Project Title: Jewelry Stores Scraping from Amazon
We’re looking for an experienced data scraping specialist, to gather the information of jewelry stores from this list https://www.amazon.com/s?i=fashion-womens-intl-ship&bbn=16225018011&rh=n%3A7141123011%2Cn%3A16225018011%2Cn%3A7192394011&page=20&qid=1618152372&ref=sr_pg_5
Need to take a Store Name and all possible information from Amazon (for example, here you can take rating on Amazon, Count of Feedbacks, Country, City ), Google for the Facebook page of the store (IMPORTANT: try to add “jewelry” or “Facebook” and compare logo with a shop on Amazon ) and collect information:
– Transfer the Excel file with data from FB Pages (you should find it by yourself)
– Information from FB Pages:
Likes count (from Page -> Home)
Page title (from Page -> Home)
FB URL (from Page -> About)
Email(s) (from Page -> About)
Phone number(s) (from Page -> About)
Company URL(s) (from Page -> About)
Location (from Page -> About)
More Info (from Page -> About)
Also, we need in the table:
Rating on Amazon
Count of feedbacks on Amazon
Country on Amazon
City on Amazon
Don’t collect the same stores several times.
In your proposal, please include an example of Excel you will create, with a few stores, so we can check the accuracy.
For similar work requirement feel free to email us on firstname.lastname@example.org.
I need a web scraper to go the profile page of all reviewers for each product from an excel list of amazon product urls.
List of data fields will be provided.
The output should be an excel/csv file.