Open Source Web Scrapers
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Web Scrapers
View 178 business solutionsBrowse free open source Web Scrapers and projects below. Use the toggles on the left to filter open source Web Scrapers by OS, license, language, programming language, and project status.
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WFDownloader App
Free batch downloader for image, wallpaper, video, audio, document,
Use as an image gallery, wallpaper, audio/music, video, document, and other media bulk downloader from supported websites. Also use to download sequential website urls that have a certain pattern (e.g. image01.png to image100.png). Also use app's built-in site crawler for advanced link search or extraction. There is also special support for forum media and open directory downloading. It's a programmable downloader and also works with password protected sites. Say goodbye to downloading one by one. Go to the Help menu or check out website to get started. Note that this cross-platform version requires Java (minimum version Java 8) to be installed on your Operating System. For non-java required OS specific versions, check app's website. -
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KemonoDownloader
Kemono Downloader - A cross-platform Python app built with PyQt6
Welcome to Kemono Downloader, a versatile Python-based desktop application built with PyQt6, designed to download content from Kemono.su. This tool enables users to archive individual posts or entire creator profiles from services like Patreon, Fanbox, and more, supporting a wide range of file types with customizable settings and advanced features. -
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Scrapy
A fast, high-level web crawling and web scraping framework
Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD. Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring and automated testing. -
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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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UI.Vision RPA
Open-Source RPA Software (formerly Kantu)
The UI Vision RPA software is the tool for visual process automation, codeless UI test automation, web scraping and screen scraping. Automate tasks on Windows, Mac and Linux. The UI Vision RPA core is open-source with enterprise security. The free and open-source browser extension can be extended with local apps for desktop UI automation. UI.Vision RPA's computer-vision visual UI testing commands allow you to write automated visual tests with UI.Vision RPA - this makes UI.Vision RPA the first and only Chrome and Firefox extension (and Selenium IDE) that has "👁👁 eyes". A huge benefit of doing visual tests is that you are not just checking one element or two elements at a time, you’re checking a whole section or page in one visual assertion. The visual UI testing and browser automation commands of UI.Vision RPA help web designers and developers to verify and validate the layout of websites and canvas elements. -
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Web Scraping for Laravel
Laravel adapter for Roach, the complete web scraping toolkit for PHP
This is the Laravel adapter for Roach, the complete web scraping toolkit for PHP. Easily integrate Roach into any Laravel application. The Laravel adapter mostly provides the necessary container bindings for the various services Roach uses, as well as making certain configuration options available via a config file. The Laravel adapter of Roach registers a few Artisan commands to make out development experience as pleasant as possible. Roach ships with an interactive shell (often called Read-Evaluate-Print-Loop, or Repl for short) which makes prototyping our spiders a breeze. We can use the provided roach:shell command to launch a new Repl session. -
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jsoup
Java library for working with real-world HTML
jsoup is a Java library for working with real-world HTML. It provides a very convenient API for fetching URLs and extracting and manipulating data, using the best of HTML5 DOM methods and CSS selectors. jsoup implements the WHATWG HTML5 specification, and parses HTML to the same DOM as modern browsers do. jsoup is designed to deal with all varieties of HTML found in the wild; from pristine and validating, to invalid tag-soup; jsoup will create a sensible parse tree. The parser will make every attempt to create a clean parse from the HTML you provide, regardless of whether the HTML is well-formed or not. You have HTML in a Java String, and you want to parse that HTML to get at its contents, or to make sure it's well formed, or to modify it. The String may have come from user input, a file, or from the web. -
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Firecrawl
Turn entire websites into LLM-ready markdown or structured data
Crawl and convert any website into LLM-ready markdown or structured data. Built by Mendable.ai and the Firecrawl community. Includes powerful scraping, crawling, and data extraction capabilities. Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown or structured data. We crawl all accessible subpages and give you clean data for each. No sitemap is required. -
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Catbird Linux
Linux for content creation, web scraping, coding, and data analysis.
