Slashdot Scraper | Tech News and Comments
Pricing
from $19.00 / 1,000 results
Slashdot Scraper | Tech News and Comments
Scrape tech stories from Slashdot including titles, summaries, departments, authors, comment counts, tags and timestamps. Build datasets of technology news and community discussion for trend analysis, content curation and media research at scale across the full catalog
Pricing
from $19.00 / 1,000 results
Rating
0.0
(0)
Developer
ParseForge
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
1
Monthly active users
7 days ago
Last modified
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📰 Slashdot Scraper
🚀 Export Slashdot tech news stories to CSV, JSON, or Excel in seconds. No login required. No API key needed.
The Slashdot Scraper extracts tech news stories from Slashdot.org via its live RSS feed. Slashdot has been the internet's premier tech news aggregator since 1997 - covering everything from open source and Linux to AI, hardware, science, and government policy. This actor gives you structured, clean access to that stream of curated tech stories with full metadata.
Each record includes the story title, URL, clean summary text, author, department label, topic category, comment count, publication timestamp, and a topic image URL. The feed is updated in real time as new stories are posted. Coverage spans all 11 major Slashdot sections including Technology, Science, Linux, Games, Hardware, Developers, and Your Rights Online (YRO).
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Researchers | Track tech news trends over time |
| Content teams | Monitor what topics drive community engagement |
| Data scientists | Analyze discourse patterns on tech stories |
| Developers | Build news aggregation apps and dashboards |
| Journalists | Track breaking tech and policy stories |
| Marketers | Identify trending tech topics for content strategy |
📋 What the Slashdot Scraper does
- Fetches live stories from any of 11 Slashdot sections via RSS feed
- Extracts clean story summaries with all HTML and share widgets stripped out
- Captures author, topic, department, comment count, and publication date
- Respects maxItems limit to prevent runaway data collection
- Delivers results in seconds - no browser required, no login needed
💡 Why it matters: Slashdot is one of the internet's oldest and most engaged tech communities. Its editors curate stories for technical depth and community interest, making it a high-signal source for tech sentiment analysis, topic modeling, and trend detection. Comment counts reflect real community engagement that other news aggregators don't surface.
📊 Data fields
Each record includes: author, commentCount, department, publishedAt, results, scrapedAt, summary, title, topic, url. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.
🚀 How to use
- Create a free Apify account w/ $5 credit
- Open the Slashdot Scraper actor page
- Choose a section (or leave as "main" for all stories)
- Set maxItems (10 for preview, up to 1,000,000 for paid plans)
- Click "Start" and download results as CSV, JSON, or Excel
🔗 Recommended Actors
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💡 Pro Tip: browse the complete ParseForge collection to find scrapers for hundreds of websites.
⚠️ Disclaimer: Independent tool, not affiliated with Slashdot or its parent company. Only publicly available RSS feed data from Slashdot.org is collected. Use responsibly and in accordance with Slashdot's Terms of Service.
🆘 Need Help?
If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.
For faster answers, join our Discord. It's the best place to get support and suggest new actors.
