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Scrape AngelList for Company or Profile Data | PromptCloud
 

Scrape AngelList for Company or Profile Data

Fundraising can be tough, especially if you’re not very familiar with the startup scene. Irrespective of how you approach it, the first step remains the same- compiling a list of prospective investors to pitch your idea. As you might already know, AngelList is a great place to find potential investors. However, manually scrolling through thousands of profiles is inefficient.  This is where web scraping comes to our rescue. By employing a web crawler bot to extract investor profiles, you can save time and speed your quest for investors. Here’s how to efficiently extract investor data from AngelList using our web scraping solution.

Scrape data from angellistInvestors or market research firms can extract company details or individual profile information from AngelList for various use cases. For example, investors who are looking for startups to invest in can scrape thousands of company details and run it through an analytics system to identify promising startups. This will ease your search and help you make better decisions.

Data points to be extracted

From company pages

  • Company name
  • Description
  • Location
  • Tags
  • Number of employees
  • Social network links
  • Founders’ names
  • Funding info
  • Board members’ names

Individual pages

  • Profile name
  • Bio
  • Tags
  • Location
  • Education details
  • Experience

How web scraping works

Web scraping is a computer technique for extracting large amounts of information from the web in a structured format. This is done by programming a web crawling setup to extract the required data points from AngelList. Here is a brief description of various processes involved in web data extraction:

Crawler setup

Once we receive the data points to be extracted from AngelList and other details like the frequency of crawls, data delivery format and mode, we program them into the crawler setup. The crawler setup takes about 3 days to complete.

Deduplication and cleansing

Once the crawler is deployed, the data starts flowing in. The initial data is typically crude and needs some refining before it can be consumed. Deduplication is a process done on the data dump to eliminate duplicate records, if any are present. This is followed by cleansing, which removes the unwanted elements like HTML tags and text that got extracted along with the required data.

Structuring

Since the data extracted is not always in a machine-readable format, it needs to be given a proper structure before it can be used in an analytics system or database. Structuring is the final process and it makes the data ready-to-consume.

Data delivery

The data delivery formats and methods are just as customizable as our crawling solution. You can choose between XML, JSON and CSV for data formats and get the data via our API, Amazon S3, Dropbox, Box or FTP.

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