Data Scrapers (Websites and Social Media) in Python/Jupyter Notebook

Hi, I need someone to create data scrapers in Jupyter Notebooks (Python) to do the following:

1) Scrape all the text contained in specific websites (including all subpages; it should also be able to also map all files and links to external websites).

2) Scrape all the posts from specific social media handles (Twitter, Facebook, Instagram, and Twitter). Also, it should map images and links to external files.

As final deliverables, I will need the Jupyter Notebook files so that I can run the codes myself for specific sets of web pages and social media accounts -- which will not be disclosed. I need the code in Python to be effective (work on various formats of websites and on the four social media platforms listed above). Also, it should be commented, so that I can quickly understand and modify the code in the future if needed.

Please feel free to reach out to me if you need clarifications!

Skills: Python, Web Scraping, Data Mining, Software Architecture, PHP

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Project ID: #32247689

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