💬 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.

🕒 Last updated: 2026-05-01 · 📊 14 fields per Q&A · 💬 30+ network sites · 🧠 24M+ questions on Stack Overflow · 🆓 public Stack Exchange API

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

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📋 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.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.

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⚙️ Input

Input	Type	Default	Behavior
maxItems	integer	10	Q&A records to return. Free plan caps at 10, paid plan at 1,000,000.
site	string	"stackoverflow"	Stack Exchange site slug from a 30+ enum.
tag	string	empty	Filter by a single tag (e.g. python).
searchQuery	string	empty	Free-text search; switches to /search/advanced.
sort	string	"activity"	activity, votes, creation, hot, week, month.
fromDate	string	empty	ISO date YYYY-MM-DD. Earliest creation date.
toDate	string	empty	ISO date YYYY-MM-DD. Latest creation date.
includeAnswers	boolean	true	When true, fetches answers per question.

Example: 100 most active Python questions on Stack Overflow.

{
    "maxItems": 100,
    "site": "stackoverflow",
    "tag": "python",
    "sort": "votes",
    "includeAnswers": true
}

Example: search for OpenAI questions on the AI Stack Exchange site.

{
    "maxItems": 50,
    "site": "ai",
    "searchQuery": "openai",
    "fromDate": "2026-01-01"
}

⚠️ Good to Know: anonymous quota is 300 requests per day per IP. With includeAnswers=true each question costs 1 + 1 calls so a 100-question run uses 200 quota. For higher volumes, register a Stack App for a 10,000/day quota or rotate proxies.

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📊 Output

Each Q&A record contains 14 fields. Download as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
🆔 questionId	integer	79934397
📰 title	string	"Can a strictly conforming definition of main..."
🔗 link	string	"https://stackoverflow.com/questions/79934397/..."
🏷️ tags	array	["c", "language-lawyer"]
👍 score	integer	12
👁️ viewCount	integer	1245
💬 answerCount	integer	3
✅ isAnswered	boolean	true
👤 owner	object	{userId, displayName, reputation, userType, profileImage, link}
📅 creationDate	ISO 8601	"2026-04-22T14:33:08Z"
📅 lastActivityDate	ISO 8601	"2026-04-29T19:11:14Z"
📝 bodyMarkdown	string | null	Markdown-formatted body
🔠 body	string | null	HTML body
🎯 acceptedAnswerId	integer | null	79934472
💡 answers	array of objects	see below
🕒 scrapedAt	ISO 8601	"2026-05-01T01:55:33.000Z"

Each answer in answers has:

• answerId, isAccepted, score, creationDate, bodyMarkdown, owner

📦 Sample records

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✨ Why choose this Actor

	Capability
🆓	No API key. Reads the public Stack Exchange API.
🌐	30+ network sites. Stack Overflow plus 170+ specialized Stack Exchange sites.
🏷️	Tag and search. Two query modes for narrow or broad sweeps.
💬	Answers included. Each question carries its full answer thread.
📝	Markdown body. Both Markdown and HTML body for downstream NLP.
📅	Date range. From / to filters in clean ISO format.
🚀	Sub-15-second runs. Typical 100-question pulls finish quickly.

📊 In a single 13-second run the Actor returned 100 Stack Overflow questions with full answer threads and 200 quota requests used.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
Raw Stack Exchange API calls	Free	Full	Live	Manual	Engineer hours
Stack Exchange Data Dump	Free	Full snapshot	Quarterly	None	Self-host parser
Paid dev intel platforms	$$$ subscription	Aggregated	Daily	Built-in	Account setup
⭐ Stack Exchange Q&A Scraper (this Actor)	Pay-per-event	Full	Live	Site, tag, search, sort, dates	None

Same Stack Exchange API official endpoint, exposed as clean structured rows.

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🚀 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.

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💼 Business use cases

🤖 ML & retrieval Build training datasets for code-completion models Train rerankers on real Q&A scoring patterns Power developer-Q&A retrieval pipelines Generate synthetic FAQ data from real questions	🛠️ Developer tools Mine FAQs to seed product help content Track which questions point at your product Analyze tag-level demand for new features Surface common pain points to ship fixes
📰 Tech writing Find proven angles from highly-voted questions Cite real questions with stable URLs Track topic trends over time Build educational content on top of accepted answers	👥 Developer relations Monitor questions about your tech Identify community advocates by activity Track competitor-tech question volume Build response automations

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating Stack Exchange Q&A Scraper

Run this Actor on a schedule, from your codebase, or inside another tool:

• Node.js SDK: see Apify JavaScript client for programmatic runs.
• Python SDK: see Apify Python client for the same flow in Python.
• HTTP API: see Apify API docs for raw REST integration.

Schedule daily runs from the Apify Console to track new questions on a tag. Pipe results into Google Sheets, S3, BigQuery, or your own webhook with the built-in integrations.

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❓ Frequently Asked Questions

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🔌 Integrate with any app

• Make - drop run results into 1,800+ apps.
• Zapier - trigger automations off completed runs.
• Slack - post run summaries to a channel.
• Google Sheets - sync each run into a spreadsheet.
• Webhooks - notify your own services on run finish.
• Airbyte - load runs into Snowflake, BigQuery, or Postgres.

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🔗 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.

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🆘 Need Help? Open our contact form and we'll route the question to the right person.

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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.