Why Extract Contact Information?

In the era of digital marketing, contact information is a valuable resource. Businesses can use it for a variety of purposes, from building a database of potential clients to growing their network. Email addresses, phone numbers, and social media profiles can all provide important channels for communication and marketing efforts.

Moreover, being able to extract this data from any website allows businesses to target specific industries, niches, or competitors. This can help them understand market trends, analyze competitor strategies, and identify potential customers or partners.

However, extracting contact information from websites can be challenging due to various factors like website structures and privacy measures. But with tool like Autom.dev this becomes a feasible task.

What Will We Extract?

We will extract the following contact information from websites:

• Email addresses
• Phone numbers
• LinkedIn profiles
• Twitter profiles
• Instagram profiles
• Facebook profiles

Example of Extracting Contact Information with Autom.dev

Request :

curl --location --request GET 'https://autom.dev/api/v1/website/email_phone_extractor?query=https://www.tiffany.com/' \
--header 'Content-Type: application/json' \
--header 'x-api-key: <token>'

curl --location --request GET 'https://autom.dev/api/v1/website/email_phone_extractor?query=https://www.tiffany.com/' \
--header 'Content-Type: application/json' \
--header 'x-api-key: <token>'

Response :

{
  "emails": ["service@tiffany.com"],
  "phone_numbers": ["0805 542 326", "212-755-8000", "+33 1 84 82 02 00"],
  "linkedin_profiles": ["https://www.linkedin.com/company/tiffany-and-co/"],
  "twitter_profiles": ["https://twitter.com/TiffanyAndCo?"],
  "instagram_profiles": ["https://www.instagram.com/tiffanyandco/"],
  "facebook_profiles": ["[https://www.facebook.com/apifytech](https://www.facebook.com/Tiffany/)"]
}

{
  "emails": ["service@tiffany.com"],
  "phone_numbers": ["0805 542 326", "212-755-8000", "+33 1 84 82 02 00"],
  "linkedin_profiles": ["https://www.linkedin.com/company/tiffany-and-co/"],
  "twitter_profiles": ["https://twitter.com/TiffanyAndCo?"],
  "instagram_profiles": ["https://www.instagram.com/tiffanyandco/"],
  "facebook_profiles": ["[https://www.facebook.com/apifytech](https://www.facebook.com/Tiffany/)"]
}

Ready to Extract Contact Information? Automate It!

Are you embarking on a project that requires extracting contact information from websites? Or perhaps you're interested in building a robust database of potential leads? Whatever your needs, automation can make the process significantly more efficient.

With Autom.dev, you can automate the extraction of contact information from any website. Autom.dev provides a powerful API that can be used to scrape websites for various types of contact information, including emails, phone numbers, and social media profiles.

Here's an example of how you might use the Autom.dev API in a Python script:

import requests
 
url = "https://autom.dev/api/v1/website/email_phone_extractor"
 
querystring = {"query":"https://www.example.com"}
 
headers = {
    'Content-Type': 'application/json',
    'x-api-key': 'your_automdev_api_key'
}
 
response = requests.request("GET", url, headers=headers, params=querystring)
 
print(response.text)

import requests
 
url = "https://autom.dev/api/v1/website/email_phone_extractor"
 
querystring = {"query":"https://www.example.com"}
 
headers = {
    'Content-Type': 'application/json',
    'x-api-key': 'your_automdev_api_key'
}
 
response = requests.request("GET", url, headers=headers, params=querystring)
 
print(response.text)

This script sends a GET request to the Autom.dev API, specifying the URL of the website you want to scrape. The API returns a JSON object containing all the contact information it was able to find on the website.

You can then use this data in any way that suits your project, whether that's building up a database of potential clients, finding influencers in a particular industry I need to look up information about Autom.dev to ensure the information is accurate.