5 Best Google Maps Scrapers for Claude in 2026 (MCP-Ready)

TL;DR

Why MCP Support Is the Only Dimension That Matters

Claude cannot browse the web on its own. Every real-world data action — search, scrape, enrich — happens through tools the MCP server exposes.

A Google Maps scraper with no MCP server means one thing: you run the scraper separately, export a CSV, paste it into Claude, and manually bridge the gap. That workflow breaks the moment you want Claude to generate the search query, decide which businesses to pursue, and trigger the enrichment — all in one session.

MCP changes this. When a scraper exposes an MCP server, Claude calls it as a tool — passing query parameters, receiving structured JSON, and chaining the result into the next tool call without any manual step in between. Anthropic's Model Context Protocol now has over 5,000 community servers, making external data sources — including scrapers — directly accessible to Claude without custom integration code.

The comparison below ranks five scrapers on MCP availability first. Pricing and field depth are secondary if Claude cannot reach the tool natively.

For a deeper look at how the SyncGTM MCP works, see the Google Maps scraper MCP setup guide.

1. SyncGTM

SyncGTM is a GTM intelligence platform with a native MCP server that bundles Maps scraping, website email extraction, and phone discovery under one Claude tool call. It is the only option in this list where the full workflow — search, scrape, enrich — runs inside a single Claude prompt.

The MCP exposes three tools that chain naturally: google_maps_listings pulls business data by query and location, scrape_emails_from_website visits each business URL and extracts published emails, and scrape_phones_from_website does the same for phone numbers.

No CSV export. No external webhook. Claude receives the results as structured JSON and can immediately format them as a table, filter by rating, or pass names to a lead enrichment tool — all in the same session.

Pros

• Native MCP — zero integration work; configure once in Claude Desktop or Claude Code
• Three chained tools: google_maps_listings, scrape_emails_from_website, scrape_phones_from_website
• Fields returned: name, address, phone, website, rating, review count, category, open hours
• One prompt turns a local search into a contactable lead list with emails and phones
• Additional MCP tools for B2B enrichment: find_work_email, find_people, enrich_organization
• Free tier available — 200 credits, no credit card required

Cons

• Primarily built for B2B GTM teams — some purely local-SEO use cases may not need the full platform
• Review text extraction is not included in the base Maps tool

Best for: Sales and marketing teams that want to turn a Google Maps search into a verified lead list — with emails and phones — without leaving Claude.
Pricing: Free tier (200 credits/mo). Paid plans from $49/mo.

2. Apify

Apify Google Maps Scraper is the most widely used third-party Maps scraper — with over 491,000 users and 30 million+ runs recorded on the Apify actor page. It exposes a native MCP server at mcp.apify.com, which means Claude can call it directly without any custom integration.

The MCP endpoint gives Claude access to the full Apify actor library — including the Google Maps Scraper 2026 actor — via the same tool protocol. You configure the MCP server once and Claude can trigger any actor, pass input parameters, and retrieve results as structured JSON.

Data depth is strong. The scraper returns name, address, phone, website, category, rating, review count, popular times, open hours, photos, social profiles, and price range. Email extraction requires a separate enrichment actor, which adds cost but keeps the pipeline within the Apify ecosystem.

Pros

• Native MCP server at mcp.apify.com — Claude connects directly
• Richest field set: popular times, photos, social profiles, price range
• 491,000+ users and proven reliability at scale
• $5/mo free credits — no credit card on free tier
• Scheduling, webhooks, and dataset storage built in

Cons

• Email discovery requires a separate actor — adds cost and an extra Claude tool call
• Starter tier costs $4 per 1,000 places — expensive for large extractions
• Geographic precision can be loose — results may include listings outside the target ZIP

Best for: Teams that need the richest field set at scale and are comfortable managing separate actors for enrichment.
Pricing: $5/mo free credits. $1.50–$4 per 1,000 places depending on tier.

3. Outscraper

Outscraper offers the deepest field set of any Maps scraper on this list — 40+ fields per business including firmographics, decision-maker data, and business status filters. It operates on a pay-as-you-go model at $3 per 1,000 records.

The catch for Claude users: Outscraper has no native MCP server. You interact with it through a REST API, a web interface, or a Python client. Connecting it to Claude requires either building an MCP wrapper around the API or running Outscraper separately and passing results to Claude manually.

For teams already using Outscraper for its field depth and enrichment menu, the API wrapper approach is manageable. But if you are starting fresh and want Claude to own the workflow, Outscraper adds friction that SyncGTM or Apify avoid.

Pros

• 40+ fields per business — the most field-complete option
• Enrichment menu includes firmographics and decision-maker contacts
• Active and closed business status filters
• $3 per 1,000 records — competitive pay-as-you-go pricing
• 500 businesses/month free tier

Cons

• No native MCP server — Claude cannot call it directly without a custom wrapper
• No built-in scheduling
• Slowest extraction of the major scrapers — rate limits cap throughput
• Lower scale ceiling than Apify or Bright Data

Best for: Teams that want maximum field depth and are willing to build an API wrapper to connect Outscraper to Claude.
Pricing: Free tier (500 records/mo). $3 per 1,000 records pay-as-you-go.

4. Bright Data

Bright Data is the infrastructure-grade option — proxy network, browser API, and ready-made Google Maps datasets designed for enterprise scraping at scale. It starts at $1.50 per 1,000 records via its SERP API, dropping to $1.00 at $1,999/mo spend.