Catbird Linux is a USB pluggable Live Linux operating system built for media creation, web scraping, and software coding. It is the daily driver you want for retrieving data, making videos or podcasts, and making software tools to automate the repetitive tasks. It is ready for work in Python, Lua, and Go languages, with numerous packages for web scraping or downloading data via API calls. Using Catbird Linux, it is possible to accomplish in depth stock market analysis, track weather trends, follow social media sentiment, or do other tasks in data science. The system is programmer friendly, ready for creating and running the tools you use to measure and understand your world. In addition to search and GPT tools, you have what you need to take notes, write reports or presentations, record and edit audio or video. Under the hood, the system is tuned to be fast and responsive on modest equipment, with a real time kernel and lightweight tiling / tabbing window manager. -
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changedetection.io
The best free open source website change detection and restock service
Loved by smart shoppers, data journalists, research engineers, data scientists, security researchers, and more. From simply monitoring website pages that have a change (such as watching prices, and restocking notifications), to deep inspection such as PDF text support, JSON and XML monitoring, and extensive text triggers. Monitor out-of-stock products and get alerts when those products are back in stock, get restock alerts via Discord, Slack, email, and many other platforms. Using the browser steps configuration, add basic steps before performing change detection, such as logging into websites, adding a product to a cart, accepting cookie logins, entering dates, and refining searches. Monitor and track PDF file changes, and know when a PDF file has text changes. Know when your favourite product is on sale, or other special deals are announced before anyone else. Detect and monitor changes in JSON API responses. -
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CEF Python
Python bindings for the Chromium Embedded Framework (CEF)
Python bindings for the Chromium Embedded Framework (CEF). CEF Python is an open source project founded by Czarek Tomczak in 2012 to provide Python bindings for the Chromium Embedded Framework (CEF). The Chromium project focuses mainly on Google Chrome application development while CEF focuses on facilitating embedded browser use cases in third-party applications. Lots of applications use CEF control, there are more than 100 million CEF instances installed around the world. There are numerous use cases for CEF. Use it as a modern HTML5 based rendering engine that can act as a replacement for classic desktop GUI frameworks. Think of it as Electron for Python. Embed a web browser widget in a classic Qt / GTK / wxPython desktop application. Use it for automated testing of web applications with more advanced capabilities than Selenium web browser automation due to CEF low level programming APIs. -
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EasySpider
A visual no-code/code-free web crawler/spider
A visual code-free/no-code web crawler/spider, supporting both Chinese and English. -
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rvest
Simple web scraping for R
rvest helps you scrape (or harvest) data from web pages. It is designed to work with magrittr to make it easy to express common web scraping tasks, inspired by libraries like beautiful soup and RoboBrowser. If you’re scraping multiple pages, I highly recommend using rvest in concert with polite. The polite package ensures that you’re respecting the robots.txt and not hammering the site with too many requests. -
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Ayakashi
The next generation web scraping framework
The next-generation web scraping framework. The web has changed. Gone are the days when raw HTML parsing scripts were the proper tool for the job. Javascript and single-page applications are now the norms. Demand for data scraping and automation is higher than ever, from business needs to data science and machine learning. Our tools need to evolve. Ayakashi helps you build scraping and automation systems that are easy to build simple or sophisticated, highly performant, maintainable, and built for change. Ayakashi's way of finding things in the page and using them is done with props and domQL. Directly inspired by the relational database world (and SQL), domQL makes DOM access easy and readable no matter how obscure the page's structure is. Props are the way to package domQL expressions as re-usable structures which can then be passed around to actions or to be used as models for data extraction. -
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BrowserBox
Remote isolated browser API for security
Remote isolated browser API for security, automation visibility and interactivity. Run-on our cloud, or bring your own. Full scope double reverse web proxy with a multi-tab, mobile-ready browser UI frontend. Plus co-browsing, advanced adaptive streaming, secure document viewing and more! But only in the Pro version. BrowserBox is a full-stack component for a web browser that runs on a remote server, with a UI you can embed on the web. BrowserBox lets your provide controllable access to web resources in a way that's both more sandboxed than, and less restricted than, traditional web <iframe> elements. Build applications that need cross-origin access, while delivering complex user stories that benefit from an encapsulated browser abstraction. Since the whole stack is written in JavaScript you can easily extend it to suit your needs. The technology that puts unrestricted browser capabilities within reach of a web app has never before existed in the open. -
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Save For Offline
Android app for saving webpages for offline reading
