Open Source Python Web Scrapers - Page 3
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Python Web Scrapers
View 183 business solutionsBrowse free open source Python Web Scrapers and projects below. Use the toggles on the left to filter open source Python Web Scrapers by OS, license, language, programming language, and project status.
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Cloud-hosted construction project information management for improved communication, and increased efficiency.Newforma empowers over 4M professionals and 1,500 AECO firms worldwide by revolutionizing Project Information Management. We transform vast amounts of project data into a meticulously organized, easily accessible, and fully searchable resource—all from a single, centralized platform. From pre-construction to years after completion, Newforma ensures you have the critical information you need at every stage of your projects.
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We help you deliver Virtual and Hybrid Events using our Award Winning end-to-end Event Management PlatformEventsAIR have been anticipating and responding to the ever-changing event industry needs for over 30 years, providing innovative solutions that empower event organizers to create successful events around the globe.
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YouTube video web scraper 2 [ISA]
YouTube video web scraper 2 [Improved.Simplified.Alternative]
'YouTube video web scraper 2' is an desktop application developed using python 3.11.4 and other add-on libaries. Finds YouTube video based on user request and view as table. Export the table as excel. Compatible only for windows OS. -
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It is a powerful data scraping tool that helps you extract information from various online sources. Easily collect data from Google SERP, Maps, Shopify, Zillow, and more. With a user-friendly interface, you can scrape and save data in JSON or Excel formats. Unlock insights from the web effortlessly with scrape-it.cloud API.
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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. -
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Crawl4AI
Open-source LLM Friendly Web Crawler & Scraper
Crawl4AI is a high-performance, AI‑ready web crawler tailored for LLM data ingestion and RAG pipelines. It supports adaptive crawling heuristics (stopping when enough info is gathered), structured markdown output, and high-speed parallel execution. Designed to operate at scale with optional Docker deployment and framework integrations. -
Cloud-Based Software Licensing - Zentitle by Nalpeiron1000’s software companies have used Zentitle to launch new software products fast and control their entitlements easily - many going from startup to IPO on our platform. Our software monetization infrastructure allows you to easily build or
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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. Developers can integrate these login routines into automation scripts, crawlers, or data collection tools that require authenticated sessions. It also provides example utilities and automation scripts demonstrating how the login APIs can be used in practical scenarios. -
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Webhunter is a distributed, multi-threaded web crawler designed for both general indexing and crawling the web for focused content.
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Domain Analyzer Security Tool
Finds all the security information for a given domain name
Domain analyzer is a security analysis tool which automatically discovers and reports information about the given domain. Its main purpose is to analyze domains in an unattended way. -
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FEAPDER
Powerful Python crawler framework for scalable web scraping tasks
feapder is a Python-based web crawling framework designed to simplify the process of building scalable and efficient web scrapers. It focuses on providing a developer-friendly environment that makes it easier to create, run, and manage crawlers for a variety of data collection tasks. It includes several built-in spider types, such as AirSpider, Spider, TaskSpider, and BatchSpider, which address different crawling scenarios ranging from lightweight scraping to distributed and batch-based jobs. feapder supports features such as breakpoint resume, allowing crawlers to continue from where they stopped without losing progress. It also integrates monitoring and alerting capabilities to help developers track crawler performance and detect issues during execution. feapder includes browser rendering support for handling dynamic web pages and provides mechanisms for large-scale data deduplication during crawling. -
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Gerapy
Distributed Crawler Management Framework Based on Scrapy
Distributed Crawler Management Framework Based on Scrapy, Scrapyd, Scrapyd-Client, Scrapyd-API, Django and Vue.js. Someone who has worked as a crawler with Python may use Scrapy. Scrapy is indeed a very powerful crawler framework. It has high crawling efficiency and good scalability. It is basically a necessary tool for developing crawlers using Python. If you use Scrapy as a crawler, then of course we can use our own host to crawl when crawling, but when the crawl is very large, we can’t run the crawler on our own machine, a good one. The method is to deploy Scrapy to a remote server for execution. At this time, you might use Scrapyd. With it, we only need to install Scrapyd on the remote server and start the service. We can deploy the Scrapy project we wrote. Go to the remote host. In addition, Scrapyd provides a variety of operations API, which gives you free control over the operation of the Scrapy project. -
Non Emergency Medical Transportation (NEMT) SoftwareNovusMED is an ecosystem that includes call center, administrative, driver applications, and client/clinic booking applications. NovusMED is the platform of choice for a wide range of medical transportation services and includes configurations for brokerage, providers, senior, community, and home health programs. Accurately manage calls and patient information. Monitor real-time performance and adjust resource capacity to meet changes in service demand. Manage will calls, confirmation calls, and recurring trips/standing orders in real time. Improved mileage reimbursement and cost calculators to manage multiple contractors, funding sources (payors), multiple providers, and volunteer driver programs. Enhanced credential management for vehicles and drivers. Manage subcontractor outsourcing with provider mobile, trip bidding, and trip offers. Able to see the closest vehicle and perform immediate bookings.
