Scraping, aggregation, and cleaning of web data on publicly listed companies for a hedge fund.

Web Scraping

A prominent financial services firm (which we cannot reveal) asked us to scrape the web for large amounts of data on a public company and process that data into a format they could use to drive investment decisions.

Given our experience scraping thousands of websites at Yipit, we were well-prepared for the task at hand.

We built a scalable system to parse and standardize data from many different sources of markup.

Here are the problems we solved during this project, none of which were new to us:

We also employed the following techniques:

When working with large companies in the finance industry, data quality and integrity is of paramount importance. That is something we understand and are able to deliver.

Whether you are a financial, consulting, or research firm, we can fulfill your data needs with speed and accuracy.


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