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SKILL FILE

Scrape Lobsters with AI

Extract Lobste.rs stories, comments, tags, and user data using Apify scrapers and Claude Code.

50K+ Lobsters users or records
1,500 items scraped per minute
$0.10 per 1,000 stories
Download Skill File ↓
CROSS-DEPARTMENT FLOW

How scraped Lobsters data flows across your company

One scrape generates intelligence for every department — automatically

Scrape Lobsters Lobste.rs stories, comments, tags, and user data
1 Configure Targets
2 Apify Actor Runs
3 Data Processed
4 Stored in CRM
Sales
  • → Identify prospects from scraped data
  • → Track competitor activity
  • → Source outreach targets
  • → Build lead lists
Marketing
  • → Content research and ideation
  • → Competitor strategy analysis
  • → Trend monitoring
  • → Audience insights
Growth
  • → Market sizing and analysis
  • → Engagement benchmarking
  • → Growth opportunity identification
  • → Platform trend tracking
CRM
  • → Data records stored
  • → Engagement metrics indexed
  • → Source attribution tagged
  • → Historical data tracked
Lead List
Research Report
Trend Analysis
Market Report
Events Tracked
Lobsters data collected
Patterns identified
Benchmarks established
Replaces Custom monitoring
$10/mo $0.50/mo
$114/yr saved
Scrape Lobsters Lobste.rs stories, comments, tags, and user data
1
Configure Targets Lobsters URLs, keywords, or filters defined
2
Apify Actor Runs Scraper extracts data — $0.10/1,000 stories
3
Data Processed Records cleaned, scored, and categorized
4
Stored in CRM Intelligence pushed to Neon database with attribution
Sales
  • → Identify prospects from scraped data
  • → Track competitor activity
  • → Source outreach targets
  • → Build lead lists
Marketing
  • → Content research and ideation
  • → Competitor strategy analysis
  • → Trend monitoring
  • → Audience insights
Growth
  • → Market sizing and analysis
  • → Engagement benchmarking
  • → Growth opportunity identification
  • → Platform trend tracking
CRM
  • → Data records stored
  • → Engagement metrics indexed
  • → Source attribution tagged
  • → Historical data tracked
Content Outputs
Research Report from marketing
Lead List from sales
Trend Analysis from marketing
Market Report from growth
Everything Tracked
Lobsters data collected
Patterns identified
Benchmarks established
Replaces Custom monitoring
$10/mo → $0.50/mo
$114/yr saved
REPLACES

Cancel your Custom monitoring subscription

CANCEL THIS

Custom monitoring

$10/mo
  • × Subscription fees
  • × Data locked in their dashboard
  • × Per-seat pricing
  • × Export limits
vs
BUILD THIS

SoloStack + Claude Code

$0.50/mo
  • ✓ Pay-per-use, no subscription
  • ✓ Your data in your repo
  • ✓ Zero vendor lock-in
  • ✓ Unlimited exports
Save $114/year
WHAT YOU GET

What this skill file teaches Claude

Drop one markdown file into your repo. Claude Code learns how to run this entire workflow.

1

Data Extraction

Pull key data points from Lobsters including profiles, content, and metadata.

2

Search & Filter

Search by keywords, categories, or specific URLs to target exactly what you need.

3

Engagement Metrics

Capture engagement signals — views, likes, shares, and comments for every item.

4

Bulk Processing

Process hundreds or thousands of records in a single run with automatic pagination.

5

Export & Integration

Output clean JSON ready for CRM import, analysis, or integration with other tools.

Apify Actor: epctex/lobsters-scraper · ~$0.10 per 1,000 stories
IN ACTION

Build it with plain English

Tell Claude Code what to do. It handles the rest.

claude — solostack/
you: | 
Processing Lobsters data...

✓ Data extracted successfully
✓ 234 records collected
✓ Cleaned and deduplicated
✓ Ready for CRM import

Data saved to scrape-lobsters-results.json
you: | 
Processing Lobsters data...

✓ Data extracted successfully
✓ 567 records collected
✓ Cleaned and deduplicated
✓ Ready for CRM import

Data saved to scrape-lobsters-results.json
you: | 
Processing Lobsters data...

✓ Data extracted successfully
✓ 89 records collected
✓ Cleaned and deduplicated
✓ Ready for CRM import

Data saved to scrape-lobsters-results.json
USE CASES

What you can build with this

Senior developer sentiment

Lobsters has a higher bar for membership than HN. Opinions here represent experienced developers — valuable for product decisions.

Technology trend tracking

Lobsters tags are curated and precise. Track tag volume over time for clean technology trend signals.

Content distribution research

Find which content formats and topics get the most votes on Lobsters to optimize your developer marketing.

Community voice mining

Extract comments from prolific Lobsters users for quotes, insights, and developer sentiment analysis.

IMPORTANT

Things to know

!

Lobsters is a small, invite-only community. Aggressive scraping may be noticed and blocked.

!

The community values privacy. Do not use scraped data for direct outreach to members.

!

Lobsters has an RSS feed — use it for basic monitoring before resorting to scraping.

COMPLETE SKILL FILE

Get the full skill file

Everything above is 80% of the skill file. Download the complete version with full implementation details, agent prompts, and ready-to-run scripts.

FAQ

Common questions

Scraping publicly available data from Lobsters is a gray area. Most courts have upheld that public data can be accessed for research purposes. Always respect the platform's ToS, use data for internal research only, and comply with GDPR/CCPA when handling personal information.
For trend monitoring, weekly scrapes capture meaningful changes. For competitive analysis, bi-weekly to monthly is sufficient. The optimal frequency depends on how quickly data changes on the platform.
The Apify actor uses residential proxies and request throttling to minimize blocks. If you experience issues, reduce request volume, increase delays between requests, and consider running scrapes during off-peak hours.
Yes. The output is clean JSON that can be directly imported into Neon (Postgres), Airtable, or any CRM with an API. Use the TypeScript integration code in the skill file to automate the pipeline.
Apify charges ~$0.10 per 1,000 stories. A typical research run costs $1-5 depending on volume. Compare that to SaaS alternatives at $10/mo — you save $114/yr saved.
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