Google Maps List Scraper — Shared Lists to CSV, Phones, Emails avatar

Google Maps List Scraper — Shared Lists to CSV, Phones, Emails

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from $1.00 / 1,000 place exporteds

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Google Maps List Scraper — Shared Lists to CSV, Phones, Emails

Google Maps List Scraper — Shared Lists to CSV, Phones, Emails

Google Maps shared list scraper (maps.app.goo.gl): export saved places to CSV with name, note, phone, website, rating, hours, photos, and filters. Optional newest reviews and website emails. Accepts short links, full list URLs, or a place CID. No API key. JSON or CSV out.

Pricing

from $1.00 / 1,000 place exporteds

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(0)

Developer

Muhamed Didovic

Muhamed Didovic

Maintained by Community

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Bookmarked

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Total users

8

Monthly active users

3 days ago

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Turn any public Google Maps shared list into a structured dataset. Paste a maps.app.goo.gl link and get one row per saved place — name, creator note, full address, coordinates, categories, phone, website, rating, review count, opening hours, and photos — with optional Google reviews and website contact emails per place. JSON or CSV out, priced per place, not per compute unit.

Why Use This Scraper?

  • ✅ Works with short maps.app.goo.gl links, full list links, and direct place links — all auto-classified
  • ✅ One row per saved place, with the creator's note and list order preserved
  • ✅ Rich place details: phone, website, rating, review count, hours, plus code, categories, photos
  • ✅ Optional newest Google reviews attached to each place (translated to English when needed)
  • ✅ Optional website email harvest — turn a saved list into a lead list
  • ✅ Filters: min rating, review count, country, category, phone, website, permanently closed
  • ✅ No Google API key, no browser, no login — pure HTTP, a 63-place list exports in seconds
  • ✅ Deduplicates places across lists automatically

Overview

The Google Maps Shared List Scraper is built for travelers, researchers, and sales teams who need the places saved in a public Google Maps list as structured data.

The output is place-shaped rows. Whether you start from a shared-list link or a direct place link, the dataset is a stream of place rows — one per unique place. List context (list ID, title, the creator's note, position in the list, saved-by name, saved-at date) rides along on each row when the place came from a list.

Private lists (ones that require a Google login to open) are not supported — only lists shared with a public link.

Supported Inputs

URL types

URL typePatternExample
Short shared-list linkmaps.app.goo.gl/{code}https://maps.app.goo.gl/MMjvFNWpUTjiupHc9
Full shared-list linkgoogle.com/maps/placelists/list/{id}https://www.google.com/maps/placelists/list/PiSwyqmbpwpP...
Direct place linkgoogle.com/maps/place/...https://www.google.com/maps/place/SAVOY/@35.65,139.73,17z/data=...
Place by CIDmaps.google.com/?cid={number}https://maps.google.com/?cid=214453715609291850
Bare CIDdecimal number214453715609291850

Copy-pasteable input

{
"listUrls": [
"https://maps.app.goo.gl/MMjvFNWpUTjiupHc9",
"https://maps.google.com/?cid=214453715609291850"
]
}

Unsupported inputs

  • ❌ Private or login-protected lists ("You need access" lists)
  • Google Maps search-results URLs (/maps/search/Top+hotels+in+Paris) — accepted as a top-list query (one viewport, not an exhaustive city crawl)
  • ❌ goo.gl links that don't point at Google Maps

Use Cases

AudienceUse case
Travelers & creatorsExport a trip shortlist to a spreadsheet, keep notes and list order
Sales & lead-gen teamsTurn a curated list of businesses into phones, websites, and emails
ResearchersBulk-collect place metadata (categories, ratings, hours) for local-market analysis
Food & travel mediaCompare saved venues by rating and review count, pull recent review quotes
AgenciesDeliver client-ready location datasets without writing scrapers

How It Works

How It Works

  1. Input — paste one or more public shared-list links and/or direct place links
  2. Resolve — short links are followed to the underlying list; every input is auto-classified
  3. Collect — one JSON call per list returns every saved place (up to Google's 500-place list cap)
  4. Enrich — place details are fetched in parallel; reviews and website emails are added when enabled
  5. Output — one row per unique place, exported as JSON, CSV, or via the dataset API

