How to build your own LinkedIn Profile Scraper in 2022

This page summarizes the projects mentioned and recommended in the original post on dev.to
hardware-buttons scrape-images linkedin-bot

CodeRabbit: AI Code Reviews for Developers
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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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  1. linkedin_scraper

    This is the 2022 version of the linkedin scraper (by yokwejuste)

    The full source code available on GitHub, feel free to give me a star, create issues, make pull requests and lets promote the opensource communnity.

  2. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

    CodeRabbit logo

  3. CPython

    The Python programming language

    Python

  4. virtualenv

    Virtual Python Environment builder

    Python is the chosen language for this tutorial and as you can guess some precautions should be done to make sure that the environment is setup correctly and the main OS I'll use is Ubuntu(a Linux distro) virtual environment is a tool that helps you to isolate your code from the rest of the system. It is a good idea to create a virtual environment for your project.

  5. murder

    Large scale server deploys using BitTorrent and the BitTornado library (by ervinb)

    Web scraping is mostly used on sites with big data like Google, Amazon or Twitter. As a whole web scraping is refers to the extraction of data from a website. This information is collected and then exported into a format that is more useful for the user mostly csv file though some other formats are also possible like json.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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