Search Results for "requests"
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Showing 28 open source projects for "requests"
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1
Grab Framework Project
Web Scraping Framework
...Each handler is able to spawn new network requests. Network requests are processed concurrently with a pool of asynchronous web sockets. Grab provides interface called Spider to develop multithreaded web-site scrapers. -
2
crawler
Collection of JS reverse engineering examples for web scraping study
...It contains many case studies that demonstrate how to analyze and replicate request parameters, cookies, and encryption logic used by real websites. Each directory in the project focuses on a specific target service or scenario, showing how browser network requests and JavaScript code can be studied to reproduce API calls programmatically. Many examples illustrate techniques such as debugging scripts, intercepting requests, analyzing encrypted parameters, and understanding authentication flows. crawler also explores common anti-scraping defenses and demonstrates how developers can examine them through debugging tools and reverse engineering techniques. -
3
Toapi
Convert websites into structured APIs automatically with Python tool
...Developers define items and routes that determine how web pages are parsed and how the resulting data is exposed through the API interface. It also includes mechanisms for caching both page content and API requests, helping reduce repeated network calls and improving performance. Because the generated service is built on top of a Flask application, it can be deployed like any other Flask-based project and integrated into existing Python workflows. -
4
Pydoll
Async Python library in automating Chromium browsers without WebDriver
...Its architecture is built around asynchronous programming using Python’s asyncio framework, enabling concurrent automation of multiple tabs and browser contexts. Pydoll also includes tools for monitoring and intercepting network traffic, allowing developers to analyze or modify requests and responses during automation workflows. It emphasizes realistic interactions and fingerprint management to reduce the likelihood of automated actions. -
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5
rnet
Python HTTP client with TLS and HTTP/2 fingerprint emulation support
rnet is an ergonomic and modular Python HTTP client designed for developers who need advanced control over network requests and protocol behavior. It provides a flexible API for making HTTP requests while supporting both asynchronous and blocking workflows, allowing it to integrate easily into different Python applications and runtimes. rnet focuses on low-level protocol customization, giving users fine-grained control over TLS and HTTP/2 configuration in order to emulate specific browser behaviors. ... -
6
gain
Asyncio-based Python framework for building fast web crawling spiders
...Gain also allows developers to configure headers, concurrency levels, and proxy settings to control how crawlers interact with target websites. Because it uses asynchronous programming, Gain can handle multiple requests efficiently while minimizing blocking operations. -
7
Python API for JMComic
Python crawler and API for downloading JMComic albums and images
JMComic-Crawler-Python is a Python library and crawler framework designed to programmatically access and download comic content from the JMComic platform. It provides a structured API that allows developers to retrieve albums, chapters, and images using simple Python code while handling the necessary network requests and data processing behind the scenes. It supports both web-based and mobile API interfaces, enabling flexible interaction with the platform depending on the available endpoints. Its architecture includes components for configuration management, download orchestration, and client communication, allowing users to automate the retrieval of manga chapters or entire albums. ... -
8
MechanicalSoup
A Python library for automating interaction with websites
...Unfortunately, Mechanize was incompatible with Python 3 until 2019 and its development stalled for several years. MechanicalSoup provides a similar API, built on Python giants Requests (for HTTP sessions) and BeautifulSoup (for document navigation). Since 2017 it is a project actively maintained by a small team. -
9
tumblr-crawler
Python crawler to download photos and videos from Tumblr blogs
...Once executed, the script fetches media from the Tumblr API and stores the downloaded files in folders named after each blog. tumblr-crawler avoids re-downloading files that have already been saved, making repeated runs safe and useful for recovering missing media. It also supports optional proxy configuration, which can help when access to Tumblr content requires routing requests through a proxy server. With simple dependencies and straightforward configuration, the project offers a practical way to archive media content from Tumblr blogs. -
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10
xsrfprobe
Advanced toolkit for detecting and exploiting CSRF vulnerabilities
XSRFProbe is an advanced security auditing toolkit designed to detect and analyze Cross Site Request Forgery (CSRF/XSRF) vulnerabilities in web applications. It uses an automated crawling engine that continuously scans a target application, collects forms and endpoints, and evaluates them for potential CSRF weaknesses. XSRFProbe performs numerous systematic checks to determine whether a web endpoint is vulnerable, including inspection of anti-CSRF tokens, cookie validation behavior, and... -
11
Scrapy-Redis
Redis-based components for Scrapy
...The urls in the redis queue will be processed one after another, if the first request yields more requests, the spider will process those requests before fetching another url from redis. -
12
Web Link Collector 1000
Automatically collect all links from websites to a clean txt file
...- Smart Filtering: Include only same-domain links or gather external links too - Duplicate Prevention: Automatically removes duplicate links - Website-Friendly: Uses respectful delays between requests - Custom File Naming: Save your collections with custom meaningful names - Modern Interface: Clean design with status updates - Link Normalization: Standardizes URLs for proper formatting -
13
spider_collection
Collection of Python web scraping scripts for data extraction tasks
spider_collection is a collection of Python web crawler scripts created primarily for experimentation, learning, and practical scraping tasks. spider_collection gathers multiple independent spiders designed to collect data from different platforms and services, demonstrating a variety of scraping techniques and workflows. These crawlers make use of common Python scraping tools such as requests, parsel, BeautifulSoup, and the Scrapy framework to extract structured information from web pages. Several scripts also incorporate multi-threading and proxy usage to improve scraping efficiency and help avoid common anti-scraping limitations. In addition to raw data collection, some spiders include basic data processing and analysis using tools such as pandas and simple visualization with matplotlib. ... -
14
