Review & Sentiment Data Extraction
Collect reviews, ratings, and sentiment signals from across the web
Last updated Mar 2, 2026
Collect structured text from reviews, forums, and community posts for sentiment analysis, topic modeling, and voice-of-customer pipelines.
Common sources
- Review pages (product/service reviews)
- Community threads and Q&A forums
- Public social-like pages (web accessible)
What to extract
- Review/post text, rating (if present), date
- Author handle (if public), verified flags (if present)
- Helpful votes / reactions (if present)
- Thread structure: parent/child relationships
- Product/entity identifiers (SKU, product name, URL)
Implementation notes
- Prefer structured fields:
rating,body,timestamp,thread_id,reply_to. - Handle pagination carefully; store page cursors.
- Keep raw text clean (strip UI noise like "Read more", "Translate").