1337x | ✖️ Unofficial API | REST library

 by   hemantapkh Python Version: 1.2.5 License: MIT

kandi X-RAY | 1337x Summary

kandi X-RAY | 1337x Summary

1337x is a Python library typically used in Web Services, REST, Nodejs applications. 1337x has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install 1337x' or download it from GitHub, PyPI.

This is the unofficial API of 1337x. It supports all proxies of 1337x and almost all functions of 1337x. You can search, get trending, top and popular torrents. Furthermore, you can browse torrents of a certain category. It also supports filtering on result by category, supports sorting and caching.
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            kandi-support Support

              1337x has a low active ecosystem.
              It has 71 star(s) with 18 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 6 have been closed. On average issues are closed in 32 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of 1337x is 1.2.5

            kandi-Quality Quality

              1337x has 0 bugs and 0 code smells.

            kandi-Security Security

              1337x has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              1337x code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              1337x is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              1337x 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, examples and code snippets are available.
              It has 149 lines of code, 9 functions and 4 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed 1337x and discovered the below as its top functions. This is intended to give you an instant insight into 1337x implemented functionality, and help decide if they suit your requirements.
            • Parse torrent info .
            • Parse torrents .
            • Initialize connection parameters .
            • Get torrent info .
            • Search torrents .
            • Get the top 100 torrents .
            Get all kandi verified functions for this library.

            1337x Key Features

            No Key Features are available at this moment for 1337x.

            1337x Examples and Code Snippets

            Start guide,Quick Examples
            Pythondot img1Lines of Code : 48dot img1License : Permissive (MIT)
            copy iconCopy
            >>> from py1337x import py1337x
            
            # Using 1337x.tw and saving the cache in Desktop which expires after 500 seconds
            >>> torrents = py1337x(proxy='1337x.tw', cache='/home/user/Desktop/cache', cacheTime=500)
            
            >>> torrents.searc  
            Available attributes
            Pythondot img2Lines of Code : 3dot img2License : Permissive (MIT)
            copy iconCopy
            from py1337x import py1337x
            
            torrents = py1337x(proxy='1337x.st', cookie='', cache='py1337xCache', cacheTime=86400, backend='sqlite')
              
            Available methods
            Pythondot img3Lines of Code : 3dot img3License : Permissive (MIT)
            copy iconCopy
            from py1337x import py1337x
            
            torrents = py1337x()
              

            Community Discussions

            QUESTION

            Is this the right way to scrape multiple URLs simulateneously in Python?
            Asked 2020-Sep-12 at 11:32

            I'm new to Python, I'm creating a web scrapper for scraping a torrent site. In order to obtain magnet links, I have made it scrape every torrent URL. The problem is there are ~20 links to scrape in every search. This takes a very long time to complete. So, I split the URL Scrape list into three using numpy and tried to scrape all the three lists at same time using threads. It seems to be faster but I'm not sure if this is the right way for doing this. Is this the correct way to scrape multiple urls at once?

            Thanks

            ...

            ANSWER

            Answered 2020-Sep-12 at 11:32

            You don't really need or want threads for this, you can use aiocfscrape instead of regular cfscrape, and then use asyncio to process requests concurrently in a single thread.

            Having more threads in Python doesn't really improve your performance for this kind of use case, though on the other hand you already have the code written and it seems to be working so that's fine too. Just don't think that you're getting a benefit from multiple threads per se--the benefit you're getting is being able to issue multiple requests at the same time, hiding some latency by processing one while another is in flight.

            Source https://stackoverflow.com/questions/63859812

            QUESTION

            Scrapy : AttributeError: 'str' object has no attribute 'xpath' in Python webscraping
            Asked 2020-Aug-25 at 05:41

            Snip of my output! I am getting this error and i can't solve it . Here is my code :

            ...

            ANSWER

            Answered 2020-Aug-24 at 17:56

            QUESTION

            How would I go about finding a specific link in a website with python3
            Asked 2020-Jun-01 at 01:01

            I'm trying to build a python program that scrapes this website: (https://fitgirl-repacks.site/dungeon-defenders-awakened/), and then return just the 1337x download link: (https://1337x.to/torrent/4474599/Dungeon-Defenders-Awakened-v1-0-0-17001-MULTi8-FitGirl-Repack/). I succeeded in scraping the website, but how would I go about coding up the program that finds the 1337x download link: (https://1337x.to/torrent/4474599/Dungeon-Defenders-Awakened-v1-0-0-17001-MULTi8-FitGirl-Repack/), and return it in the python console?.

            ...

            ANSWER

            Answered 2020-Jun-01 at 01:01

            Using BeautifulSoup you can extract the url:

            Source https://stackoverflow.com/questions/62124230

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

            Vulnerabilities

            No vulnerabilities reported

            Install 1337x

            Install from the source.
            Install via PyPi pip install 1337x
            Install from the source git clone https://github.com/hemantapkh/1337x && cd 1337x && python setup.py sdist && pip install dist/*

            Support

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            Install
          • PyPI

            pip install 1337x

          • CLONE
          • HTTPS

            https://github.com/hemantapkh/1337x.git

          • CLI

            gh repo clone hemantapkh/1337x

          • sshUrl

            git@github.com:hemantapkh/1337x.git

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