Open Source Mac Web Scrapers - Page 4
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Web Scrapers for Mac
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Process Street | Compliance Operations PlatformBring compliance and operations under one roof with an AI agent that automates workflows, policies that enforce rules, and a platform that delivers results.
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Shoplogix Smart Factory PlatformReal-time Visibility into Your Shop Floor's Performance. The Shoplogix smart factory platform enables manufacturers to increase overall equipment effectiveness, reduce operational costs, sustain growth and improve profitability by allowing them to visualize, integrate and act on production and machine performance in real-time. Manufacturers that trust us to drive efficiency in their factories. Real-time visual data and analytics provide valuable insights to make better informed decisions. Uncover hidden shop floor potential and drive rapid time to value. Develop a continuously improving culture through training, education and data-driven decisions. Compete in the i4.0 world by making the Shoplogix Smart Factory Platform the cornerstone of your digital transformation. Connect to any equipment or device to automate data collection and exchange it with other manufacturing technologies. Automatically monitor, report and analyze machine states to track real-time production.
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The archive-crawler project is building Heritrix: a flexible, extensible, robust, and scalable web crawler capable of fetching, archiving, and analyzing the full diversity and breadth of internet-accesible content.
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Basketball Reference
NBA Stats API via Basketball Reference
Basketball Reference is a great site (especially for a basketball stats nut like me), and hopefully, they don't get too pissed off at me for creating this. I initially wrote this library as an exercise for creating my first PyPi package, hope you find it valuable! This library was created for another Python project where I was trying to estimate an NBA player's productivity. A lot of sports-related APIs are expensive - luckily, Basketball Reference provides a free service which can be scraped and translated into a usable API. -
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Ferret
Declarative web scraping
A web scraping system aiming to simplify data extraction from the web. ferret has a declarative query language that makes it easy to focus on the data that you need to get. ferret has the ability to scrape JS rendered pages, handle all page events, and emulate user interactions. the ferret was designed as a library from the ground up. it can be easily embedded into any Go application. ferret helps you to focus on the data you need using an easy-to-learn declarative language. ferret uses Chrome/Chromium via Chrome Devtools Protocol to handle dynamically rendered web pages. ferret is extremely extensible, and creating custom functions and types is super easy. ferret allows users to focus on the data. It abstracts away the technical details and complexity of underlying technologies using its own declarative language. It is extremely portable, extensible, and fast. -
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JobFunnel
Scrape job websites into a single spreadsheet with no duplicates.
Scrape job websites into a single spreadsheet with no duplicates. Automated tool for scraping job postings into a .csv file. You can search for jobs with YAML configuration files or by passing command arguments. By performing regular scraping and reviewing, you can cut through the noise of even the busiest job markets. Run funnel with your settings YAML to populate your master CSV file with jobs from available providers. JobFunnel can be easily automated to run nightly with crontab. If you have a job website you'd like to write a scraper for, you are welcome to implement it, Review the Base Scraper for implementation details. JobFunnel supports scraping jobs from the same job website across locales & domains. If you are interested in adding support, you may only need to define session headers and domain strings, Review the Base Scraper for further implementation details. -
Powerful Business Process AutomationWhen a message is received ThinkAutomation automatically executes one or more Automations. Automations are created using an easy to use drag-and-drop interface to run simple or complex tasks. Automations can perform many business process Actions, including: updating company databases, CRM systems and cloud services, sending outgoing emails, Teams & SMS messages, document processing, custom scripting, integration and much more. Over 100 built-in actions are included, plus ThinkAutomation is extensible with Custom Actions.