Input Configuration

Input fields

FieldTypeRequiredNotes
listUrlsarray<string>yes*Shared list links and single place links, mixed as you like. Optional when topListQueries is set
topListQueriesarray<string>noGoogle's ready-made lists, e.g. Top hotels in Paris, or a /maps/search/ link
enrichPlacesbooleanoptionalPhone, website, rating, hours and photos per place. Default true; off = list-only (name, note, address, coordinates)
includeReviewsbooleanoptionalNewest Google reviews on each row. Default true
maxReviewsPerPlaceintegeroptionalDefault 10, up to 200
includeWebsiteEmailsbooleanoptionalPublic emails from each place's own website. Default false
maxEmailsPerPlaceintegeroptionalDefault 3, up to 10
excludePermanentlyClosedbooleanoptionalLeave out places closed for good. Default true
onlyWithPhonebooleanoptionalLeave out places with no phone. Default false
onlyWithWebsitebooleanoptionalLeave out places with no website. Default false
filterByCategoriesarray<string>optionalKeep places whose category contains any of these words
filterByCountrystringoptionalTwo-letter code or name (JP, Japan). Empty = any country
minReviewCountintegeroptionalAt least this many reviews. 0 = no minimum
minRatingnumberoptionalAt least this many stars. 0 = no minimum
maxResultsintegeroptionalPlaces in the whole run. Default 1000
maxPlacesPerListintegeroptionalPlaces from each list. Default 100, up to 500
maxConcurrencyintegeroptionalPlaces read at once. Default 10
proxyobjectoptionalResidential connection by default, best for larger runs

Common scenarios

1. Export a whole list

{
"listUrls": ["https://maps.app.goo.gl/MMjvFNWpUTjiupHc9"]
}

2. Lead list with reviews and emails

{
"listUrls": ["https://maps.app.goo.gl/MMjvFNWpUTjiupHc9"],
"includeReviews": true,
"maxReviewsPerPlace": 5,
"includeWebsiteEmails": true,
"maxEmailsPerPlace": 3
}

3. Lead-gen filters (open restaurants in Japan with a phone)

{
"listUrls": ["https://maps.app.goo.gl/MMjvFNWpUTjiupHc9"],
"onlyWithPhone": true,
"excludePermanentlyClosed": true,
"minRating": 4,
"filterByCountry": "Japan",
"filterByCategories": ["Restaurant"]
}

4. List-only (no per-place detail fetch)

{
"listUrls": ["https://maps.app.goo.gl/MMjvFNWpUTjiupHc9"],
"enrichPlaces": false
}

5. Google "Top hotels in Paris" list

{
"topListQueries": ["Top hotels in Paris", "Best coffee in Brooklyn"],
"maxPlacesPerList": 30
}

6. Specific places only (no list)

{
"listUrls": [
"https://maps.google.com/?cid=214453715609291850",
"https://www.google.com/maps/place/SAVOY/@35.6548695,139.7364827,17z/data=!3m1!4b1!4m6!3m5!1s0x60188b9e21c65eb1:0x6e98556d60ee756e!8m2!3d35.6548695!4d139.7364827"
]
}

Output Overview

Each dataset item is one place row containing:

  • Identity — name, localName, placeId (feature id), placeIdChIJ, cid, knowledgeId, googleMapsUrl
  • Location — address, streetAddress, city, state, postalCode, countryCode, latitude, longitude, plusCode, timezone
  • Business info — categories, rating, reviewCount, priceLevel, description, phone, website, websiteDomain, currentStatus, isPermanentlyClosed, isClaimed, businessHours, photos, thumbnail
  • List context — note (the creator's note), listId, listTitle, sourceListUrl, sourceIndex, savedByName, savedAt
  • Optional enrichment — reviews[] (when includeReviews), emails[] (when includeWebsiteEmails)

Fields Google doesn't publish for a given place come back null — e.g. a place without a phone listing has phone: null. description and priceLevel are the same: present when Google publishes them. Filtered places are not written to the dataset. If the same place appears in more than one submitted list, the first eligible match is kept and later matches are skipped.

