referer-parser | extracting marketing attribution data from referrer URLs | Scraper library

by snowplow-referer-parser Python Version: 2023-03-15-203816 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | referer-parser Summary

referer-parser is a Python library typically used in Automation, Scraper applications. referer-parser has no bugs, it has no vulnerabilities and it has low support. However referer-parser build file is not available. You can download it from GitHub.

Library for extracting marketing attribution data from referrer URLs

Support

Quality

Security

License

Reuse

Support

referer-parser has a low active ecosystem.

It has 334 star(s) with 147 fork(s). There are 38 watchers for this library.

It had no major release in the last 12 months.

There are 29 open issues and 95 have been closed. On average issues are closed in 982 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of referer-parser is 2023-03-15-203816

Quality

referer-parser has 0 bugs and 0 code smells.

Security

referer-parser has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

referer-parser code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

referer-parser does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

referer-parser releases are available to install and integrate.

referer-parser has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 3044 lines of code, 149 functions and 58 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed referer-parser and discovered the below as its top functions. This is intended to give you an instant insight into referer-parser implemented functionality, and help decide if they suit your requirements.

copy src to dest
write content to dest
Build JSON from YAML source .
Copy all references to destination
Copy test source to destination .

Get all kandi verified functions for this library.

referer-parser Key Features

No Key Features are available at this moment for referer-parser.

referer-parser Examples and Code Snippets

No Code Snippets are available at this moment for referer-parser.

Community Discussions

Trending Discussions on referer-parser

`to_specs': Could not find 'railties' (>= 0) among 8 total gem(s) (Gem::LoadError)

QUESTION

`to_specs': Could not find 'railties' (>= 0) among 8 total gem(s) (Gem::LoadError)

Asked 2019-Jul-04 at 22:49

I postes this question because I didn't find any related answer on stackoverflow. I did everything. I will explain what I have tried. When I start the Rails server using rails s, I get the following output:

...

ANSWER

Answered 2019-Jul-03 at 12:33

The root of the problem seems to be bundler. What operating system and Ruby version are you using? It may be a problem with old OpenSSL library, so you can not install bundler and everything after it.

If you are using jRuby (your gem list output tells so), your problem seems to be the same as described in link. And there is a solution as well.

Maybe you forgot to set 2.1.2 version of ruby as global? (rbenv set global 2.1.2)

Source https://stackoverflow.com/questions/56862701

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

Vulnerabilities

No vulnerabilities reported

Install referer-parser

You can download it from GitHub.
You can use referer-parser 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.