Web scraping has become an essential tool for businesses and researchers to gather data from various websites. It’s used literally everywhere, from travel websites to car and real estate salesmen.
Open-source web scraping tools are gaining popularity: they are free, easy to use, and provide users with flexibility and customization. Here’s a roundup of the best web scraping tools open source available in 2023:
Scrapy is an open-source and collaborative web crawling framework written in Python. It allows users to extract structured data from websites and can handle large amounts of data at once. Scrapy has built-in support for handling common web scraping tasks like logging in, handling cookies, and following redirects. It is also highly customizable, allowing users to write their own extensions.
Beautiful Soup is a Python library that is commonly used for web scraping purposes. It can extract data from HTML and XML files and has a simple syntax. Beautiful Soup is easy to learn and is often used in conjunction with other Python libraries like Requests for sending HTTP requests.
Puppeteer is a Node.js library that provides a high-level API for controlling Chrome or Chromium browsers. It can be used for web scraping and automation tasks. Puppeteer provides a clean and simple API for navigating and scraping websites.
ParseHub is a visual web scraping tool that allows users to extract data from websites without writing code. It has a point-and-click interface that can handle complex websites and can export data in various formats like CSV, Excel, or JSON. ParseHub also provides scheduling options for automating scraping tasks.
Apache Nutch is an open-source web crawler that can be used for web scraping. It is written in Java and is highly scalable, making it a good choice for large-scale web scraping projects. Apache Nutch also has built-in support for distributed computing, making it easier to handle large amounts of data.
Octoparse is a cloud-based web scraping tool that enables users to extract data from websites, PDFs, and APIs without any coding skills. With its point-and-click interface, users can easily navigate through websites and select the data they want to scrape. It also offers a scheduling feature and can export data in various formats, including CSV, Excel, and JSON.
PySpider is a web scraping and web crawling framework written in Python. It provides a web interface for managing scraping tasks and can handle both static and dynamic websites. PySpider also has built-in support for distributed computing, making it easier to handle large amounts of data.
WebHarvy is an amazing web scraping tool that allows you to extract data from websites without any coding knowledge. It has a user-friendly interface that allows you to easily navigate through websites. You can extract all sorts of data such as text, images, and URLs. The best part is that WebHarvy offers scheduling options, so you can set it up to run automatically at regular intervals.
Protect Your Spiders
Each of these has its own strengths and weaknesses, so define what fits your job better first. Also, keep in mind the legal and ethical implications of web scraping, learn free tools to sharpen your skills and use trusted scraper protection like GoLogin browser to protect your scraping activities.
Thanks to a top-tier custom privacy engine and great API options, GoLogin is massively used by scrapers to speed up work and freely scrape websites with even the most sophisticated protection like Cloudflare, Meta, Amazon, TikTok and others. Using a tool like GoLogin can help you avoid detection and ensure the commercial success of your scraping efforts.
Enjoy productive scraping!
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