Output Samples

Place from a shared list, with reviews

{
"name": "Tamai Nihonbashi Main Branch",
"categories": ["Anago restaurant", "Japanese restaurant", "Kaiseki restaurant"],
"rating": 4.5,
"reviewCount": 2168,
"currentStatus": "Closed · Opens 11 AM",
"isPermanentlyClosed": false,
"isClaimed": true,
"phone": "+81 3-3272-3227",
"website": "http://anago-tamai.com/",
"websiteDomain": "anago-tamai.com",
"address": "2 Chome-9-9 Nihonbashi, Chuo City, Tokyo 103-0027, Japan",
"postalCode": "103-0027",
"city": "Chuo City",
"state": "Tokyo",
"countryCode": "JP",
"latitude": 35.6812297,
"longitude": 139.7746943,
"plusCode": "8Q7XMQJF+FV",
"timezone": "Asia/Tokyo",
"businessHours": [
{ "day": "Wednesday", "hours": ["11 AM–2:30 PM", "5–9:30 PM"] },
{ "day": "Thursday", "hours": ["11 AM–2:30 PM", "5–9:30 PM"] }
],
"note": null,
"photos": [{ "url": "https://lh3.googleusercontent.com/gps-cs-s/...", "caption": null }],
"reviews": [
{
"rating": 5,
"text": "The eel was delicious, but I always felt unsatisfied eating just the small box…",
"originalLanguage": "zh-Hant",
"relativeDate": "9 hours ago",
"publishedAt": "2026-07-22T11:08:24.602Z",
"authorName": "42绿子",
"reviewUrl": "https://www.google.com/maps/reviews/data=..."
/* + reviewId, originalText, authorProfileUrl, authorPhoto, photos[] */
}
/* ... more reviews ... */
],
"googleMapsUrl": "https://maps.google.com/?cid=214453715609291850",
"cid": "214453715609291850",
"placeId": "0x601889579765230f:0x2f9e484a3a78c4a",
"placeIdChIJ": "ChIJDyNll1eJGGARSoyno4Tk-QI",
"listTitle": "Tokyo",
"listId": "PiSwyqmbpwpP_Nr5sAang4x5QxbKwA",
"sourceListUrl": "https://maps.app.goo.gl/MMjvFNWpUTjiupHc9",
"sourceIndex": 3,
"savedByName": "Shahed Khan",
"savedAt": "2026-05-08T06:26:59.000Z"
}

Place with a creator note

{
"name": "SAVOY Azabujuban",
"rating": 4.4,
"phone": "+81 3-6665-8102",
"website": "https://savoy-azabujyuban.com/",
"note": "Bluefin tuna pizza",
"sourceIndex": 1
/* same place shape as above */
}

Key Output Fields

Place identity

  • name, localName, placeId, placeIdChIJ, cid, knowledgeId, googleMapsUrl

Location

  • address, streetAddress, city, state, postalCode, countryCode
  • latitude, longitude, plusCode, compoundPlusCode, timezone

Business

  • categories[], rating, reviewCount, priceLevel, description
  • phone, phoneRaw, website, websiteDomain, currentStatus, isPermanentlyClosed, isClaimed
  • businessHours[] ({day, hours[]}), photos[] ({url, caption}), thumbnail
  • leadScore (0–100), leadScoreSignals[]

List context

  • note, listId, listTitle, sourceListUrl, sourceIndex, savedByName, savedAt

Reviews (when includeReviews: true)

  • reviews[].rating, reviews[].text, reviews[].originalText, reviews[].originalLanguage
  • reviews[].authorName, reviews[].publishedAt, reviews[].photos[]

Emails (when includeWebsiteEmails: true)

  • emails[], websitePhones[], socials (instagram/facebook/etc. from the same pages)

FAQ

Yes. Short maps.app.goo.gl links and full google.com/maps list links both work — short links are resolved automatically.

What about lists that are not shared publicly?

They cannot be read. The actor sees what anyone sees when they open the link while signed out of Google, so share the list as public first.

Do I need a Google Maps API key?

