{"id":30021080,"url":"https://github.com/mpschrader/mpi-webcrawlling-tutorium","last_synced_at":"2026-05-20T07:09:08.082Z","repository":{"id":305052610,"uuid":"119029294","full_name":"mpSchrader/MPI-Webcrawlling-Tutorium","owner":"mpSchrader","description":"Material for a single day web crawling workshop in Python","archived":false,"fork":false,"pushed_at":"2019-10-20T18:06:22.000Z","size":177,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-07-18T04:15:48.844Z","etag":null,"topics":["python","tutorial","webcrawling"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MPI-Webcrawlling-Tutorium\n\n**(Work in Progress)**\nThis Git repository contains all materials for the Webcrawling Tutorium held at the Max-Planck-Institute for Innovation and Competition.\n\n### Prerequisites\nTo be able to participate in the workshop please ensure your machine meets all prerequisites.\n\n- **Anaconda:** You should have Anaconda for Python 3.6 installed. \\\nInstallation Instructions: https://conda.io/docs/user-guide/install/windows.html \\\nDownload Page: https://www.anaconda.com/download/#windows\n- **PyCharm:** Install PyCharm Community Edition or as a PhD Student the Professional Edition, which get for free as a student.\\\nPyCharm Download: https://www.jetbrains.com/pycharm/ \\\nStudent Registration: https://www.jetbrains.com/student/ \n- **Python Packages:** Install the following packages using anaconda ([Instructions](https://conda.io/docs/user-guide/tasks/manage-pkgs.html)): pandas, requests, beautifulsoup4, scrapy \n\n### Workshop Content\n\n1. **Software Setup**\\\n-Why do we use Python and Anaconda?\\\n-Basics in Python?\\\n-What is a Juypter Notebook?\n2. **Introduction to web crawling** \\\n-HTML Basics and how websites linked \\\n-Types of Http Requests\n3. **Low Level Web Crawling with requests and beautifulsoup**\\\nUsing a real world example we will explore:\\\n-How to get a website with Python\\\n-How to extract information from a website\\\n-How to automatically walk through a website\n4. **High Level Web Crawling with Scrapy** \\\nNow we will transfer the low level code from the previous section \ninto a simpler structure using the Package Scrapy.\n5. **Discussion and Questions**\n\n### Further Readings\nIn this section you will find a list of helpful resources to write more sophisticated web crawler.\n- General Python Guide [Ref](http://docs.python-guide.org/en/latest/)\n- Web Crawling Best Practices [Ref1](https://www.promptcloud.com/blog/web-scraping-best-practices), [Ref2](http://www.botscraper.com/blog/Follow-these-best-practices-while-web-crawling-and-scraping)\n- Multithreading in Python [Ref](https://www.toptal.com/python/beginners-guide-to-concurrency-and-parallelism-in-python)\n- Natural Language Processing [Ref](http://www.nltk.org/book/ch01.html)\n- Python Data Science Handbook: Essential Tools for working with Data [Ref](https://smile.amazon.de/Python-Data-Science-Handbook-Essential/dp/1491912057/)\n\n**Contact**\\\nIn case you have an further topics to discus feel free to get in touch with me via [LinkedIn](https://www.linkedin.com/in/max-philipp-schrader/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmpschrader%2Fmpi-webcrawlling-tutorium","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmpschrader%2Fmpi-webcrawlling-tutorium","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmpschrader%2Fmpi-webcrawlling-tutorium/lists"}