Pricing

from $1.00 / 1,000 results

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Indie Hackers Scraper - Community Posts & Discussions

Try for free

Extract posts and discussions from the Indie Hackers community. Filter by post type, search term, minimum upvotes and result count. Returns title, author, upvotes, comment count, tags, creation date and post URL for founder research, content curation and bootstrapping trend analysis.

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

Ryan Zinburg

Actor stats

Bookmarked

Total users

Monthly active users

10 days ago

Last modified

What you get per post

Field	Example
`title`	How we got to $10k MRR without ads
`author`	the posting account
`upvotes`	142
`commentsCount`	38
`tags`	["Growth", "Marketing"]
`createdAt`	publication timestamp
`url`	link to the post

type - which feed to read, for example posts
searchQuery - free text across post titles
minUpvotes - keep only posts above a popularity threshold
maxItems - how many posts to save

Example input

{
  "type": "posts",
  "searchQuery": "pricing",
  "minUpvotes": 20,
  "maxItems": 100
}

Use cases

Founder and market research - see which problems bootstrapped founders raise most often
Content curation - build a newsletter or digest from the highest-signal discussions
Product discovery - find recurring complaints about tools in your category
Community trend analysis - track how topics such as pricing, churn or AI move through the community over time
Audience research - study the language indie founders use before writing marketing copy for them
Competitive listening - catch mentions of a product or category in founder discussions

Why Indie Hackers

Indie Hackers is one of the few places where small software businesses discuss revenue, pricing and churn openly rather than through a PR filter. For anyone selling to or building alongside bootstrapped founders, it is a more candid signal than press coverage or funding news.

Notes

This actor exports community posts and their engagement metrics. Product revenue pages and founder interview transcripts are a different part of the site and are not included; revenue figures appear only when a poster wrote them into a title or body.
upvotes and commentsCount are snapshots at scraping time, so repeated runs let you watch a post gain traction.
Tags are author-chosen and therefore inconsistent; treat them as hints, not a taxonomy.

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