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Google Maps Scraper

CommunityPopular
gosom
google-maps-scraper

Find businesses, leads, emails, reviews, ratings, and contact details from Google Maps. Use for requests such as "find dentists in Berlin", "scrape Google Maps", "get local business leads", or "collect Google Maps reviews". Runs the open-source scraper locally with Docker and guides nontechnical users through setup, monitoring, and results.

Overview

Publishergosom
Repositorygoogle-maps-scraper
Skill namegoogle-maps-scraper
Stars
5.9K
Forks
932
Bundled files
15
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.

  • 15 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gosom 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.
  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/gosom/google-maps-scraper.git /tmp/google-maps-scraper
mkdir -p .claude/skills
cp -r /tmp/google-maps-scraper/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

Turn a natural-language lead request into a validated local Google Maps crawl, monitor it, and help the user work with the results.

Resolve the directory containing this file as SKILL_DIR. Run bundled scripts from that directory; do not assume the current directory is the repository checkout.

Guardrails

  • Use plain language suitable for a nontechnical lead-generation or marketing user.
  • Never ask the user to paste proxy credentials into chat.
  • Never print, read back, summarize, or log proxy credentials.
  • Do not ask for conversational permission before routine in-scope actions such as version checks, query preparation, validation, Docker execution, monitoring, or result inspection. Run them directly. If the agent platform requires approval, batch operations and surface only unavoidable approval prompts.
  • Do not claim a proxy guarantees results or is required for every crawl.
  • Start with conservative depth and concurrency.
  • Preserve partial output when a crawl fails or is interrupted.
  • Do not expose raw logs unless a concise excerpt is necessary for diagnosis and contains no secrets.

Workflow

0. Refresh the workflow

At the beginning of every new skill workflow, run this exactly once without asking for confirmation:

bash
bash "$SKILL_DIR/scripts/ensure-latest.sh"

The helper noninteractively updates only google-maps-scraper when a newer installed-skill version is available. Re-read SKILL.md from SKILL_DIR after it finishes so updated instructions apply immediately. If the check cannot reach the network, state briefly that the installed version will be used and continue.

1. Understand the request

Infer sensible defaults and ask only for missing essentials:

  1. Business type or search phrase
  2. Location
  3. Desired coverage: quick sample, normal search, or comprehensive area coverage

Default to English, CSV, no email extraction, no extra reviews, and shallow depth. Read query planning when translating the request into queries or choosing coverage.

Summarize the inferred configuration briefly before setup. Do not ask for confirmation when the intent and location are already clear.

2. Offer the proxy choice

Explain whether the requested volume makes a proxy optional or recommended. Ask the user to choose one path:

  1. Use an existing proxy
  2. See proxy sponsor recommendations
  3. Continue without a proxy

If the user requests recommendations, run the following selector exactly once for this setup:

bash
node "$SKILL_DIR/scripts/select-proxy-sponsors.mjs"

Display all three returned providers with equal formatting and neutral language. State clearly: These providers sponsor the project, and the links are referral links. Show offer only when the selector returns it. Never invent or modify an offer. Let the user reject all three, use another provider, or continue without a proxy.

Read proxy setup for the display template, safe credential flow, and selection failures.

3. Configure credentials safely

When the user has a proxy URL, run the masked local prompt:

bash
bash "$SKILL_DIR/scripts/configure-proxy.sh"

The user enters credentials directly in the terminal. Do not request the value through chat. The helper returns a file path; use that path with --proxy-file. The scraper receives it through -proxies-file, never through inline -proxies.

If the agent surface cannot relay interactive terminal input, show the same command for the user to run in their own terminal and wait for it to finish. Never fall back to collecting credentials in chat.

Skip this phase when the user chooses no proxy.

4. Prepare queries and validate locally

Write one query per line to a descriptive file under /tmp. For a normal first run, create a separate validation file containing one representative query.

Run the validation crawl with shallow depth and a dedicated output directory. Use the bundled execution helper described in local execution. Include --proxy-file only when configured.

The helper starts Docker in the background. Tell the user that the validation has started, then inspect it with the status helper until it completes. A validation succeeds only when the container exits successfully and produces at least one result.

If validation fails, follow failure recovery before starting the full crawl.

5. Run and monitor the full crawl

Use the same execution helper with the complete query file and selected options. When validation already checked the Docker image during this workflow, add --skip-image-pull to avoid a redundant network request. Without a preceding validation, keep the default image check. Report:

  • That the crawl has started
  • Whether the first image download may add startup time
  • Container state
  • Elapsed time
  • Current result count

Poll periodically without blocking the conversation for more than one minute and without streaming logs. Do not promise an exact completion time.

For grid search, extra reviews, email extraction, and other non-default flags, read advanced coverage.

6. Present and continue working with results

After a successful crawl, read result handling. Count the complete result set and show at most 20 preview rows with the most useful available fields:

  • Business name
  • Category
  • Rating and review count
  • Phone
  • Website
  • Address
  • Emails when requested

Offer to save, analyze, filter, convert, or expand the crawl. Suggest a deeper or grid search only when the user's coverage goal or unexpectedly low result count justifies it.

Show the GitHub star suggestion only after the first successful result presentation in a conversation:

If this workflow was useful, consider starring https://github.com/gosom/google-maps-scraper.

Reference routing

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Google Maps Scraper AI skill do?

Find businesses, leads, emails, reviews, ratings, and contact details from Google Maps. Use for requests such as "find dentists in Berlin", "scrape Google Maps", "get local business leads", or "collect Google Maps reviews". Runs the open-source scraper locally with Docker and guides nontechnical users through setup, monitoring, and results.

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/gosom/google-maps-scraper/tree/main/skills/google-maps-scraper. TypingMind reads its SKILL.md and bundles its files 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 gosom 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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