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