CoolQLCool vs Kimono vs Scrapy

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CoolQLCool

0
3
+ 1
0
Kimono

17
36
+ 1
5
Scrapy

241
242
+ 1
0
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Pros of CoolQLCool
Pros of Kimono
Pros of Scrapy
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    • 2
      Easy setup
    • 1
      Extracting data from ecommerce sites
    • 1
      Integrate API with web application
    • 1
      Data Scraping
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      - No public GitHub repository available -

      What is CoolQLCool?

      CoolQLCool (CQC) is an open source GraphQL server that allows you to turn websites into GraphQL APIs.

      What is Kimono?

      You don't need to write any code or install any software to extract data with Kimono. The easiest way to use Kimono is to add our bookmarklet to your browser's bookmark bar. Then go to the website you want to get data from and click the bookmarklet. Select the data you want and Kimono does the rest. We take care of hosting the APIs that you build with Kimono and running them on the schedule you specify. Use the API output in JSON or as CSV files that you can easily paste into a spreadsheet.

      What is Scrapy?

      It is the most popular web scraping framework in Python. An open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.

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      What companies use CoolQLCool?
      What companies use Kimono?
      What companies use Scrapy?
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        What tools integrate with CoolQLCool?
        What tools integrate with Kimono?
        What tools integrate with Scrapy?
          No integrations found
          What are some alternatives to CoolQLCool, Kimono, and Scrapy?
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