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ProxyBroker
Asynchronous tool for finding and checking public proxy servers
ProxyBroker is an open source Python tool designed to automatically discover and verify public proxy servers from many online sources. It operates asynchronously, allowing it to gather and test large numbers of proxies efficiently while performing multiple checks concurrently. It collects proxy addresses from dozens of providers and evaluates whether they are functional and suitable for use. It supports several proxy protocols, including HTTP, HTTPS, SOCKS4, and SOCKS5, making it flexible for different networking and scraping scenarios. ProxyBroker can filter proxies based on criteria such as anonymity level, response time, country of origin, and DNS blacklist status. In addition to discovering and validating proxies, it can also function as a proxy server that distributes incoming requests across a rotating pool of working proxies. This capability allows users to route traffic through multiple proxies automatically, which can help with tasks. -
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SEO MACROSCOPE
SEO Macroscope is a website scanning tool, to check your website
The website broken link scanner and technical SEO toolbox. SEO Macroscope for Microsoft Windows is a free and open-source website broken link checking and scanning tool, with some technical SEO functionality for common website problems. Find broken links on your website, both internal and external. Report robots.txt statuses. Check and report canonical, hreflang, and other metadata problems. Perform simple, configurable Technical SEO checks on titles and descriptions. Report fastest/slowest pages. Export reports to Excel and CSV formats. Generate and export text and XML sitemaps from the crawled pages. Analyze redirect chains. Use custom filters to verify the presence/absence of tracking tags. Use CSS Selectors, XPath Queries, and Regular Expressions to scrape website data. -
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appcrawler
Automated mobile app crawler and testing tool built on Appium
AppCrawler is an automated mobile application testing tool designed to explore and interact with app user interfaces automatically. Built on top of the Appium automation framework, it systematically crawls through application screens and performs actions such as clicking buttons, navigating menus, and interacting with UI elements to simulate user behavior. It is commonly used for automated functional testing, UI exploration, and detecting crashes or unexpected behaviors in mobile applications. AppCrawler works by traversing the interface structure of an application and executing predefined or dynamically discovered actions on clickable components. Its behavior can be customized using configuration files that define traversal rules, element selection logic, and specific actions triggered by conditions encountered during testing. AppCrawler supports rule-based filtering such as blacklists and whitelists to control which elements are explored and which are ignored. -
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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 simple keyword file, and the crawler organizes downloaded images into directories for each keyword. It can download either thumbnails or full resolution images and supports multiple image formats such as JPG, GIF, and PNG. It also includes configuration options such as headless mode, download limits, proxy usage, and thread count to customize crawling behavior. -
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django-dynamic-scraper
Creating Scrapy scrapers via the Django admin interface
Django Dynamic Scraper (DDS) is an app for Django build on top of the scraping framework Scrapy. While preserving many of the features of Scrapy it lets you dynamically create and manage spiders via the Django admin interface. With Django Dynamic Scraper (DDS) you can define your Scrapy scrapers dynamically via the Django admin interface and save your scraped items in the database you defined for your Django project. Since it simplifies things DDS is not usable for all kinds of scrapers, but it is well suited for the relatively common case of regularly scraping a website with a list of updated items (e.g. news, events, etc.) and then dig into the detail page to scrape some more infos for each item. Django Dynamic Scraper tries to keep its data structure in the database as separated as possible from the models in your app, so it comes with its own Django model classes for defining scrapers, runtime information related to your scraper runs and classes. -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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gain
Asyncio-based Python framework for building fast web crawling spiders
Gain is a Python web crawling framework designed to simplify the process of building efficient and scalable web scrapers. It is built on top of asynchronous technologies such as asyncio, aiohttp, and uvloop to support high-performance crawling with concurrent network requests. It provides a structured framework for creating spiders that can navigate websites, extract structured data, and process the collected results. Developers define crawlers using components such as spiders, parsers, and items, allowing them to organize crawling logic and data extraction rules clearly. Gain supports CSS selectors and XPath expressions for parsing page content and extracting specific elements. 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. -
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gocrawl
Polite concurrent web crawler library for Go with flexible hooks
gocrawl is a lightweight web crawling library written in the Go programming language that enables developers to build custom web crawlers and data extraction tools. gocrawl focuses on providing a minimal yet powerful crawling engine that can be easily extended and adapted for different web scraping or indexing tasks. It is designed to be polite when accessing websites by respecting crawling rules such as robots.txt policies and applying crawl delays for each host. It executes requests concurrently using Go’s goroutines, allowing efficient and scalable page retrieval across multiple URLs. Developers have full control over the crawling workflow, including which URLs are visited, inspected, and processed during execution. gocrawl integrates with HTML parsing tools so responses can be inspected and queried in a structured way while crawling. Instead of implementing a full search indexing pipeline, the library provides the core crawling engine and extension hooks. -
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jd-autobuy
Python tool that automates JD.com login and product purchase tasks