Android app for saving webpages for offline reading. Save For Offline is an Android app for saving full web pages for offline reading, with lots of features and options. In you web browser selects 'Share', and then 'Save For Offline'. Saves real HTML files which can be opened in other apps/devices. Download & save entire web pages with all assets for offline reading & viewing. Save HTML files in a custom directory. Save in the background, no need to wait for it to finish saving. Night mode, with both a dark theme, and can invert colors when viewing pages (White becomes black and vice-versa). A search of saved pages (By title only for now). User-agent change allows the saving of either desktop or mobile versions of pages. Nice UI for both phones and tablets, with various choices for layout and appearance. -
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Selectolax
Python binding to Modest and Lexbor engines
A fast HTML5 parser with CSS selectors using Modest and Lexbor engines. Selectolax supports two backends: Modest and Lexbor. By default, all examples use the Modest backend. Most of the features between backends are almost identical, but there are still some differences. Currently, the Lexbor backend is in beta and missing some of the features. To use lexbor, just import the parser and use it in the similar way to the HTMLParser. -
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crawlee
A web scraping and browser automation library for Node.js
Crawlee is a web scraping and browser automation library. It helps you build reliable crawlers. Fast. Crawlee won't fix broken selectors for you (yet), but it helps you build and maintain your crawlers faster. When a website adds JavaScript rendering, you don't have to rewrite everything, only switch to one of the browser crawlers. When you later find a great API to speed up your crawls, flip the switch back. It keeps your proxies healthy by rotating them smartly with good fingerprints that make your crawlers look human-like. It's not unblockable, but it will save you money in the long run. Crawlee is built by people who scrape for a living and use it every day to scrape millions of pages. Meet our community on Discord. We believe websites are best scraped in the language they're written in. Crawlee runs on Node.js and it's built in TypeScript to improve code completion in your IDE, even if you don't use TypeScript yourself. -
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crawley
The unix-way web crawler
Crawls web pages and prints any link it can find. Fast HTML SAX-parser (powered by golang.org/x/net/html) Small (below 1500 SLOC), idiomatic, 100% test-covered codebase. Grabs most of useful resources URLs (pics, videos, audios, forms, etc...) Found URLs are streamed to stdout and guaranteed to be unique (with fragments omitted) Scan depth (limited by starting host and path, by default - 0) can be configured. Can crawl rules and sitemaps from robots.txt. Brute mode - scan HTML comments for URLs (this can lead to bogus results) Make use of HTTP_PROXY / HTTPS_PROXY environment values + handle proxy auth. Directory-only scan mode (aka fast-scan) -
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crwlr
Library for Rapid (Web) Crawler and Scraper Development
This library provides kind of a framework and a lot of ready-to-use, so-called steps, that you can use as building blocks, to build your own crawlers and scrapers with. Before diving into the library, let's have a look at the terms crawling and scraping. For most real-world use cases, those two things go hand in hand, which is why this library helps with and combines both. A (web) crawler is a program that (down)loads documents and follows the links in it to load them as well. A crawler could just load actually all links it is finding (and is allowed to load according to the robots.txt file), then it would just load the whole internet (if the URL(s) it starts with are no dead end). Or it can be restricted to load only links matching certain criteria (on same domain/host, URL path starts with "/foo",...) or only to a certain depth. A depth of 3 means 3 levels deep. Links found on the initial URLs provided to the crawler are level 1 and so on. -
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ScrapeGraphAI
Python scraper based on AI
Extracting content from websites and local documents using LLM. ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). Just say which information you want to extract and the library will do it for you. -
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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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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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img2dataset
Easily turn large sets of image urls to an image dataset
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine. Also supports saving captions for url+caption datasets. Opt-out directives: Websites can pass the http headers X-Robots-Tag: noai, X-Robots-Tag: noindex , X-Robots-Tag: noimageai and X-Robots-Tag: noimageindex By default img2dataset will ignore images with such headers. -
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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.
Guide to Open Source Web Scrapers
Open source web scrapers are automated programs that extract data from websites. They typically "scrape" structured datasets from websites, often using automated queries and tools to access specified content. Open source web scrapers are written in programming languages such as Python, JavaScript, Ruby and Perl, and rely on the use of APIs or scripting techniques to get the data they need. The main advantage of an open source approach is that it gives developers unrestricted access to the codebase, allowing them to modify existing features or build new ones with relative ease.
Open source web scrapers can be used for a variety of legitimate purposes such as research, archiving or creating mashups (combinations of different sources). They allow visitors to access content which would otherwise be difficult to obtain due to restrictions imposed by website owners who do not want their material used outside their own sites. Scraping is also used by entrepreneurs looking for market intelligence; marketers engaging in lead generation efforts; competitors comparing prices; and data journalists producing stories based upon publicly available materials.
