DataSpider | A spider library of several data sources | Crawler library

 by   TsingJyujing Python Version: 1.4.2 License: GPL-3.0

kandi X-RAY | DataSpider Summary

kandi X-RAY | DataSpider Summary

DataSpider is a Python library typically used in Automation, Crawler applications. DataSpider has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install DataSpider' or download it from GitHub, PyPI.

A spider framework with several internal spiders.
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            kandi-support Support

              DataSpider has a low active ecosystem.
              It has 79 star(s) with 39 fork(s). There are 18 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              DataSpider has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of DataSpider is 1.4.2

            kandi-Quality Quality

              DataSpider has 0 bugs and 0 code smells.

            kandi-Security Security

              DataSpider has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              DataSpider code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              DataSpider is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              DataSpider releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed DataSpider and discovered the below as its top functions. This is intended to give you an instant insight into DataSpider implemented functionality, and help decide if they suit your requirements.
            • Try to read a page
            • Reads a blog
            • Return a BeautifulSoup object for the given url
            • Perform a GET request
            • List of floor objects
            • Parse a user tag
            • Parse an author
            • Parse a floor
            • Get information about a movie
            • Get data by ID
            • Returns a dictionary containing information about a book
            • Return a generator of forums
            • Create a default requests session
            • Download the image
            • Return a list of comments
            • Episode title
            • Return all comments
            • Serialize to JSON
            • Returns the size of the video
            • Returns the response content
            • Set proxy information
            • Get download link
            • Return thread urls
            • Download the URL
            • Set the cookie jar
            • Return a list of urls
            Get all kandi verified functions for this library.

            DataSpider Key Features

            No Key Features are available at this moment for DataSpider.

            DataSpider Examples and Code Snippets

            No Code Snippets are available at this moment for DataSpider.

            Community Discussions

            Trending Discussions on DataSpider

            QUESTION

            Scraping recursively with scrapy
            Asked 2020-Feb-07 at 17:37

            I'm trying to create a scrapy script with the intent on gaining information on individual posts on the medium website. Now, unfortunately, it requires 3 depths of links. Each year link, and each month within that year and then each day within the months links.

            I've got as far as managing to get each individual link for every year, every month in that year and every day. However I just can't seem to get scrapy to deal with the individual day pages.

            I'm not entirely sure whether I'm confusing using rules and using functions with callbacks to get the links. There isn't much guidance on how to recursively deal with this type of pagination. I've tried using functions and response.follow by itself without being able to get it to run.

            The parse_item function dictionary is required because several articles on the individual day pages have several different ways of classifying the title annoyingly. So i created a function to grab the title regardless of the actual XPATH needed to grab the title.

            The last function get_tag is needed because on each individual article that is where the tags are to grab.

            I'd appreciate any insight into how to get the last step and getting the individual links to go through the parse_item function, the shell o. I should say there are no obvious errors than I can see in the shell.

            Any further information necessary just let me know.

            Thanks!

            CODE:

            ...

            ANSWER

            Answered 2020-Feb-07 at 17:37

            remove the three functions years,months,days

            Source https://stackoverflow.com/questions/60118196

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install DataSpider

            You can install using 'pip install DataSpider' or download it from GitHub, PyPI.
            You can use DataSpider like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/TsingJyujing/DataSpider.git

          • CLI

            gh repo clone TsingJyujing/DataSpider

          • sshUrl

            git@github.com:TsingJyujing/DataSpider.git

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