Open Source Web Scrapers
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Web Scrapers
View 147 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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Patch Management and Vulnerability Remediation Software | Action1Action1 reinvents patching with an infinitely scalable, highly secure, cloud-native platform configurable in 5 minutes — it just works and is always free for the first 100 endpoints, with no functional limits. Featuring unified OS and third-party patching with peer-to-peer patch distribution and real-time vulnerability assessment with no VPN needed, it enables autonomous endpoint management that preempts ransomware and security risks, all while eliminating costly routine labor. Trusted by thousands of enterprises managing millions of endpoints globally, Action1 is certified for SOC 2 and ISO 27001.
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SysAid multi-layered ITSM solutionSysAid is an ITSM, Service Desk and Help Desk software solution that integrates all of the essential IT tools into one product. Its rich set of features include a powerful Help Desk, IT Asset Management, and other easy-to-use tools for analyzing and optimizing IT performance.
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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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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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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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CyberScraper 2077
A Powerful web scraper powered by LLM | OpenAI, Gemini & Ollama
CyberScraper 2077 is not just another web scraping tool – it's a glimpse into the future of data extraction. Born from the neon-lit streets of a cyberpunk world, this AI-powered scraper uses OpenAI, Gemini and LocalLLM Models to slice through the web's defenses, extracting the data you need with unparalleled precision and style. -
Integrate in minutes with our email API and trust your emails reach the inbox | SendGridEmail is the backbone of your customer engagement. The Twilio SendGrid Email API is the email service trusted by developers and marketers for time-savings, scalability, and delivery expertise. Our flexible Email API and proprietary Mail Transfer Agent (MTA), intuitive console, powerful features, and email experts make it easy to ensure all your email gets delivered in seconds and without interruption.
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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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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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SecretAgent
The web scraper that's nearly impossible to block
SecretAgent is a headless browser that’s nearly impossible to detect. It achieves this by emulating real users. And it has powerful auto-replay functionality that lets you create and debug scripts in record setting time. -
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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 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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Video SDKs | TwilioBuild real-time, high-quality video applications with the power of Twilio's serverless cloud infrastructure and video SDKs, APIs, and integrations
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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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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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PHPScraper
A universal web-util for PHP
PHPScraper is a universal web-scraping util for PHP, built with simplicity in mind. The goal is to make xPath Selectors optional and avoid the commonly needed boilerplate code. Just create an instance of PHPScraper, go to a website, and start collecting data. All scraping functionality can be accessed either as a function call or a property call. For example, the title can be accessed in two ways. Many common use cases are covered already. You can find prepared extractors for various HTML tags, including interesting attributes. You can filter and combine these to your needs. In some cases there is an option to get a simple or detailed version. PHPScraper can assist in collecting feeds such as RSS feeds, sitemap.xml-entries and static search indexes. This can be useful when deciding on the next page to crawl or building up a list of pages on a website. -
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WebMagic
A scalable web crawler framework for Java
WebMagic is a scalable crawler framework. It covers the whole lifecycle of crawler, downloading, url management, content extraction and persistent. It can simplify the development of a specific crawler. WebMagic is a simple but scalable crawler framework. You can develop a crawler easily based on it. WebMagic has a simple core with high flexibility, a simple API for html extracting. It also provides annotation with POJO to customize a crawler, and no configuration is needed. Some other features include the fact that it is multi-thread and has distribution support. WebMagic is very easy to integrate. Add dependencies to your pom.xml. WebMagic use slf4j with slf4j-log4j12 implementation. If you customized your slf4j implementation, please exclude slf4j-log4j12. You can write a class implementation of PageProcessor. -
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serverless-chrome
Run headless Chrome/Chromium on AWS Lambda
Serverless Chrome contains everything you need to get started running headless Chrome on AWS Lambda (possibly Azure and GCP Functions soon). The aim of this project is to provide the scaffolding for using Headless Chrome during a serverless function invocation. Serverless Chrome takes care of building and bundling the Chrome binaries and making sure Chrome is running when your serverless function executes. In addition, this project also provides a few example services for common patterns (e.g. taking a screenshot of a page, printing to PDF, some scraping, etc.). Why? Because it's neat. It also opens up interesting possibilities for using the Chrome DevTools Protocol (and tools like Chromeless or Puppeteer) in serverless architectures and doing testing/CI, web-scraping, pre-rendering, etc. You must configure your AWS credentials either by defining AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environmental variables, or using an AWS profile. -
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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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Crawlab
Distributed web crawler admin platform for spiders management
Golang-based distributed web crawler management platform, supporting various languages including Python, NodeJS, Go, Java, PHP and various web crawler frameworks including Scrapy, Puppeteer, Selenium. Please use docker-compose to one-click to start up. By doing so, you don't even have to configure MongoDB database. The frontend app interacts with the master node, which communicates with other components such as MongoDB, SeaweedFS and worker nodes. Master node and worker nodes communicate with each other via gRPC (a RPC framework). Tasks are scheduled by the task scheduler module in the master node, and received by the task handler module in worker nodes, which executes these tasks in task runners. Task runners are actually processes running spider or crawler programs, and can also send data through gRPC (integrated in SDK) to other data sources, e.g. MongoDB. -
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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. -
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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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Ulixee Hero
The web browser built for scraping
It's the first modern headless browsers designed specifically for scraping instead of just automated testing. Hero provides access to the W3C DOM specification without the need for Puppeteer's complicated evaluate callbacks and multi-context switching. We've recreated a fully compliant DOM directly in NodeJS allowing you bypass the headaches of previous scraper tools. The powerful Chrome engine sits under the hood, allowing for lightning fast rendering. Emulators make it easy to disguise your script as practically any browser. -
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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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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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finvizfinance
Finviz analysis python library
finvizfinance is a package that collects financial information from FinViz website. Stock charts, fundamental & technical information, insider information and stock news. Forex charts and performance. Crypto charts and performance. Screener and Group provide data frames for comparing stocks according to different filters and trading signals. Getting information (fundament, description, outer rating, stock news, inside trader) of an individual stock. -
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html-metadata
MetaData html scraper and parser for Node.js (supports Promises
The aim of this library is to be a comprehensive source for extracting all HTML-embedded metadata. Currently, it supports Schema.org microdata using a third-party library, a native BEPress, Dublin Core, Highwire Press, JSON-LD, Open Graph, Twitter, EPrints, PRISM, and COinS implementation, and some general metadata that doesn't belong to a particular standard (for instance, the content of the title tag, or meta description tags). Planned is support for RDFa, AGLS, and other yet unheard-of metadata types. Contributions and requests for other metadata types are welcome! You can also pass an options object as the first argument containing extra parameters. Some websites require the user-agent or cookies to be set in order to get the response. -
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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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soup
Web Scraper in Go, similar to BeautifulSoup
Web Scraper in Go, similar to BeautifulSoup. soup is a small web scraper package for Go, with its interface highly similar to that of BeautifulSoup. Pointer containing the pointer to the current html node. NodeValue containing the current html node's value, i.e. the tag name for an ElementNode, or the text in case of a TextNode. Error containing an error in a struct if one occurs, else nil is returned. A detailed text explanation of the error can be accessed using the Error() function. A field Type in this struct of type ErrorType will denote the kind of error that took place.
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.