URL Parsing

The purpose of this plugin is to parse URL and return it.

monitoring log files and sending parsed logs to a specified URL

Preprocessor for kakaotalk message exported file

Parsing referrer URLS for common search engines.

A Python project to parse security.txt file and URL.

Human-friendly URL parsing in python

Parse Ingress Intel, Google Maps, and Apple Maps URLs

A mediocre URI parsing lib

A simple command-line utility for parsing URLs.

🎯 Your friendly URL wizard - Craft, manipulate, and manage URLs with style!

Simple URL parsing, canonicalization and equivalence.

A python library which could parse URL to ip and country.

Parse url and get all the different parts out of it

Python package to make URL extraction, generalization, validation, and filtration easy.

A modified `http` loader for thumbor which provides additional statistics (like width, height and url parsing)

A small dat url parser package, still work in progree

A Git URL parsing module (supports parsing and rewriting)

This is module for parse some data from urls

Doc Fusion is a Data Sourcing framework capable of parsing various data types such as pdf, txt, md, docx, xlsx, csv and even a webpage url.

SR Invoice Parser is a small library(crawler) that is parsing invoices and extracting relevant information from URL. For Serbian market.

Url parsing and editing as an object or in a functional style.

parse google maps url

Regex Based URI reference parsing

Parses your web server access logs, resolves your URLs against your django project, and tells you what URLs take a long time

Some functions to parse and normalize URLs.

Parse (absolute and relative) URLs.

A tiny CLI tool for parsing SSR url to plain text.

A Python module providing advanced tools for URI manipulation and validation. Simplifies handling and parsing of URIs, with a focus on robustness and ease of use.

Tool for parsing URL webpage into JSON + RDF.

Parse matrix by url

A tool for parsing all sorts of Git URLs

API for accessing FlyBase through url request and parsing out data

Semantic URL - A Parsing & Manipulation library for creating & using Semantic URLs

A Python package for reading, storing, & analyzing data from Public Data APIs.It provides modules for reading & parsing data from URL, storing data using a wrapper for SQLite, and performing some statistics.

CSSCrawler is a Nagare application that parses CSSstyles from website URL and generate a color palette.

Very user friendly library to parse OpenSourceMap data either from an XML file (i.e. *.osm), from an OSM API URL, or from a user specified bounding box

Parse the software of thunder,qqdl and flashget download url

Link expander in Python which parses and returns the URLs and information in common link domains.

RSS feed parser: Takes a URL and configuration dict and returns an iterable object containing feed `<items>`

A library for parsing URL query strings into heterogeneously shaped dicts.

A simple url parsing library for python

Use dj-database-url to parse DATABASE_URL for Buildout environments

This Python module securely validates and extracts user data from a URL-encoded string, using HMAC and SHA-256 for data integrity. It features a User class to structure user information and a Data class for validation and data parsing. Ideal for web applications needing secure user authentication and data management, it's easy to integrate and use.

Parse out URLs in a chunk of text

Extract and modify HTML/CSS URLs, translate HTML documents <-> list data structures.

A Git URL parsing module (supports parsing and rewriting)

This package implements a PEG (Parsing Expression Grammar) to parse syntax, i add rules to parse URL, HTTP request and response easily with security and some format like hexadecimal, base32, base64, base85, CSV, JSON (strict and permissive), system file path...

A tool to fetch data from urls to a pdf or a word file.

A web scraping API that allows users to easily extract data from any website by simply providing the URL. The API utilizes advanced parsing and data storage techniques to ensure accurate and efficient data extraction. The package is easy to install and use, making it perfect for data scientists, researchers, and developers looking to quickly and easily access web data.

Automatically parse input based on typical regex patterns. Extensible library for custom parsing for any input.