Stack Exchange Scraper — Stack Overflow Q&A API
Pricing
from $5.00 / 1,000 stackexchange questions
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.
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.