Review & Sentiment Data Extraction

Collect reviews, ratings, and sentiment signals from across the web

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").

FAQs