However, open source web scrapers have also been misused for unethical practices such as scraping personal information without permission or illegally copying copyrighted material without authorization. This has led important companies and organizations like Google, Twitter and eBay take legal action against perpetrators using these tools for malicious activities. Consequently, many governments worldwide have implemented laws requiring users of open source scraping services to seek permission before collecting certain types of private data from websites ownership by third parties.
Open Source Web Scrapers Features
- Easy to Install: Open source web scrapers are often easy to install and require minimal setup. Many open source web scrapers come with pre-packaged code which makes them simple to get up and running quickly.
- Cost Free: The great thing about open source software is that it is free, meaning you are not required to make any payments for its use. This provides a significant cost benefit as compared to commercial programs which can be quite costly.
- Flexible: Another great feature of open source web scrapers is their flexibility in terms of what they can do. Open source programs typically give the user full control over how they want the scraping process to run, allowing the user to customize and tailor the scraper according to their specific needs.
- Secure: Because these programs are open source, developers have access to all aspects of the program’s code, allowing them more control over security measures such as authentication and authorization protocols. This means that using an open source web scraper has additional benefits when it comes to safety, since issues can be addressed quickly by developers directly rather than having waiting for official updates from manufacturers of closed-source software solutions.
- Scalable: Many open-source web scraping tools allow users the capability to easily scale their usage up or down depending upon their needs at any given time without having purchase new licenses or upgrades each time they need more resources or capabilities added on.
What Types of Open Source Web Scrapers Are There?
- Web Crawlers: A web crawler, sometimes referred to as a spider or bot, is an automated script that allows a computer system to traverse the web by reading HTML tags and other web-page components. The crawler will automatically find and collect data from different websites, allowing for information extraction and storage.
- Scrapy: Scrapy is an open source framework designed to make it easier for developers to write code for scraping websites. It provides users with a built-in library of tools for traversing the DOM of any website, extracting data along the way.
- Selenium: Selenium is an open source browser automation tool that supports multiple languages such as Python and Java. It allows users to control a browser in order to executing specific tasks like simulating user interactions on a web page or filling out forms on a website with pre-defined values.
- Beautiful Soup: Beautiful Soup is another type of open source web scraper written in Python. It helps developers parse HTML documents more easily by providing methods like find_all() which can be used to search for specific element types within the document structure.
- PhantomJS: PhantomJS is an open source headless browser which makes it easier to scrape websites without going through the hassle of setting up a browser window each time you need the data. It also offers various features such as validation checks and page timeout settings that help create robust scripts capable of retrieving complex data from any webpage with ease.
- Mechanize: Mechanize is an open-source Python library that enables programmatic interaction with websites via scriptable browsers, making it easy for developers to automate tasks traditionally done manually such as filling out forms or downloading files directly from pages without needing any extra libraries or programs installed on your machine first.
Benefits of Open Source Web Scrapers
- Cost Saving: Open source web scrapers are free to use as compared to buying expensive software. This helps businesses save cost and makes it easier for them to perform web scraping operations without any additional costs.
- Flexibility: The flexibility offered by open source web scrapers is one of the main reasons why they have become so popular in recent times. Users can customize the code according to their needs, which allows them to tailor the scraper according to their specific requirements.
- Automation: Many open source web scrapers provide features which make it easier for users to automate various tedious tasks such as extracting data from websites or collecting prices from multiple ecommerce sites. This helps businesses save time and focus on other important tasks.
- Security: As most open source web scrapers are updated regularly, they do not pose any security risks that other paid versions may present due to outdated versions of software or codebase bugs. Thus, this ensures a secure scraping environment for users and businesses alike.
- Community Support: One of the best advantages of choosing an open source web scraper is having access to a vibrant community of developers who can help you with troubleshooting issues related your project and provide valuable advice when needed.
Who Uses Open Source Web Scrapers?
- Data Scientists: Data scientists leverage web scrapers to extract data from websites and transform that data into analysis-ready datasets.
- Market Researchers: Market researchers use web scrapers to collect massive amounts of online data that can provide insights into consumer behavior, trends, and preferences.
- Freelancers & Consultants: Freelance workers often use web scrapers to automatically retrieve information from the internet for their clients. This allows them to provide more comprehensive services than manually gathering data.
