Google Maps Shared List Scraper

📍 Google Maps Shared List Scraper

🚀 Turn any Google Maps shared list into a structured dataset. Paste short links like maps.app.goo.gl/..., extract 40+ fields per place, pull emails from websites, photos, full weekly hours, and top reviews. No API key, no OAuth, no scraping pipeline to maintain.

🕒 Last updated: 2026-04-23 · 📊 40+ fields · 📧 Email extraction · 📷 Photos · 🕒 Hours · ⭐ Reviews · 🚫 No auth required

🎁 Paid plan adds

The Google Maps Shared List Scraper resolves shared maps.app.goo.gl URLs, parses the underlying list payload, and enriches every place with full Google Maps detail data. You get names, categories, addresses, coordinates, phone numbers, websites, ratings, photos, weekly hours, accessibility attributes, and on paid plans, emails scraped from the place website plus the top 10 reviews.

Shared Google Maps lists are the way people bookmark restaurants, hotels, cafes, and travel spots. They are trivial to build and share, but Google offers no export button, no public API, and no bulk lookup. This Actor closes that gap. Paste one URL or one hundred, get a clean CSV or JSON, and move on.

📋 What the Google Maps Shared List Scraper does

One compact workflow turns a shared list link into a structured dataset:

• 🔗 Short link resolver. Expands maps.app.goo.gl/... and long google.com/maps/@.../data=... URLs.
• 📌 List parser. Reads place IDs, CIDs, coordinates, and list metadata directly from the shared payload.
• 🔍 Place enricher. Fetches the full Google Maps detail record for every place in parallel.
• 🧹 Deduplicator. Merges the same place across multiple lists and preserves every source list reference.
• 📧 Email extraction. Visits the place website and pulls publicly listed contact emails (paid plan).
• ⭐ Review collector. Captures the top 10 visible reviews with author, rating, text, and date (paid plan).
• 📷 Photo gallery. Full photo set per place including the owner-submitted hero image (paid plan).
• 🕒 Weekly hours. Seven-day opening schedule plus current open/closed status (paid plan).

Each output row carries an imageUrl, a Google Maps URL, latitude, longitude, plus code, timezone, category hierarchy, accessibility flags, and source list tracking so you always know where a place came from.

💡 Why it matters: a curated Google Maps list is the closest thing to a vetted recommendation. Turning that recommendation into a workable spreadsheet or CRM import used to mean copy-paste or custom scraping. This Actor makes the whole list downloadable in one click.

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from a pasted shared link to a downloaded dataset with emails and reviews.

⚙️ Input

Example: a single Tokyo food list.

{
    "listUrls": ["https://maps.app.goo.gl/MMjvFNWpUTjiupHc9"],
    "maxPlacesPerList": 100,
    "outputFormat": "csv"
}

Example: merge three city guides into one deduplicated dataset.

{
    "listUrls": [
        "https://maps.app.goo.gl/MMjvFNWpUTjiupHc9",
        "https://maps.app.goo.gl/abc123xyz",
        "https://maps.app.goo.gl/def456uvw"
    ],
    "maxPlacesPerList": 200,
    "maxConcurrency": 8,
    "outputFormat": "json"
}

⚠️ Good to Know: the list itself must be shared publicly. Private lists and lists shared only with a specific Google account cannot be read. Emails, full hours, photo galleries, and reviews are paid-plan fields. Free runs return the core 20 fields for up to 10 places per list.

📊 Output

Each place record carries 40+ fields covering identity, location, contact, ratings, media, hours, attributes, and source tracking. Download as CSV, Excel, JSON, or XML.

🧾 Schema

📦 Sample records

{
    "placeId": "11gdkpshx0",
    "name": "BONGEN COFFEE Tokyo Ginza",
    "address": "BONGENCOFFEE Ginza, 2 Chome-16-3 Ginza, Chuo City, Tokyo 104-0061, Japan",
    "streetAddress": "2 Chome-16-3 Ginza",
    "city": "Chuo City",
    "state": "Tokyo",
    "postalCode": "104-0061",
    "countryCode": "JP",
    "latitude": 35.6710713,
    "longitude": 139.7708038,
    "plusCode": "8Q7XMQCC+C8",
    "timezone": "Asia/Tokyo",
    "rating": 4.4,
    "category": "Coffee shop",
    "categories": ["Coffee shop", "Cafe", "Coffee roastery", "Coffee stand"],
    "phone": "+81 3-6264-3988",
    "website": "https://bongen-shirafushi-coffee.com/",
    "websiteDomain": "bongen-shirafushi-coffee.com",
    "currentStatus": "Closed · Opens 10 AM",
    "isOpen": false,
    "attributes": { "wheelchairAccessibleEntrance": false },
    "heroPhotoUrl": "https://lh5.googleusercontent.com/.../photo.jpg",
    "sourceLists": ["https://maps.app.goo.gl/MMjvFNWpUTjiupHc9"],
    "sourceListNames": ["Tokyo"],
    "url": "https://www.google.com/maps/search/?api=1&query=35.6710713,139.7708038",
    "scrapedAt": "2026-04-21T17:29:32.844Z"
}

