Scrape Amazon Review

Introduction:

Visit the Amazon product page and obtain 10 pages of review information, including: name, rating, title, content.

Process description:

This RPA process automatically accesses the Amazon product page, crawls the first 10 pages of review information, including name, rating, title, and content, through a loop operation, and stores the crawled data in a file.

This workflow uses 5 parameters, which you can change in the workflow global data.

1. ProductUrl: URL of the Amazon product

For example:

• https://www.amazon.com/ZOTAC-Graphics-IceStorm-Advanced-ZT-A30710J-10P/dp/B09CML48LD/
• https://www.amazon.com/RESPAWN-110-Racing-Style-Gaming-Chair/dp/B076HTJRMZ/

2. maxReviews: Maximum number of reviews you want to extract, default value: 100.

3. sortBy: Sort reviews

Available values:

• "helpful": Sort by reviews
• "recent": Sort by recent reviews

4. reviewerType: Reviewer type

Available values:

• "all_reviews": All reviewers
• "avp_only_reviews": Amazon verified purchases only

5. filterByStar: Review filter

Available values:

• "critical": Filtered by critical reviews
• "positive": Filtered by positive reviews
• "one_star": Filtered by one-star reviews
• "two_star": Filtered by two-star reviews
• "three_star": Filtered by three-star reviews
• "four_star": Filtered by four-star reviews
• "five_star": Filtered by five-star reviews
• "all_stars": Filtered by all-star reviews