💬 Stack Exchange Q&A Scraper

🚀 Pull questions and answers from Stack Overflow and the Stack Exchange network. Scores, view counts, owners, body text, accepted answers. No API key required.

The Stack Exchange Q&A Scraper queries the public Stack Exchange API v2.3 with the withbody filter and returns questions plus their answers in a single dataset row. Each record includes the question ID, title, body in HTML and Markdown, tags, score, view count, answer count, accepted-answer flag, owner profile, creation and last-activity timestamps, link, and an embedded answers[] array.

Stack Overflow alone hosts 24 million questions and 35 million answers. The Stack Exchange network adds 170+ specialized sites covering math, security, gaming, writing, DevOps, and more. This Actor lets you pull structured Q&A by site, tag, search query, sort, or date range without writing a single API call.

🎯 Target Audience	💡 Primary Use Cases
ML engineers, developer relations, technical writers, dev tool builders	Training data builds, support automation, content research, dev intel

📋 What the Stack Exchange Q&A Scraper does

Five filtering workflows in a single run:

• 🌐 Site selector. Pick from a 30+ enum covering Stack Overflow, Server Fault, Super User, AskUbuntu, math, stats, and more.
• 🏷️ Tag filter. Restrict to a specific tag like python, react, kubernetes.
• 🔍 Search query. Free-text search switches to /search/advanced.
• 📊 Sort. Activity, votes, creation, hot, week, or month.
• 📅 Date range. ISO fromDate and toDate map to Unix timestamps.

Each row reports the question ID, title, link, tags, score, view count, answer count, isAnswered flag, owner profile (display name, reputation, user ID, profile image), creation and last-activity timestamps, body Markdown, body HTML, accepted-answer ID, and an answers[] array with full answer bodies.

💡 Why it matters: Stack Exchange Q&A is one of the highest-quality public corpora for technical content. ML engineers train rerankers on it. Dev tool teams build retrieval pipelines from it. Content writers mine it for FAQ inspiration. The official API is unauthenticated up to 300 requests per day per IP, plenty for most workflows.

📊 Data fields

Each record includes: acceptedAnswerId, answerCount, body, bodyMarkdown, creationDate, isAnswered, lastActivityDate, link, questionId, score, scrapedAt, title, viewCount. 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

1. 🆓 Create a free Apify account. Sign up here and get $5 in free credit.
2. 🔍 Open the Actor. Search for "Stack Exchange" in the Apify Store.
3. ⚙️ Set filters. Site, optional tag or search query, sort, date range.
4. ▶️ Click Start. A 100-question run typically completes in 10 to 20 seconds.
5. 📥 Download. Export as CSV, Excel, JSON, or XML.

⏱️ Total time from sign-up to first dataset: under five minutes.

🔗 Recommended Actors

• 🐙 GitHub Trending Repos Scraper - track developer attention next to Q&A activity.
• 🧩 Chrome Web Store Scraper - extension data alongside developer Q&A trends.
• 🅱️ Bing Search Scraper - run open-web searches on the technologies you find.
• 🦆 DuckDuckGo Search Scraper - alternative SERP signal alongside Q&A.
• 📚 Wikipedia Pageviews Scraper - cross-reference tag spikes with public-interest data.

💡 Pro Tip: browse the complete ParseForge collection for more pre-built scrapers and data tools.

Stack Overflow and Stack Exchange are registered trademarks of Stack Exchange, Inc. This Actor is not affiliated with or endorsed by Stack Exchange. It uses the public Stack Exchange API specifically published for programmatic access. Content is CC-licensed; attribute with a link back per Stack Exchange terms.

🆘 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.

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