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Lobste.rs Tech News and Engineering Stories Radar

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$0.85 / 1,000 results

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Lobste.rs Tech News and Engineering Stories Radar

Lobste.rs Tech News and Engineering Stories Radar

Extract Lobste.rs Tech News and Engineering Stories data in clean JSON or CSV. Query by feed, maxStories for records, engagement metrics, and metadata. Export datasets, run via API or Python/Node.js SDK, schedule runs, or integrate with webhooks with zero proxy fees.

Pricing

$0.85 / 1,000 results

Rating

0.0

(0)

Developer

Darim Quraishi

Darim Quraishi

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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Extract top technology discussions, engineering stories, vote scores, comment counts, and outbound links from Lobste.rs without API keys.

Features

  • Scrapes the official Lobste.rs JSON endpoints tracking curated software engineering discussions.
  • Captures headline titles, original source links, community discussion URLs, and vote scores.
  • Collects comment thread counts, submitter usernames, and domain taxonomy tags.
  • Operates via public JSON endpoints with zero authentication tokens and zero proxy overhead.
  • Delivers clean structured records formatted for export to JSON, CSV, Excel, or technical newsletters.

Input parameters

  • Feed Selection: Choose between Hottest Stories or Newest Submissions. Default is hottest.
  • Maximum Stories: Maximum number of story records to collect, up to 50. Default is 25.

Output dataset fields

Each dataset record contains:

  • shortId: Short alphanumeric identifier (such as abc123).
  • title: Submission headline title.
  • url: External article link or primary discussion URL.
  • commentsUrl: Permanent link to the comments thread on lobste.rs.
  • score: Community net upvote score.
  • commentCount: Total replies posted to the discussion thread.
  • submitter: Username of the submitting developer.
  • tags: Array of technical classification tags (such as rust, security, or linux).
  • description: Editorial commentary or excerpt provided by the submitter.
  • createdAt: ISO formatted publication timestamp.
  • scrapedAt: UTC timestamp when the data was extracted.

Use cases

  • Developer newsletters: Curate weekly digests of deeply technical software discussions.
  • Engineering intelligence: Spot emerging compiler developments, kernel patches, and system architecture paradigms.
  • High-signal tech monitoring: Filter signal from noise by following invite-only developer community discussions.