results.

Can I scrape Reddit comments?

Yes. Open a Reddit post page and DataLens will detect the comment structure, extracting commenter names, text, upvotes, and nested reply data.

Do I need a Reddit API key?

No. DataLens reads the rendered Reddit page content in Chrome without requiring API credentials or OAuth setup.

Can I export Reddit data to Excel?

Yes. Export Reddit post or comment data to CSV, Excel (XLSX), or JSON for analysis, reporting, or dataset creation.

Related workbench workflows

Compare adjacent collection paths by source, export format, and team job.

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