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GoogleScraper
Python tool for scraping search engine results from many providers
GoogleScraper is a Python-based tool designed to automatically collect and process search engine results from multiple providers. It enables developers and researchers to programmatically query search engines and extract useful information such as links, titles, and result descriptions. 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. -
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Grab Framework Project
Web Scraping Framework
Grab is a python framework for building web scrapers. With Grab you can build web scrapers of various complexity, from simple 5-line scripts to complex asynchronous website crawlers processing millions of web pages. Grab provides an API for performing network requests and for handling the received content e.g. interacting with DOM tree of the HTML document. The single request/response API that allows you to build network request, perform it and work with the received content. The API is built on top of urllib3 and lxml libraries. The Spider API to build asynchronous web crawlers. You write classes that define handlers for each type of network request. 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. -
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Letterboxd Recommendations
Scraping publicly-accessible Letterboxd data for movie recommendations
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username. A user's "star" ratings are scraped from their Letterboxd profile and assigned numerical ratings from 1 to 10 (accounting for half stars). Their ratings are then combined with a sample of ratings from the top 4000 most active users on the site to create a collaborative filtering recommender model using singular value decomposition (SVD). All movies in the full dataset that the user has not rated are run through the model for predicted scores and the items with the top predicted scores are returned. Due to constraints in time and computing power, the maximum sample size that a user is allowed to select is 500,000 samples, though there are over five million ratings in the full dataset from the top 4000 Letterboxd users alone. -
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MechanicalSoup
A Python library for automating interaction with websites
A Python library for automating interaction with websites. MechanicalSoup automatically stores and sends cookies, follows redirects, and can follow links and submit forms. It doesn't do JavaScript. MechanicalSoup was created by M Hickford, who was a fond user of the Mechanize library. 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. -
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Nomad is tiny but efficient search engine and web crawler. This works very good for searching with in the set of corporate websites on internet and/or intranet's HTML documents or knowledge repositories.
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PAMIE
A Python class to allow the user to automate Internet Explorer
Python Automation Module (class) for Internet Explorer (PAM.py). Originally written as a simple Python module. This new Python class starting with 2.0 allows the user to automate Internet Explorer browser for QA testing, development testing, or web scraping. This python class only runs on Windows (only) and automates Internet Explorer using the COM object, there is no support for Firefox, Chrome, Safari or Flex at this time. This is not an Application. Also check out the original "SAMIE" (Perl module) written by Henry Wasserman. -
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Provas aplicadas - Concursos
Baixar provas aplicadas de bancas
Um aplicativo desktop que permite o download de provas aplicadas em concursos públicos no Brasil. O aplicativo oferece filtros personalizáveis para pesquisa de provas e gabaritos de acordo com a banca organizadora, ano e nível de escolaridade. -
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Python Crawler Library
Python Web Crawler Library
A simple library for crawling the web. This library will give you the ability to create macros for crawling web site and preforming simple actions like preforming "log in" and other simple actions in web sites. -
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Requests-HTML
Pythonic HTML Parsing for Humans
This library intends to make parsing HTML (e.g. scraping the web) as simple and intuitive as possible. When using this library you automatically get full JavaScript support! (Using Chromium, thanks to puppeteer) CSS Selectors (a.k.a jQuery-style, thanks to PyQuery). 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. -
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Scrapyd
A service daemon to run Scrapy spiders
Scrapyd can manage multiple projects and each project can have multiple versions uploaded, but only the latest one will be used for launching new spiders. A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. For example: r23. 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. -
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Snoop Project
This is the most powerful software taking into account CIS location
Snoop is an open data intelligence tool (OSINT world). Snoop Project is one of the most promising OSINT tools for finding nicknames. This is the most powerful software taking into account the CIS location. Is your life slideshow? Ask Snoop. Snoop project is developed without taking into account the opinions of the NSA and their friends, that is, it is available to the average user. Snoop is a research work (own database / closed bugbounty) in the field of searching and processing public data on the Internet. In terms of specialized search, Snoop is able to compete with traditional search engines. -
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Toapi
Convert websites into structured APIs automatically with Python tool
Toapi is a Python library designed to transform ordinary websites into usable API services. Instead of building a traditional web crawler that collects and stores data before exposing it through an API, Toapi simplifies the process by allowing developers to define data structures that automatically generate an API layer from existing web pages. It works by parsing HTML content from a source site and mapping selected elements into structured data that can be returned as JSON through API endpoints. 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. -
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Trafilatura
Python & command-line tool to gather text on the Web
Trafilatura is a Python package and command-line tool designed to gather text on the Web. It includes discovery, extraction and text-processing components. Its main applications are web crawling, downloads, scraping, and extraction of main texts, metadata and comments. It aims at staying handy and modular: no database is required, the output can be converted to various commonly used formats. Going from raw HTML to essential parts can alleviate many problems related to text quality, first by avoiding the noise caused by recurring elements (headers, footers, links/blogroll etc.) and second by including information such as author and date in order to make sense of the data. The extractor tries to strike a balance between limiting noise (precision) and including all valid parts (recall). It also has to be robust and reasonably fast, it runs in production on millions of documents. -
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Twitter Intelligence
Twitter Intelligence OSINT project performs tracking and analysis
A project written in Python for Twitter tracking and analysis without using Twitter API. This project is a Python 3.x application. The package dependencies are in the file requirements.txt. Run that command to install the dependencies. SQLite is used as the database. Tweet data is stored on the Tweet, User, Location, Hashtag, HashtagTweet tables. The database is created automatically. analysis.py performs analysis processing. User, hashtag, and location analyzes are performed. You must write Google Map API Key in setting.py to display Google Maps. -
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VIT Marks Display
A small program that accesses VIT marks of a specific student
A small attempt while learning interfacing with the web while learning python to get the marks of a specific valid VIT student using basic web scraping techniques
