How to scrape data from ZoomInfo using Python?

by fred.nader , in category: Real Estate Investing , a year ago

How to scrape data from ZoomInfo using Python?

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1 answer

by matteo.zboncak , 10 months ago


To scrape data from ZoomInfo using Python, you can follow these steps:

  1. Install the necessary libraries: BeautifulSoup: to extract data from HTML or XML. Requests: to send HTTP requests and interact with the website. Selenium: (optional) to interact with JavaScript-heavy websites.

You can install these libraries using pip, with the following command:

pip install beautifulsoup4 requests selenium

  1. Import the necessary libraries:
import requests
from bs4 import BeautifulSoup

  1. Send a GET request to the ZoomInfo website with the desired URL:
url = ""  # Replace with your target URL
response = requests.get(url)

  1. Parse the HTML content using BeautifulSoup:
soup = BeautifulSoup(response.content, "html.parser")

  1. Use BeautifulSoup to locate and extract the desired data from the parsed HTML. Find elements by HTML tags, classes, or attributes. Extract text or attributes from the elements.

For example, to extract the company name:

company_name = soup.find("h1", class_="company-name").text
print("Company Name:", company_name)

Note: To access specific details, you may need to inspect the HTML structure of the ZoomInfo page and modify the above code accordingly.

  1. Repeat steps 3-5 for other data you want to scrape from ZoomInfo.

Keep in mind that scraping websites may be subject to legal and ethical considerations. Make sure to review and respect the website's terms of service, robots.txt file, and any applicable data protection laws.