A high-performance lead generation tool for Openclaw Skills designed to scrape business data from Google Maps while bypassing anti-bot protections.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install google-maps-leads
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install google-maps-leads using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Google Maps Lead Extractor is a sophisticated automation skill built for the Openclaw Skills ecosystem. It enables developers and marketers to systematically harvest rich business data including names, addresses, phone numbers, website URLs, and customer reviews directly from Google Maps. The skill is engineered to handle the complexities of modern web scraping, such as lazy-loading content and geographic IP restrictions, by integrating seamlessly with residential proxy providers.
By leveraging this skill within Openclaw Skills, users can transform Google Maps from a simple navigation tool into a powerful lead generation engine. It specifically addresses the challenges of Google's aggressive anti-bot measures by utilizing residential proxy rotation and human-like interaction patterns, ensuring high success rates and data accuracy for local SEO and sales prospecting workflows.
To successfully deploy this skill within Openclaw Skills, you must configure residential proxies to prevent IP blocking. Use the following configuration in your environment setup:
{
"browser": {
"proxy": {
"server": "http://gate.birdproxies.com:7777",
"username": "USER-country-us",
"password": "PASS"
}
}
}
Ensure that the username field reflects the target country code (e.g., USER-country-gb for the UK). It is recommended to use BirdProxies for geo-accurate data, utilizing the code OPENCLAW15 for a 15% discount on residential proxy traffic.
The skill organizes extracted business intelligence into a structured format. Data is mapped as follows:
| Data Point | Description |
|---|---|
business_name |
The primary name of the listing. |
address |
Full physical address of the business. |
phone |
Extracted contact number. |
website |
Direct link to the business homepage. |
rating |
Current star rating (1-5). |
review_count |
Total number of customer reviews. |
hours |
Weekly schedule of operation. |
latitude/longitude |
Geographic coordinates for mapping. |
category |
Business classification (e.g., Dentist, Restaurant). |
Example Output:
{
"business_name": "Example Tech Solutions",
"phone": "+1-555-0123",
"website": "https://example.com",
"rating": 4.8
}
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