Project Title: Product Review Scraping from Sephora.com
Project Description:
Looking for a data scraper able to collect the following information from Sephora.com.
We have selected 10 products and would require ALL product reviews written for the product.
The final dataset (ideally, a CSV file), will include the following:
– Review Text
– Star Rating
– Review Date
– Upvotes and Downvotes
– Whether it referred to a verified purchase
– Whether the Product was recommended (green checkmark)
– Shade of product purchased
As well as all available information of the user who wrote the review:
– Username,
– Hair color,
– Eye color,
– Skin color,
– Skin type,
and some information from the Product page:
– Number of Products in the line;
– Name of Products in the line;
– Number of likes.
For similar work requirement feel free to email us on info@logicwis.com.
I need a web scraper to go the profile page of all reviewers for each product from an excel list of amazon product URLs.
Scrape the following information for all reviews:
Reviewer Name
Reviewer Ranking
Product Name
Review Date
Review Title
Review Rating (e.g. 4 out of 5 stars)
Review Content
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