{
    "placeId": "11sv4_qrqs",
    "name": "Dashi no Toriko",
    "address": "Dashi no Toriko, ペンタビル 1F 3 Chome-14-16 Roppongi, Minato City, Tokyo 106-0032, Japan",
    "city": "Minato City",
    "state": "Tokyo",
    "postalCode": "106-0032",
    "countryCode": "JP",
    "latitude": 35.6627008,
    "longitude": 139.7343056,
    "plusCode": "8Q7XMP7M+3P",
    "timezone": "Asia/Tokyo",
    "rating": 3.8,
    "category": "Ramen restaurant",
    "categories": ["Ramen restaurant"],
    "website": "https://www.instagram.com/dashinotorico/",
    "websiteDomain": "instagram.com",
    "attributes": { "wheelchairAccessibleEntrance": false },
    "heroPhotoUrl": "https://lh3.googleusercontent.com/.../photo.jpg",
    "sourceLists": ["https://maps.app.goo.gl/MMjvFNWpUTjiupHc9"],
    "sourceListNames": ["Tokyo"],
    "url": "https://www.google.com/maps/search/?api=1&query=35.6627008,139.7343056",
    "scrapedAt": "2026-04-21T17:29:32.842Z"
}

{
    "placeId": "1td1pzb1",
    "name": "Mori Mori Tei",
    "address": "Mori Mori Tei, 115 Oiwake, Karuizawa, Kitasaku District, Nagano 389-0115, Japan",
    "streetAddress": "115 Oiwake",
    "city": "Karuizawa",
    "state": "Kitasaku District, Nagano",
    "postalCode": "389-0115",
    "countryCode": "JP",
    "latitude": 36.3359222,
    "longitude": 138.535553,
    "plusCode": "8Q8W8GPP+96",
    "timezone": "Asia/Tokyo",
    "rating": 4.1,
    "category": "Steak house",
    "categories": ["Steak house"],
    "phone": "+81 267-44-1822",
    "currentStatus": "Closed · Opens 11:20 AM Thu",
    "isOpen": false,
    "sourceLists": ["https://maps.app.goo.gl/MMjvFNWpUTjiupHc9"],
    "sourceListNames": ["Tokyo"],
    "url": "https://www.google.com/maps/search/?api=1&query=36.3359491,138.535506",
    "scrapedAt": "2026-04-21T17:29:32.843Z"
}

✨ Why choose this Actor

📊 A curated Google Maps list represents hours of human vetting. Exporting it into a CRM or spreadsheet turns that trust signal into a repeatable asset.

📈 How it compares to alternatives

Pick this Actor when the source of truth is already a shared list and you want the whole thing downloaded in one click.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Google Maps Shared List Scraper page on the Apify Store.
3. 🎯 Paste list URLs. Drop one or more maps.app.goo.gl/... links into the input form.
4. 🚀 Run it. Click Start and let the Actor resolve, parse, and enrich every place.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

💼 Business use cases

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🔌 Automating Google Maps Shared List Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Daily or weekly refreshes keep downstream CRMs and content databases in sync with the source list.

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

🧩 How does it work?

Paste one or more shared list URLs. The Actor expands any maps.app.goo.gl/... short link, reads the underlying list payload (place IDs and coordinates), and fetches the full Google Maps detail record for every place in parallel. Results are deduplicated across lists and returned as a structured dataset.

🔗 Which URL formats are supported?

Short links in the form https://maps.app.goo.gl/... and full list URLs in the form https://www.google.com/maps/@.../data=.... Anything you can share from the Google Maps app or website should resolve.

🔒 Does the list have to be public?

Yes. Only lists shared publicly (anyone with the link) can be read. Lists shared privately with specific Google accounts are not accessible.

📧 How does email extraction work?

On paid plans, the Actor visits the place website and pulls any publicly listed contact email from the homepage and common contact pages. Only publicly exposed addresses are captured.

⭐ Can I get reviews?

Yes, on paid plans. The Actor returns the top 10 visible reviews per place with author name, star rating, text, and published date.

🕒 Do I get weekly business hours?

Yes, on paid plans. The full 7-day schedule is returned in the businessHours array. Free plans still see the currentStatus field (for example, Closed · Opens 10 AM).

🔁 What if the same place appears in multiple lists?

The Actor deduplicates automatically. The merged record keeps every originating list in the sourceLists and sourceListNames arrays so you know which lists contributed.

🌐 Do I need a Google API key?

No. The Actor works entirely off public list data and public Google Maps pages. No Google Cloud project, no OAuth, no billing setup.

⏰ Can I schedule regular runs?

Yes. Use Apify Schedules to re-run this Actor on any cron interval (hourly, daily, weekly) and keep a downstream CRM or spreadsheet in sync with the source list.

💳 Do I need a paid Apify plan?

No. The free plan is enough for testing (10 places per list). A paid plan adds emails, reviews, full hours, full photo galleries, and lifts the per-list cap to 500 places.

🔁 What happens if a run fails?

Apify retries transient errors automatically. If a run still fails, inspect the log in the Runs tab, adjust the input, and re-run. Partial datasets from failed runs are preserved.

🆘 What if I need help?

Our support team is here to help. Contact us through the Apify platform or use the Tally form linked below.

🔌 Integrate with any app

Google Maps Shared List Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe place data into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh place data into your product backend, or alert your team in Slack.

🔗 Recommended Actors

• 💼 Google Jobs Scraper - Extract job postings aggregated from Google Jobs
• 📱 Google Play Store Scraper - App metadata, ratings, and reviews from Google Play
• 📰 Google News Scraper - Structured news articles from Google News
• 📣 Google Ads Scraper - Ad creatives and advertiser data from the Google Ads transparency library
• 🏨 TripAdvisor Reviews Scraper - Hotel, restaurant, and attraction reviews from TripAdvisor

💡 Pro Tip: browse the complete ParseForge collection for more location-data scrapers.

🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Google LLC. Google, Google Maps, and related marks are trademarks of Google LLC. Only publicly accessible data from shared Google Maps lists is collected. Use responsibly and in line with applicable law and the terms of the services you consume.