web-scraping

Effortlessly Extract Contact Information from Websites

31 Jul 2025
Effortlessly Extract Contact Information from Websites

In today's digital landscape, having access to accurate contact information is crucial for businesses, marketers, and developers alike. The Website Contact Information Scraper is a powerful tool designed to streamline the process of gathering essential contact details from websites. This service allows you to efficiently extract emails, phone numbers, and social media profile links from a website's root domain, making it an invaluable resource for anyone looking to enhance their outreach efforts or build comprehensive contact lists.

The benefits of utilizing this scraper are manifold. It saves time by automating the data extraction process, reduces the risk of human error, and supports batch processing of multiple domains simultaneously. Whether you’re looking to compile a list of potential leads, verify existing contact information, or conduct market research, this tool simplifies the task, allowing you to focus on strategic initiatives.

Prerequisites

Before you begin, ensure you have a Cognitive Actions API key and a basic understanding of making API calls.

Extract Website Contact Details

The Extract Website Contact Details action efficiently retrieves critical contact information from a specified website. This includes emails, phone numbers, and links to social media profiles such as Facebook, TikTok, Instagram, and Twitter. It supports batch processing for up to 20 domains per request, enabling large-scale data collection. The action also offers options for domain-matched email extraction and external contact matching, providing flexibility based on your needs.

Input Requirements

To use this action, you'll need to provide the following input parameters:

  • query: This string specifies the domain you wish to scrape (e.g., "wsgr.com"). This parameter is required.
  • matchEmailDomain: A boolean value indicating if the email domain should match the domain being queried (defaults to false).
  • externalMatchingEnabled: A boolean value that determines if external matching is enabled (defaults to false).

Expected Output

The output will consist of a structured response containing:

  • The queried domain.
  • Extracted emails along with their sources.
  • Phone numbers with their respective sources.
  • Social media profile links.

Use Cases for this Specific Action

This action is particularly useful in various scenarios:

  • Lead Generation: Quickly gather contact details for potential clients or partners from their websites.
  • Market Research: Compile information about competitors or industry players by extracting their contact data.
  • Data Verification: Validate existing contact information by cross-referencing with the latest data from the web.
  • Outreach Campaigns: Ease the process of reaching out to multiple contacts by automating data collection.

```python
import requests
import json

# Replace with your actual Cognitive Actions API key and endpoint
# Ensure your environment securely handles the API key
COGNITIVE_ACTIONS_API_KEY = "YOUR_COGNITIVE_ACTIONS_API_KEY"
# This endpoint URL is hypothetical and should be documented for users
COGNITIVE_ACTIONS_EXECUTE_URL = "https://api.cognitiveactions.com/actions/execute"

action_id = "5fcf6270-d174-4ece-a983-b7c6fd16e8ce" # Action ID for: Extract Website Contact Details

# Construct the exact input payload based on the action's requirements
# This example uses the predefined example_input for this action:
payload = {
  "query": "wsgr.com"
}

headers = {
    "Authorization": f"Bearer {COGNITIVE_ACTIONS_API_KEY}",
    "Content-Type": "application/json",
    # Add any other required headers for the Cognitive Actions API
}

# Prepare the request body for the hypothetical execution endpoint
request_body = {
    "action_id": action_id,
    "inputs": payload
}

print(f"--- Calling Cognitive Action: {action.name or action_id} ---")
print(f"Endpoint: {COGNITIVE_ACTIONS_EXECUTE_URL}")
print(f"Action ID: {action_id}")
print("Payload being sent:")
print(json.dumps(request_body, indent=2))
print("------------------------------------------------")

try:
    response = requests.post(
        COGNITIVE_ACTIONS_EXECUTE_URL,
        headers=headers,
        json=request_body
    )
    response.raise_for_status() # Raise an exception for bad status codes (4xx or 5xx)

    result = response.json()
    print("Action executed successfully. Result:")
    print(json.dumps(result, indent=2))

except requests.exceptions.RequestException as e:
    print(f"Error executing action {action_id}: {e}")
    if e.response is not None:
        print(f"Response status: {e.response.status_code}")
        try:
            print(f"Response body: {e.response.json()}")
        except json.JSONDecodeError:
            print(f"Response body (non-JSON): {e.response.text}")
    print("------------------------------------------------")



## Conclusion
The **Website Contact Information Scraper** is a robust solution for developers and businesses looking to streamline their contact data collection processes. By efficiently extracting vital information from websites, it empowers users to enhance their outreach strategies and conduct thorough market analyses. As you explore the capabilities of this tool, consider how it can be integrated into your workflows to maximize efficiency and accuracy in your data-gathering efforts. Start leveraging the power of web scraping today!
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