review-scraper

Scrape product reviews from G2, Capterra, and Trustpilot using a unified Python script that normalizes results into a consistent schema for downstream analytics. It requires Python 3, the requests library, and an Apify API token to run platform-specific actors.

Monitor competitor sentiment by running the unified scraper to aggregate cross-platform feedback from G2, Capterra, and Trustpilot. The script normalizes all collected review data into a single source of truth for competitive benchmarking.

Yes, you need an Apify API token to scrape Trustpilot and G2 reviews. The script uses the token to run platform-specific Apify actors that fetch and normalize customer feedback into a consistent schema.

You can consolidate customer feedback from Capterra and Trustpilot using the platform-dispatch script. It normalizes the scraped review data into a common schema, enabling downstream sentiment analysis and tracking of product feedback over time.

Yes, the review scraper normalizes data from different platforms into a common schema. This normalization ensures that reviews from G2, Capterra, and Trustpilot are consolidated consistently for downstream analytics dashboards.

Limitations of cross-platform review scraping include dependency on the Apify API token and external platform-specific actors. You must also have Python 3 and the requests library installed, and the scraper is constrained by the supported platforms.