Stack Exchange Scraper — Stack Overflow Q&A API avatar

Stack Exchange Scraper — Stack Overflow Q&A API

Pricing

from $5.00 / 1,000 stackexchange questions

Go to Apify Store
Stack Exchange Scraper — Stack Overflow Q&A API

Stack Exchange Scraper — Stack Overflow Q&A API

Extract Stack Overflow and Stack Exchange questions, answers, scores, tags, owners, and accepted answers. Ideal for AI training datasets, developer support analytics, documentation gaps, and technical knowledge mining.

Pricing

from $5.00 / 1,000 stackexchange questions

Rating

0.0

(0)

Developer

Fast API

Fast API

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

0

Monthly active users

8 days ago

Last modified

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Extract clean, structured JSON from Stack Exchange API. This Actor is built for AI training data, technical support analytics, documentation gaps, developer research.

What you can do with it

  • Ai training data
  • Technical support analytics
  • Documentation gaps
  • Developer research

Features

  • Questions from Stack Overflow and other Stack Exchange sites
  • Optional answers and accepted-answer metadata
  • Scores, tags, owners, dates, and links
  • Useful technical Q&A for AI/RAG datasets

Example input

{
"site": "stackoverflow",
"tagged": "python",
"sort": "votes",
"maxItems": 50,
"includeAnswers": true
}

Example output

{
"questionId": 123,
"title": "How do I parse JSON in Python?",
"score": 420,
"tags": [
"python",
"json"
],
"answerCount": 12,
"acceptedAnswerId": 456,
"link": "https://stackoverflow.com/questions/123"
}

Output

Results are saved to the default Apify dataset as structured JSON. The actor includes an output schema so results are easy to preview, export, and consume from API clients.

Pricing

This Actor is configured for pay-per-result monetization using Apify's pay-per-event model. Users pay for dataset items/results rather than a large fixed upfront fee.

Common use cases

  • AI/RAG dataset creation
  • Market research and competitive intelligence
  • Trend monitoring
  • Data enrichment pipelines
  • Scheduled data extraction

Keywords

stackoverflow scraper, stack exchange API, Q&A dataset, developer support data, AI training Q&A

Notes

This Actor focuses on practical structured data extraction with clean defaults and low overhead. For large runs, start with a small maxItems value, verify the output, then scale up.