jd-autobuy is an open source Python-based automation tool designed to simulate the purchasing process on the JD e-commerce platform. It uses web scraping and HTTP request techniques to log into an account, check product availability, and attempt to purchase specified items automatically. It supports login through methods such as QR code authentication, allowing users to sign in through the platform’s mobile application. Once authenticated, the script can retrieve product details including price, stock status, and item information. It can automatically add items to the shopping cart and prepare an order submission workflow for faster purchasing during high-demand sales or limited stock releases. Users can configure parameters such as the product ID, quantity, refresh interval, and purchase behavior using command-line options. jd-autobuy is intended primarily for learning purposes and demonstrates how automated scripts can interact with web services and online shopping systems . -
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mzitu
Python crawler that downloads image galleries and analyzes titles
mzitu is a Python-based web crawling project designed to automatically download and organize image galleries from a specific photography site. It demonstrates how to build a scraper that navigates gallery pages, retrieves image links, and saves the images locally in a structured directory layout. It focuses on automating the collection of large sets of images by programmatically parsing page content and iterating through gallery entries. mzitu also includes a simple analysis script that processes downloaded folder names to generate statistics and visualizations. Using text segmentation and frequency analysis, the project can create a word cloud representing common keywords found in the dataset. This makes the repository both a scraping example and a small data analysis experiment built around the collected content. Overall, mzitu serves as a learning-oriented implementation of Python web scraping, data processing, and visualization techniques. -
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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 asynchronously and efficiently. PSpider defines a set of modules and utility classes that help developers manage crawling tasks, filter URLs, and process scraped content. By organizing crawling tasks into structured stages, PSpider allows developers to build scalable spiders while keeping the codebase relatively compact and readable. Its modular design also makes it easier to extend the framework with additional features or integrate it into existing Python projects. -
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sperm
Collection of reverse engineering articles curated for learning
sperm is a curated repository that gathers a collection of notable articles related to reverse engineering and software analysis. It primarily acts as a knowledge archive where previously published technical posts are compiled and organized for easier access and long-term reference. These articles originate from multiple technical communities and platforms and are exported into Markdown format to maintain a consistent and readable structure. sperm focuses on educational material that explores reverse engineering techniques, mobile analysis, and related technical discussions. Its goal is to preserve useful learning resources and make them easier for researchers, students, and security enthusiasts to browse in a single location. sperm emphasizes that the materials are intended strictly for study and technical exchange rather than misuse. By maintaining these articles in a version-controlled repository, the content remains accessible and easier to navigate. -
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This project is a java web spider (web crawler) with the ability to download (and resume) files. It is also highly customizable with regular expressions and download templates. All backend functionalities are also available in a separate library.
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Web data extraction (web data mining, web scraping) tool. It leverages well proved XML and text processing techologies in order to easely extract useful data from arbitrary web pages.
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twitch-batch-downloader
Automate the download of entire Twitch.tv channels
Automate the download of entire Twitch.tv channels with its metadata. Save each Twitch video into its own folder, with date and time values, video ID, stream metadata, frame screenshot, .ts parts list and sha256 hash. Keep the original ts files and generate mp4 files from them. It requires a shell and some command line utilities. See README.md for details in the Code/git section. -
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OpenWebSpider is an Open Source multi-threaded Web Spider (robot, crawler) and search engine with a lot of interesting features!
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🚀 Discover AI Web Scraper! 🚀 Tired of copying and pasting data from websites? I developed a desktop application with Electron and Gemini AI to extract structured data easily and efficiently! 🤖✨
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Web Spider, Web Crawler, Email Extractor
Free Extracts Emails, Phones and custom text from Web using JAVA Regex
In Files there is WebCrawlerMySQL.jar which supports MySql Connection Free Web Spider & Crawler. Extracts Information from Web by parsing millions of pages. Store data into Derby Database and data are not being lost after force closing the spider. - Free Web Spider , Parser, Extractor, Crawler - Extraction of Emails , Phones and Custom Text from Web - Export to Excel File - Data Saved into Derby and MySQL Database - Written in Java Cross Platform Also See Free email Sender : https://sourceforge.net/projects/gitst-free-email-ender/ Please install Microsoft OpenJDK to start the application https://www.microsoft.com/openjdk -
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Yet another web crawler? Yes, but this ones uses the full power of regular expressions to accept or reject, examine or ignore, save or refuse pages. You also use MIME types to do all this. Powerful and flexible.
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The DeDuplicator is an add-on module (plug-in) for the web crawler Heritrix. It offers a means to reduce the amount of duplicate data collected in a series of snapshot crawls.
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Scraper of Death is a web scraper. Multiple Scraping Methods Requests + BeautifulSoup (fast, lightweight) Selenium (JavaScript support, dynamic content)
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A Java implementation of a flexible and extensible web spider engine. Optional modules allow functionality to be added (searching dead links, testing the performance and scalability of a site, creating a sitemap, etc ..
