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ParseHub

24
57
+ 1
14
Scrapy

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ParseHub vs Scrapy: What are the differences?

Developers describe ParseHub as "Turn dynamic websites into APIs". You can extract data from anywhere. ParseHub works with single-page apps, multi-page apps and just about any other modern web technology. ParseHub can handle Javascript, AJAX, cookies, sessions and redirects. You can easily fill in forms, loop through dropdowns, login to websites, click on interactive maps and even deal with infinite scrolling. On the other hand, Scrapy is detailed as "A fast high-level web crawling & scraping framework for Python". 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.

ParseHub and Scrapy belong to "Web Scraping API" category of the tech stack.

Scrapy is an open source tool with 33.5K GitHub stars and 7.87K GitHub forks. Here's a link to Scrapy's open source repository on GitHub.

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Pros of ParseHub
Pros of Scrapy
  • 5
    Great support
  • 4
    Easy setup
  • 3
    Complex websites
  • 2
    Native Desktop App
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    - No public GitHub repository available -

    What is ParseHub?

    Web Scraping and Data Extraction ParseHub is a free and powerful web scraping tool. With our advanced web scraper, extracting data is as easy as clicking on the data you need. ParseHub lets you turn any website into a spreadsheet or API w

    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 ParseHub?
    What companies use Scrapy?
    See which teams inside your own company are using ParseHub or Scrapy.
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    What tools integrate with ParseHub?
    What tools integrate with Scrapy?
      No integrations found
      What are some alternatives to ParseHub and Scrapy?
      Octoparse
      It is a free client-side Windows web scraping software that turns unstructured or semi-structured data from websites into structured data sets, no coding necessary. Extracted data can be exported as API, CSV, Excel or exported into a database.
      BeautifulSoup
      It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work.
      import.io
      import.io is a free web-based platform that puts the power of the machine readable web in your hands. Using our tools you can create an API or crawl an entire website in a fraction of the time of traditional methods, no coding required.
      Portia
      Portia is an open source tool that lets you get data from websites. It facilitates and automates the process of data extraction. This visual web scraper works straight from your browser, so you don't need to download or install anything.
      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.
      See all alternatives