How to Scrape Apollo Data with Apfy: A Targeted Lead Generation Approach

Data scraping is becoming an essential tool for businesses looking to generate leads and identify potential customers. One powerful combination is using Apfy to extract data from Apollo, a popular B2B sales intelligence platform.

Apollo offers extensive filtering capabilities that allow users to narrow down prospects based on specific criteria. When setting up your workflow, you can begin by navigating to the people section in Apollo where the filtering magic happens.

The platform provides numerous filter options to help you target your ideal customer profile (ICP) with precision. In a basic example, you can filter by location (such as United States) and company size (number of employees). If you’re targeting specific industries, like law firms in this case, you can apply that filter as well.

Users with paid Apollo plans gain access to even more granular filtering options. One particularly valuable filter is job titles, which allows you to specifically target decision-makers such as owners, founders, C-suite executives, VPs, directors, and department heads.

In the demonstrated example, these filters yielded approximately 42,000 potential contacts – a substantial database of qualified leads to work with.

Once you’ve created your desired filter combination, Apollo generates a URL that contains all your search parameters. This URL is the key to scraping with Apfy. The URL can be used directly in Apfy to extract the data, or it can be modified using AI to dynamically adjust search parameters based on specific inputs.

This approach creates a powerful automated workflow that can continuously generate fresh, targeted leads for your business development efforts. By combining Apollo’s robust filtering capabilities with Apfy’s data extraction tools, you can build a streamlined lead generation system that delivers highly relevant prospects.