Lobsters Scraper — Tech Stories & Tags avatar

Lobsters Scraper — Tech Stories & Tags

Pricing

from $0.00075 / story scraped

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Lobsters Scraper — Tech Stories & Tags

Lobsters Scraper — Tech Stories & Tags

Scrape stories from Lobsters (lobste.rs): title, link, score, comments, submitter, tags and description. Pull the Hottest or Newest feed, or filter by tag. One clean row per story as JSON, CSV or Excel.

Pricing

from $0.00075 / story scraped

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0.0

(0)

Developer

hiper soft

hiper soft

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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Scrape stories from Lobsters (lobste.rs), the computing-focused link-aggregation community, as clean, structured data. Pull the Hottest or Newest feed, or filter by tag — and get one row per story with title, link, score, comment count, submitter, tags and description. Export to JSON, CSV or Excel, or pull straight from the API.

Perfect for tech news monitoring, trend and topic tracking, content curation, developer research, and building link datasets for dashboards or LLMs.


What you get

One flat, ready-to-use record per story:

FieldDescription
shortIdLobsters story ID
titleStory title
urlThe linked article
lobstersUrl / commentsUrlLobsters page and comments
scoreStory score / upvotes
commentCountNumber of comments
submitterWho submitted it
tagsStory tags
descriptionSubmitter's description (plain text)
createdAtWhen it was posted (ISO 8601)
sourceFeed or tag it came from
collectedAtWhen the row was scraped

How to use

{
"feed": "hottest",
"tags": ["rust", "security"],
"maxItems": 200
}
  • Feed — Hottest or Newest (used when no tags are set).
  • Tags — filter by one or more Lobsters tags (e.g. programming, ai, security).
  • Max stories — cap the total (0 = no limit; the scraper pages through the feed).

Example output

{
"shortId": "abc123",
"title": "Thoughts on the Future of Browsers",
"url": "https://example.com/browsers",
"lobstersUrl": "https://lobste.rs/s/abc123",
"score": 46,
"commentCount": 20,
"submitter": "orib",
"tags": ["browsers"],
"createdAt": "2026-09-20T14:00:00.000-05:00",
"collectedAt": "2026-09-20T16:40:00.000Z"
}

Common use cases

  • Tech news monitoring — track what's trending in computing and security.
  • Topic & tag tracking — follow specific tags over time.
  • Content curation — build clean digests of the best stories.
  • Developer research — mine links, discussions and scores.
  • Datasets — build structured link datasets for analysis or model training.

Frequently asked questions

Do I need any login, account or key? No. Just pick a feed or tags and run.

Can I filter by topic? Yes — add Lobsters tags like rust, programming or security.

How many stories can I get? Set Max stories to whatever you need (0 = no limit) — the scraper pages through the feed.

What format is the data? A flat table you can export as JSON, CSV or Excel, or fetch from the Apify API.


Building a tech-content toolkit? Pair this with our Hacker News scraper and DEV.to scraper — all with the same clean, one-row-per-item output.