autocrawler
Multiprocess Selenium crawler for downloading images by keywords
AutoCrawler is a Python-based image crawling tool designed to automatically download large numbers of images from search engines using automated browser interaction. It uses Selenium and a Chrome browser driver to navigate image search pages and collect image sources based on keywords provided by the user. AutoCrawler supports multiprocess and multithreaded downloading, which allows it to retrieve images faster by running several tasks simultaneously. Users provide search terms through a... -
15
dirhunt
Web crawler that finds hidden web directories without brute force
...Dirhunt processes HTML pages and other available sources to discover additional paths and directories while minimizing the number of requests sent to the server, making scans faster and less intrusive. It supports scanning multiple targets at the same time and allows results to be filtered, analyzed, and exported for further review. -
16
Scrapyd
A service daemon to run Scrapy spiders
...The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an application (typically run as a daemon) that listens to requests for spiders to run and spawns a process for each one. Scrapyd also runs multiple processes in parallel, allocating them in a fixed number of slots given by the max_proc and max_proc_per_cpu options, starting as many processes as possible to handle the load. -
17
DecryptLogin
Python library providing APIs for automated website login workflows
DecryptLogin is a Python library designed to simplify automated login processes for many popular websites by providing ready-to-use APIs that simulate authentication behavior. It focuses on implementing login mechanisms through HTTP requests, allowing developers to programmatically authenticate with supported services without manually replicating complex login flows. It includes modules that handle different authentication modes such as PC login, mobile login, and QR code login depending on what the target platform supports. DecryptLogin supports a wide variety of online services and platforms, including social media sites, developer platforms, cloud services, and other web portals. ... -
18
AutoScraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
This project is made for automatic web scraping to make scraping easy. It gets a URL or the HTML content of a web page and a list of sample data that we want to scrape from that page. This data can be text, URL or any HTML tag value of that page. It learns the scraping rules and returns similar elements. Then you can use this learned object with new URLs to get similar content or the exact same element of those new pages. -
19
pspider
Simple Python framework for building multithreaded web crawlers
PSpider is a lightweight web crawling framework written in Python designed to simplify the development of custom web spiders. It focuses on providing an easy-to-understand architecture while still supporting concurrent crawling for improved performance. It uses a multithreaded model that separates the crawling workflow into several components responsible for fetching, parsing, and saving data. Tasks are managed through queues, allowing different parts of the crawler to process work... -
20
Scylla
Intelligent proxy pool for collecting and managing public proxies
Scylla is an open source proxy pool system designed to collect, validate, and manage large numbers of public proxy servers for use in web scraping and data extraction workflows. It automatically crawls the internet to discover proxy IP addresses and evaluates their availability and reliability before adding them to a usable pool. It includes a JSON API that allows developers and applications to retrieve proxy information programmatically, making it easier to integrate proxy rotation into... -
21
instagram-profilecrawl
Instagram profile crawler that extracts posts, tags, and stats
...It crawls profile data such as follower counts, post information, hashtags, and other engagement-related metadata. It operates by automating a web browser using Selenium and performing requests to gather structured information from the platform. instagram-profilecrawl can analyze multiple usernames in a single run and store the extracted information locally in structured formats such as JSON. The collected data can include profile metadata, post details, engagement metrics, and commenter activity, allowing users to analyze account behavior or monitor profile growth over time. ... -
22
lxspider
Educational Python web scraping case collection for many sites
...It gathers numerous crawler implementations that demonstrate how to collect data from a wide range of websites and online services. It focuses heavily on practical cases that illustrate how different platforms handle requests, authentication parameters, and anti-scraping protections. lxSpider includes examples targeting areas such as e-commerce platforms, social media services, content sites, research databases, and information portals. Many of the cases explore techniques related to request analysis, signature generation, and reverse engineering that are often needed when interacting with modern web applications. ... -
23
ruia
Async Python framework for fast and flexible web scraping spiders
Ruia is an asynchronous web scraping micro-framework built for Python that focuses on simplicity, speed, and flexibility when creating web crawlers. Ruia is powered by Python’s asyncio library along with aiohttp, enabling developers to perform concurrent network requests efficiently and scrape data from websites with minimal overhead. Ruia follows a “write less, run faster” philosophy, emphasizing concise code and streamlined spider development. It provides a structured approach to building scraping projects through components such as data items, spiders, middleware, and plugins. Developers can define structured fields to extract information from HTML content and process responses asynchronously to improve crawling performance. ... -
24
GoogleScraper
Python tool for scraping search engine results from many providers
...GoogleScraper supports several major search engines and can be used to gather structured datasets from search result pages for further analysis. It provides two different scraping approaches: sending direct HTTP requests that simulate browser traffic or controlling real browsers through automation frameworks. By running automated queries and collecting results in bulk, the project can assist with tasks such as SEO research, trend discovery, or building datasets of websites related to specific keywords. GoogleScraper also includes capabilities for running multiple scraping tasks concurrently to improve performance and increase the amount of collected data. -
25
Requests-HTML
Pythonic HTML Parsing for Humans
...XPath Selectors, for the faint of heart. Mocked user-agent (like a real web browser). Automatic following of redirects. Connection–pooling and cookie persistence. The Requests experience you know and love, with magical parsing abilities, and async support. The rest of the code operates the same way as the synchronous version except that results is a list containing multiple response objects however the same basic processes can be applied as above to extract the data you want.