- Journalists & Media Professionals: Journalists often rely on open-source web scrapers when searching for specific information for stories or research projects.
- Software Developers: Software developers can use web scraping tools to access external APIs and make sure their applications stay up-to-date with the latest changes in the market.
- Educators & Students: Students and educators benefit from using open source web scrapers as they allow easier access to a wide range of resources without manual labor or scraping techniques. They can also learn how to develop more sophisticated tools by exploring existing code structures.
How Much Do Open Source Web Scrapers Cost?
Open source web scrapers can be free to use. While they may not have the robust capabilities of a paid option, open source tools are often suitable for basic data extraction needs. Typically, these come in the form of software programs which are available for download at no cost.
The real cost with open source web scrapers is in setting up and managing them. Configuring the software program requires technical expertise and understanding of how web scraping works. Additionally, there is a certain amount of maintenance that needs to be done over time to ensure accuracy and precision in data extraction results. This includes monitoring any changes on the target website as well as writing new scripts if needed.
Overall, open source web scrapers can be great options if you're looking for a low-cost solution that doesn't require a lot of technical know-how or frequent oversight. All that's required is an upfront commitment in terms of time and effort to set it up correctly - then you can start extracting valuable information from websites quickly and easily.
What Software Can Integrate With Open Source Web Scrapers?
Software that can integrate with open source web scrapers includes enterprise applications, content management systems (CMS), big data analytics and visualization tools, and cloud-based services. Enterprise applications such as customer relationship management (CRM) or enterprise resource planning (ERP) systems can use scraped data to provide a better understanding of customers’ needs or to streamline operations. CMS software can be used to input scraped data into websites quickly, easily, and accurately. Big data analytics and visualization tools are capable of taking scraped data from multiple sources and deriving insights from it. Cloud-based services like Google Cloud Storage or Amazon S3 can facilitate storage requirements for large datasets generated by scraping operations.
Open Source Web Scrapers Trends
- Increased Use of Open Source Web Scrapers: Open source web scraping tools are becoming increasingly popular as they are free and relatively easy to use. They can be used to collect large amounts of data quickly, which is useful for businesses that need to track various metrics.
- Growing Popularity: As the use of open source web scrapers has grown, so has their popularity. The open source community provides a wealth of resources and support for users and developers alike, making them more appealing for a wide range of purposes.
- Improved Functionality: Open source web scrapers are constantly being improved and updated, adding new features and making them more efficient. This allows users to customize their scrapers and get the most out of their data-gathering efforts.
- More Security: Open source web scrapers have become more secure as security protocols are continuously being improved. This helps to ensure that private data is protected and that any scraped data is collected in a secure manner.
- Increased Efficiency: With the improved functionality of open source web scrapers, they can usually scrape data faster than traditional solutions. This makes them especially helpful for businesses that need to collect large volumes of data quickly, such as for market research or competitor analysis.
- Lower Cost: Open source web scrapers often require less money than traditional solutions, making them a cost-effective alternative for businesses on a budget. This makes them accessible to smaller companies that may not have the funds to invest in expensive proprietary tools.
How To Get Started With Open Source Web Scrapers
- Getting started with web scraping using open source tools is relatively easy and straightforward. First, you'll want to find an appropriate tool for your specific scraping needs. There is a wide range of scrapping software available in the market, some free and some paid, so it's important to choose one that meets the requirements of your project. Once you have settled on a scraper, the next step is to download and install it on your computer or server. This is usually quite easy as most open-source web scrapers are already packaged in binary formats that make installation a breeze.
- Now it’s time to configure the web scraper. All popular open source web scrapers provide settings to customize how they interact with websites - such as frequency of requests, types of data needed etc. Implementing these settings correctly ensures that information can be collected from target websites without running into issues like getting IP banned or blocked by website owners for excessive requests.
- The next step before actually starting the scraping process is creating a script containing instructions for what websites should be visited (URLs) and how much information from each page should be extracted (CSS selectors). Fortunately, this task can usually be done using point-and-click user interfaces for most open source software options which makes scripting much simpler compared to coding everything manually from scratch every time.
Once your script file is ready, simply run it within the installed web scraper application and wait until all desired data has been harvested. To ensure there are fewer errors while collecting data, you may also have to tweak parameters like crawling speed (number of simultaneous connections), set up proxy rotating services etc. But overall this whole process should not consume more than an hour or two depending on your experience level and familiarity with such scripting tasks.
