review-scraper

To collect customer reviews from G2, Capterra, and Trustpilot, you can use a scraping tool to aggregate feedback for a target company. This process converts unstructured review text into structured data fields like rating, date, and reviewer role for competitor analysis.

Yes, you can convert unstructured Trustpilot feedback into structured data. The scraping process extracts details such as rating, date, reviewer role, and company size, organizing the text into structured fields for easier product team analysis and brand sentiment monitoring.

To scrape reviews from G2 and Capterra, you need an ORTHOGONAL_API_KEY configured in your environment. This key allows the scraping process to authenticate and retrieve customer feedback, transforming it into structured data for your target company.

The best way to aggregate user ratings and reviewer roles across multiple platforms is using a multi-source scraping approach. It retrieves reviews from G2, Capterra, and Trustpilot in one pass, structuring the feedback into fields like rating and company size.

Yes, this review scraping method works for monitoring brand sentiment and summarizing customer feedback. By collecting and structuring reviews from Trustpilot, G2, and Capterra, you can analyze aggregated user feedback to gauge brand perception and inform product teams.

When scraping structured data from software review sites, limitations include requiring an ORTHOGONAL_API_KEY and being dependent on the site structures of G2, Capterra, and Trustpilot. It is designed for collecting public customer reviews and converting unstructured text into structured fields.