scrapyrt | HTTP API for Scrapy spiders | Crawler library

 by   scrapinghub Python Version: 0.16.0 License: BSD-3-Clause

kandi X-RAY | scrapyrt Summary

kandi X-RAY | scrapyrt Summary

scrapyrt is a Python library typically used in Automation, Crawler applications. scrapyrt has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However scrapyrt has 8 bugs. You can install using 'pip install scrapyrt' or download it from GitHub, PyPI.

HTTP API for Scrapy spiders
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            kandi-support Support

              scrapyrt has a low active ecosystem.
              It has 692 star(s) with 146 fork(s). There are 47 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 20 open issues and 58 have been closed. On average issues are closed in 463 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of scrapyrt is 0.16.0

            kandi-Quality Quality

              scrapyrt has 8 bugs (0 blocker, 0 critical, 8 major, 0 minor) and 23 code smells.

            kandi-Security Security

              scrapyrt has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              scrapyrt code analysis shows 0 unresolved vulnerabilities.
              There are 13 security hotspots that need review.

            kandi-License License

              scrapyrt is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              scrapyrt releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              scrapyrt saves you 915 person hours of effort in developing the same functionality from scratch.
              It has 2281 lines of code, 242 functions and 42 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed scrapyrt and discovered the below as its top functions. This is intended to give you an instant insight into scrapyrt implemented functionality, and help decide if they suit your requirements.
            • Execute the script
            • Parse command line arguments
            • Setup logging
            • Find the path to the scraper project
            • Run a reactor
            • Create a new crawler settings object
            • Returns a Flask application instance
            • Set the value of the object
            • Set settings from a module
            • Render a GET request
            • Prepare a crawl
            • Get the required parameter from api_params
            • Extract scrapy request arguments from a dictionary
            • Run a crawl
            • Validate options
            Get all kandi verified functions for this library.

            scrapyrt Key Features

            No Key Features are available at this moment for scrapyrt.

            scrapyrt Examples and Code Snippets

            No Code Snippets are available at this moment for scrapyrt.

            Community Discussions

            QUESTION

            How do you run scrapyrt with forever.js or pm2?
            Asked 2021-Apr-03 at 09:12

            I moved a project to a live server and now I need something like pm2 or forever.js to run scrapyrt.

            However, neither command seemed to work...

            forever.js

            I ran this command which failed (and I was in an active virtual environment):

            ...

            ANSWER

            Answered 2021-Apr-03 at 09:12

            I found that if the server IP address is 65.124.80.15 and I want to run scrapyrt on port 5003 off it, I can use the following commands to get pm2 running scrapyrt...

            Source https://stackoverflow.com/questions/66719642

            QUESTION

            Docker - Slow Network Conditions
            Asked 2020-Jan-16 at 22:09

            I have a docker-compose setup with several services, like so:

            ...

            ANSWER

            Answered 2020-Jan-16 at 22:09

            The problem manifested itself as the number of containers and the app complexity grew up, (as you always should be aware of).

            In my case, I had changed one of the images from Alpine to Slim-Buster (Debian), which is significantly larger.

            Turns out I could fix that by simply going to Docker 'Preferences':

            clicking on 'Advanced' and increasing memory allocation.

            Now it runs smoothly again.

            Source https://stackoverflow.com/questions/59651904

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

            Vulnerabilities

            No vulnerabilities reported

            Install scrapyrt

            You can install using 'pip install scrapyrt' or download it from GitHub, PyPI.
            You can use scrapyrt 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 .
            Find more information at:

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            Install
          • PyPI

            pip install scrapyrt

          • CLONE
          • HTTPS

            https://github.com/scrapinghub/scrapyrt.git

          • CLI

            gh repo clone scrapinghub/scrapyrt

          • sshUrl

            git@github.com:scrapinghub/scrapyrt.git

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