No. The actor reads the same public endpoints the Google Maps website uses — no API key, no browser.

Why is phone or website null for some places?

Google Maps doesn't publish the same details for every place. A place without a listed phone number has phone: null; a place without a website has website: null. The actor keeps whatever public fields exist.

Does businessHours contain the full week?

Usually yes. Google sometimes only sends today in the main hours block; the actor then fills the rest from the menu-hours table when that table is present. currentStatus is the live string (e.g. "Open · Closes 9:30 PM").

Can I scrape "Top hotels in Paris"?

Yes. Put the phrase in topListQueries, or paste a /maps/search/Top+hotels+in+Paris URL. That is one viewport (Google's ~120 cap), not an exhaustive city crawl — use Google Maps Leads Scraper when you need tiling past that cap.

Can I export just the list without phones and websites?

Yes. Set enrichPlaces to false. Each row then has the list fields only (name, note, address, coordinates, list context). Filters that need ratings, phones, websites, or closed status turn details back on automatically.

Do filters cost extra?

No. Dropped places are not written to the dataset, so they are not billed. The run keeps reading the list until it hits maxResults passing places or the list ends.

What happens when a place is in two lists?

The first eligible match is saved; later matches for the same place are skipped, so the saved row keeps the first list's context (note, index, savedAt).

How reliable is the email lookup?

Best-effort. The actor visits the place's own website (homepage plus contact/about pages) and harvests publicly displayed emails. Places whose "website" is an Instagram or delivery-platform link usually yield no email — that's a property of the data.

What about rate limits?

Lists are fetched with a single call each and place details in parallel. For runs of hundreds of places, keep the default residential proxy enabled; Google may throttle heavy anonymous traffic from datacenter IPs.

Support

Additional Services

  • Custom output shape, additional fields, or one-off datasets: muhamed.didovic@gmail.com
  • Need scheduled monitoring of a list (alert on new saved places)? Drop an email.
  • For API access (no Apify fee, just a usage fee for the API): muhamed.didovic@gmail.com

Explore More Scrapers

🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/google-maps-list-scraper).

Purpose: exports every place saved in a public Google Maps shared list (or given as a direct place link) as one structured row — including the list creator's notes, plus optional reviews and website emails.

Minimal input:

{ "listUrls": ["https://maps.app.goo.gl/MMjvFNWpUTjiupHc9"], "maxResults": 10 }

Output: one dataset row per place — name, categories[], priceLevel, rating, reviewCount, currentStatus, isPermanentlyClosed, isClaimed, phone, website, websiteDomain, address, streetAddress, postalCode, city, state, countryCode, latitude, longitude, plusCode, timezone, businessHours [{day, hours}], description, note, photos [{url, caption}], googleMapsUrl, cid, placeId, placeIdChIJ, listTitle, listId, sourceListUrl, sourceIndex, savedByName, savedAt, plus emails[] after websiteDomain when includeWebsiteEmails is on and reviews[] after photos when includeReviews is on.

Behaviors an agent should know:

  • Always set maxResults — a list can hold up to 500 places, and multiple lists multiply that.
  • listUrls accepts short links, full list links, direct place links, ?cid= URLs, and bare CIDs — mixed freely.
  • Duplicate places across lists are deduplicated; the first match wins.
  • Billing is per place row saved to the dataset. Filtered places, unresolvable links, and empty lists produce no charge.
  • enrichPlaces: false skips the per-place detail fetch. Filters that need rating/phone/website/closed status turn details back on.
  • includeWebsiteEmails bills separately, as Contact email found, and only when an email is actually discovered — a place whose website yields nothing is never charged for the attempt. Leave the option off and you never see the event at all.
  • Private (login-gated) lists fail with a logged warning — only public lists work. Fields Google doesn't publish are null.

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Google LLC or any of its subsidiaries. All trademarks, including Google Maps, are the property of their respective owners.

The scraper accesses only publicly available Google Maps pages and endpoints — no authenticated endpoints, no private lists, and no content behind the Google login wall. Users are responsible for ensuring their use complies with Google's Terms of Service, applicable data-protection law (GDPR, CCPA, etc.), and any contractual obligations of their own organization.


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