Web-scraping in Python I.

As previously stated, I’ve had some experience with using tweepy and python to extract data via twitter’s api. This project, however, dispenses with twitter altogether. Some weeks ago, I was lucky enough to find three books from the early eighteenth century in amnesty international bookstore on Mill Road, Cambridge.

A quick google later suggested a _large_ investment. But early modern books are rare, their appearance on the market volatile, and so keeping track of their price and judging when to sell is difficult.

This project aims to collect several year’s worth of data to make these decisions smarter.

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