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Product Q&A Extractor

Use cases

Review sentiment analysis prep Competitive review comparison FAQ content extraction Product rating audits

Uses BeautifulSoup CSS selectors with regex extract_number() for rating parsing.

Checks element text, then attributes (content, value, data-*).

Configurable selectors for overall rating, review count, individual reviews, star ratings, Q&A containers.

Request delay (0.5-5s), timeout (5-60s), custom User-Agent.

Streamlit App

Platform

Browser-based (no installation required)

Input

Product URLs via paste or CSV upload

CSS selectors for reviews (rating, count, text)

CSS selectors for Q&A (container, question, answer)

Output

Three CSVs: product summary (URL, rating, count), individual reviews (URL, rating, text), Q&A pairs (URL, question, answer).

Launch App View Source

Features

  • BeautifulSoup CSS selector extraction
  • Regex number extraction from ratings
  • Attribute fallback: content, value, data-*
  • Configurable review and Q&A selectors
  • Request delay (0.5-5s), timeout (5-60s)
  • Three separate CSV outputs

How to use

  1. 1 Enter URLs or upload CSV and select column
  2. 2 Configure review selectors (defaults: .rating, [itemprop=ratingValue])
  3. 3 Configure Q&A selectors
  4. 4 Set request delay and timeout
  5. 5 Test on single URL first
  6. 6 Download three CSV exports

Want me to run this for you?

I offer this as a managed service. You get the insights without touching the tool.

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