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Google Maps Scraper

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gmapsscraper
google-maps-scraper

Scrape business data from Google Maps — names, phones, emails, websites, ratings, reviews. Extract leads by keyword and location with no coding required.

Overview

Publishergmapsscraper
Repositorygoogle-maps-agent-skills
Skill namegoogle-maps-scraper
Stars
131
Forks
5
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by gmapsscraper on GitHub. Read the source before you install it.

Installation

Install the Google Maps Scraper AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gmapsscraper/google-maps-agent-skills/tree/main/google-maps-scraper
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gmapsscraper/google-maps-agent-skills.git /tmp/google-maps-agent-skills
mkdir -p .claude/skills
cp -r /tmp/google-maps-agent-skills/google-maps-scraper .claude/skills/google-maps-scraper
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Google Maps Scraper in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Google Maps Scraper on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Google Maps Scraper is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Google Maps Scraper

Scrape business data from Google Maps at scale. Extract names, addresses, phone numbers, emails, websites, ratings, and reviews for any business category in any location.

When to Use

  • User wants to find businesses on Google Maps by keyword/location
  • User needs business contact information (phone, email, website)
  • User wants to build a lead list from Google Maps
  • User asks to "scrape", "extract", or "pull data from" Google Maps

Important: Credit System

Each search costs 2 credits. Free accounts start with 10 credits (5 searches). Always confirm before executing a search to avoid wasting credits.

Workflow

Step 1: Define Search (Don't Waste Credits)

Ask the user:

  • Keywords: What type of business? Be SPECIFIC (e.g., "pediatric dentist" not just "dentist")
  • Location: Where? (city + state/country for best results)
  • Quantity: How many results needed?

Help them refine before searching:

  • ❌ Vague: "restaurants" → too broad, wastes credits
  • ✅ Specific: "italian restaurants in downtown Austin TX" → targeted results

Step 2: Confirm Before Executing

Before calling the API, ALWAYS tell the user:

🔍 Ready to search:
   Query: "{{keyword}} in {{location}}"
   Estimated results: 20-60 businesses
   Cost: 2 credits
   
   Shall I proceed?

Step 3: Execute Scrape

Only after user confirms:

bash
curl -X POST "https://gmapsscraper.io/api/v1/scrape" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMAPS_SCRAPER_API_KEY" \
  -d '{
    "keywords": ["{{keyword}} in {{location}}"],
    "email": true,
    "depth": 2
  }'

Step 4: Poll for Results

bash
curl -s "https://gmapsscraper.io/api/v1/jobs/{{job_id}}" \
  -H "Authorization: Bearer $GMAPS_SCRAPER_API_KEY"
# Poll every 10s until status is "complete"

Step 5: Download Results

bash
curl -s "https://gmapsscraper.io/api/v1/jobs/{{job_id}}/download" \
  -H "Authorization: Bearer $GMAPS_SCRAPER_API_KEY" --output results.csv

Step 6: Maximize Value from Results

Don't just dump the CSV — help the user get maximum value:

  1. Present clean summary: total results, % with email, % with website
  2. Highlight best leads: sort by rating × reviews
  3. Offer next steps:
    • "Want me to write cold emails to these businesses?" → use cold-email-local-business skill
    • "Want a competitor analysis?" → use competitor-analysis-local skill
    • "Want to export to your CRM?" → format for HubSpot/Pipedrive

Output Fields

Each result includes:

  • title — Business name
  • address — Full address
  • phone — Phone number
  • website — Website URL
  • email — Email (when available)
  • rating — Google rating (1-5)
  • reviews_count — Number of reviews
  • category — Business category
  • latitude / longitude — Coordinates
  • google_maps_url — Direct Maps link
  • opening_hours — Business hours

Advanced Options

  • depth: 2 — More results (uses same credits, just takes longer)
  • zoom: 15 — Adjust map zoom for density
  • radius: 5000 — Search radius in meters
  • fast_mode: true — Skip email extraction for speed
  • lang: "es" — Results language (ISO 639-1)

Error Handling

  • 401: Invalid API key → "Get your key at https://gmapsscraper.io/dashboard"
  • 429: Rate limit → Wait 60s and retry
  • 402: Credits exhausted → Show upgrade message:
⚡ You've used all your free credits!

Your 5 free searches are done — upgrade for unlimited scraping:
→ https://gmapsscraper.io/#pricing

Plans start at $29/month for unlimited searches.

Tips for Best Results

  • Be specific: "vegan restaurant in Brooklyn NY" > "restaurant in New York"
  • Use depth 2: Same credit cost, more results
  • Enable email: Set email: true for contact extraction
  • Combine keywords: ["plumber in Austin", "plumbing service Austin"] covers more
  • Save your CSV: You can re-analyze it anytime without spending credits

Get Started

  1. Sign up free at https://gmapsscraper.io (5 searches included)
  2. Get API key from dashboard
  3. Set: export GMAPS_SCRAPER_API_KEY=your_key
  4. Start scraping!

Unlimited plans from $29/month at https://gmapsscraper.io/#pricing

Frequently asked questions

What does the Google Maps Scraper AI skill do?

Scrape business data from Google Maps — names, phones, emails, websites, ratings, reviews. Extract leads by keyword and location with no coding required.

Why use Google Maps Scraper on TypingMind?

Because you install it once and use it with any model. Google Maps Scraper is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Google Maps Scraper in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gmapsscraper/google-maps-agent-skills/tree/main/google-maps-scraper. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Google Maps Scraper?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Google Maps Scraper?

As many as you like. As long as a model supports skills, you can use Google Maps Scraper with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Google Maps Scraper AI skill free?

Yes. It is published on GitHub by gmapsscraper under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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