Pulling consumer review data from eBay

SteveMM
SteveMM New Altair Community Member
edited November 2024 in Community Q&A

Is there anyway to use RapidMiner to connect to eBay and pull consumer reviews based on a filtered topic (i.e. Under Armour) and get consumer's feedback based upon and do sentiment analysis on the feedback? 

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Best Answer

  • sgenzer
    sgenzer
    Altair Employee
    Answer ✓

    ok so I am assuming that you want to analyze something like this?

    Screen Shot 2016-12-03 at 6.39.31 PM.png

     

    Yes it might work.  I would try using the "follow_link_using_matching_url" with the regex .*product-reviews.*  I have not tried it but maybe?  You will need to do a LOT of clean up with the results before getting the data clean enough to do sentiment analysis.   Sites like eBay have a ton of junk on their pages that you will need to get rid of.

     

    Scott

Answers

  • sgenzer
    sgenzer
    Altair Employee

    hi..don't know if there is an eBay API but you can certainly webscrape eBay using the Web Mining extension and then use sentiment analysis (e.g. Aylien).

    Scott

  • SteveMM
    SteveMM New Altair Community Member

    Scott:

     

    I am somewhat new to RapidMiner.  Would I do this through the "Crawl Web" operator?  Within the Crawling Rules I would like to return anything related to that topic and get consumer's feedback on that.  To do this I would use "store_with_matching_content" as the rule application and then use a wildcard for my search criteria?     

  • sgenzer
    sgenzer
    Altair Employee
    Answer ✓

    ok so I am assuming that you want to analyze something like this?

    Screen Shot 2016-12-03 at 6.39.31 PM.png

     

    Yes it might work.  I would try using the "follow_link_using_matching_url" with the regex .*product-reviews.*  I have not tried it but maybe?  You will need to do a LOT of clean up with the results before getting the data clean enough to do sentiment analysis.   Sites like eBay have a ton of junk on their pages that you will need to get rid of.

     

    Scott