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Using Beautiful Soup and Requests library to scrape real estate data.

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WebScraping

Using Beautiful Soup and Requests library to scrape real estate data.

Directions

When using the code, edit the main.py and add in your cookie after you login to the MLS. Also include your user-agent into the variable provided.

After entering that information, run the main.py file and watch the progress get printed out to the console.

Once you run the .py file, two csv's will be created. One will be a list of all urls that need to be scraped, and the second will be the csv with the scraped data.

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Using Beautiful Soup and Requests library to scrape real estate data.

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