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How do I pull data from Facebook?

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How do I pull data from Facebook?

Just go to the Settings section of Facebook (the arrow next to the question mark, top right) and click on “download my data” at the bottom of the page called “General Account Settings.” Then you’ll make your request and await Facebook’s compiling of your data, which is delivered via an email link.

How do you crawl data in Python?

To extract data using web scraping with python, you need to follow these basic steps:

  1. Find the URL that you want to scrape.
  2. Inspecting the Page.
  3. Find the data you want to extract.
  4. Write the code.
  5. Run the code and extract the data.
  6. Store the data in the required format.

How do I extract data from a Facebook group using Python?

Here are the steps for it.

  1. Go to link developers.facebook.com, create an account there.
  2. Go to link developers.facebook.com/tools/explorer.
  3. Go to “My apps” drop down in the top right corner and select “add a new app”.
  4. Again get back to the same link developers.facebook.com/tools/explorer.
  5. Then, select “Get Token”.
READ:   Is an iPhone harder to hack?

How do I log into Facebook using Python?

Facebook Login using Python: FB Login Example

  1. Step 1) Open Firefox.
  2. Step 2) Navigate to Facebook.
  3. Step 3) Search & Enter the Email or Phone field & Enter Password.
  4. Step 4) Click Login.

Can I crawl LinkedIn?

Each Linkedin account in your scraping pool will also require a unique residential IP address. The short answer is yes. You can crawl 1M Linkedin profiles with many Linkedin accounts with residential IP addresses.

Is crawling LinkedIn legal?

Moving forward with Mantheos. Here at Mantheos we conduct LinkedIn scraping legally, scraping data that is freely and publicly available on LinkedIn. This means that we collect data that is accessible to the general public.