Agent skill · Data & Analytics

google-maps-api-skill

This skill helps users automatically scrape business data from Google Maps using the BrowserAct Google Maps API. Agent should proactively trigger this skill for needs like finding restaurants in a specific city, extracting contact info of dental clinics, researching local competitors, collecting addresses of coffee shops, generating lead lists for specific industries, monitoring business ratings and reviews, getting opening hours of local services, finding specialized stores (e.g., Turkish-style restaurants), analyzing business categories in a region, extracting website links from local busine

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill google-maps-api-skill --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: yes
Path: solutions/lead-generation/google-maps-api-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Google Maps Automation Scraper Skill ## 📖 Introduction This skill leverages BrowserAct's Google Maps API template to provide a one-stop business data collection service. It extracts structured details directly from Google Maps, including business names, categories, contact info, ratings, and more. Simply provide the search keywords and location bias to get clean, actionable data. ## ✨ Features 1. **No Hallucinations**: Pre-set workflows avoid AI generative hallucinations, ensuring stable and precise data extraction. 2. **No Captcha Issues**: No need to handle reCAPTCHA or other verification challenges. 3. **No IP Restrictions**: No need to handle regional IP restrictions or geofencing. 4. **Faster Execution**: Tasks execute faster compared to pure AI-driven browser automation solutions. 5. **Cost-Effective**: Significantly lowers data acquisition costs compared to high-token-consuming AI solutions. ## 🔑 API Key Setup Before running, check the `BROWSERACT_API_KEY` environment variable. If not set, do not take other measures; ask and wait for the user to provide it. **Agent must inform the user**: > "Since you haven't configured the BrowserAct API Key, please visit the [BrowserAc

What's inside
Steps it walks through
  1. 📖 Introduction
  2. ✨ Features
  3. 🔑 API Key Setup
  4. 🛠️ Input Parameters
  5. 🚀 Usage
  6. ⏳ Execution Monitoring
  7. 📊 Data Output
  8. ⚠️ Error Handling & Retry
  9. 🌟 Typical Use Cases
Ships with 1 file
  • scripts/google_maps_api.py
Commands it runs
Example call
python -u ./scripts/google_maps_api.py "keywords" "language" "country"
More from skills
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About this skill
What does the google-maps-api-skill skill do?

This skill helps users automatically scrape business data from Google Maps using the BrowserAct Google Maps API. Agent should proactively trigger this skill for needs like finding restaurants in a specific city, extracting contact info of dental clinics, researching local competitors, collecting addresses of coffee shops, generating lead lists for specific industries, monitoring business ratings and reviews, getting opening hours of local services, finding specialized stores (e.g., Turkish-style restaurants), analyzing business categories in a region, extracting website links from local busine

How do I install it?

Run `npx skills add browser-act/skills --skill google-maps-api-skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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