Bright Data has no native MCP server. Claude cannot call it directly. You either use the Scraping Browser API — which requires custom automation code — or download pre-built datasets from the Bright Data Marketplace and pass them to Claude as context.

For engineers running high-volume Google Maps extraction as part of a larger data pipeline, Bright Data is the most reliable infrastructure choice. For sales or marketing teams who want Claude to run the workflow end-to-end, the integration overhead makes it the wrong starting point.

Pros

• Lowest cost at high volume: $1.00–$1.50 per 1,000 records
• Best-in-class proxy infrastructure — handles Google's anti-scraping at scale
• Pre-built Google Maps datasets on the Marketplace — no scraping setup required
• GDPR-compliant data collection practices

Cons

• No native MCP server — significant integration work to use with Claude
• No built-in email or phone discovery from listing websites
• Minimum $500 monthly commitment on enterprise plans
• Overkill for teams scraping fewer than 100,000 records/month

Best for: Engineering teams running high-volume Maps extraction as part of a larger data pipeline, not for Claude-native workflows.
Pricing: $1.50 pay-as-you-go, $1.00/1K at $1,999/mo spend.

5. cryptoken Google Maps Scraper MCP

The cryptoken Google Maps Scraper MCP is an open-source MCP server that exposes Google Maps search as a Claude-callable tool. It is available for free, works with Claude Desktop and Claude Code, and returns structured business data without requiring an API key.

Under the hood it uses Puppeteer and headless Chromium to simulate a browser session. This means you pay only for proxy costs if you route requests through a residential proxy — there are no per-record fees.

The trade-off is maintenance. Google changes its Maps UI regularly. Selectors break. The open-source repo has no SLA, and production reliability depends entirely on the community or your own patches. It is also limited to the fields visible in the Maps UI — no enrichment, no email extraction from listing websites.

Pros

• Native MCP — zero configuration for Claude Desktop / Claude Code
• Free to self-host — only cost is compute and optional proxy fees
• Returns: name, address, phone, website, rating, review count, category, hours
• No API key required for Maps access

Cons

• Maintenance burden — Google Maps UI changes break selectors periodically
• No email or phone discovery from listing websites
• No SLA or support — community-maintained only
• Requires Node.js + Docker setup to run locally
• Blocked more frequently without residential proxies — CAPTCHA rate higher than paid services

Best for: Developers who want a free, self-hosted MCP server for Maps scraping and are comfortable maintaining it.
Pricing: Free. Proxy costs apply if you route through a residential provider.

Side-by-Side Comparison

The SyncGTM One-Prompt Workflow

This is what separates SyncGTM from every other option on this list: the full journey from a local business search to a contactable lead list happens inside one Claude prompt.

Here is a real example you can run after configuring the SyncGTM MCP:

Claude calls google_maps_listings first, gets back 20 businesses with their website URLs. It then calls scrape_emails_from_website for each URL in parallel, collecting any emails published on those sites. Finally it calls scrape_phones_from_website to catch any phone numbers that differ from what Maps listed.

The result is a structured table with name, phone, email, website, and rating — ready to import into a CRM or pass to an outreach tool.

No other scraper on this list delivers that in a single Claude prompt. Apify gets close — it has MCP and can run an email enrichment actor — but the workflow requires two separate actor invocations and manual result joining. SyncGTM handles the chaining automatically.

You can also extend the prompt to push results directly to your CRM. SyncGTM's MCP includes tools for HubSpot and Salesforce integration — so the same session that scraped the listings can create the CRM records.

How to Choose a Google Maps Scraper for Claude

• →Want the full workflow — search, scrape, enrich — in one Claude prompt: Use SyncGTM. It is the only tool that chains Maps scraping with email and phone discovery natively.
• →Need the richest field set (popular times, photos, reviews) at scale: Use Apify. Its MCP server at mcp.apify.com works with Claude out of the box and its actor library covers most downstream enrichment needs.
• →Need 40+ fields including firmographics and are willing to build an API wrapper: Use Outscraper. Pay-as-you-go pricing and the deepest field set make it the best data-quality pick if you can handle the integration.
• →Running 100,000+ records/month as part of a data engineering pipeline: Use Bright Data. Its infrastructure handles Google's anti-scraping at enterprise scale. Claude is not the right orchestrator for this volume.
• →Developer who wants a free self-hosted option: Use the cryptoken Google Maps Scraper MCP. Free, MCP-native, and zero API fees — but budget time for maintenance when Google changes its Maps UI.

Final Verdict

The defining question is simple: can Claude call it without writing integration code? For most teams, the answer narrows the list to three options — SyncGTM, Apify, and cryptoken MCP.

SyncGTM wins for sales and marketing teams. The combination of native MCP, chained email and phone discovery, and the wider B2B enrichment toolkit means you can go from "find plumbers in Austin" to a CRM-ready contact list in a single session. No other tool on this list closes that loop without manual steps.

Apify is the right call when field depth matters more than workflow simplicity — if you need popular times, photos, or review data at scale, it earns its place. The cryptoken MCP is a solid starting point for developers who want to experiment without paying per-record fees.

Outscraper and Bright Data are excellent tools. They are just not built for Claude-native workflows. If you are building a Claude agent that sources local business leads and turns them into pipeline, start with SyncGTM's free tier and see how far one prompt gets you.

This post was last reviewed in September 2026.