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Google Maps Scraper Apify

Use this skill when the user needs Google Maps business data through an Apify actor, including local business leads, place URLs, Place IDs, websites, phones,...

personAuthor: hundevmodehubclawhub
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Google Maps Scraper Apify Skill

Overview

This skill helps an AI agent run the Apify Google Maps Scraper actor for local business collection and enrichment.

Default actor:

  • Actor ID: kLdarP5qiTvc9CwtP
  • Actor name: x_guru/google-maps-scraper
  • Store page: https://apify.com/x_guru/google-maps-scraper

Use this skill when a user asks to:

  • collect Google Maps places by search term and location
  • scrape direct Google Maps search URLs or place URLs
  • enrich existing Google Place IDs
  • build local lead lists with websites, phones, addresses, ratings, and coordinates
  • add public website contact extraction
  • extract Google Maps reviews or images
  • create Apify-ready JSON payloads for n8n, CRM, Sheets, or API workflows

Quick Workflow

  1. Clarify the target: business type, location, desired count, and whether add-ons are needed.
  2. Build the smallest useful payload first.
  3. Set a budget guard with Apify maxTotalChargeUsd when the user cares about spend.
  4. Run the actor through scripts/google_maps_scraper_actor.py or the Apify API.
  5. Return summary metrics and dataset rows.
  6. Explain missing fields as normal best-effort behavior when Google Maps or the business website does not expose data.

Payload Rules

  • Standard discovery uses searchStringsArray, locationQuery, and maxCrawledPlacesPerSearch.
  • Exact Google Maps URLs use startUrls as objects: [{"url": "https://www.google.com/maps/..."}].
  • Exact Google Place IDs use placeIds.
  • Structured search area uses countryCode, city, state, county, postalCode, customGeolocation, and strictLocationBounds; locationQuery has priority when present.
  • Broad visible-map collection uses allPlacesNoSearchAction="all_visible" and optional allPlacesZoom; use it only for concrete local areas.
  • Paid filters include placeCategories, customPlaceCategories, searchMatching, minStars, website, and skipClosedPlaces.
  • Use scrapeCompanyContacts only when the user needs public website emails, phones, or social links.
  • Use maxReviews only when the user explicitly needs review rows or review fields.
  • Use maxImages only when the user needs image URLs beyond the main image.
  • Use scrapePlaceDetailPage for richer opening hours, menu links, plus code, inside places, web results, and detailed place metadata.
  • Place details can be extended with scrapeTableReservationProviderData, scrapeOrderOnlineWidgetData, includeWebResults, and scrapeInsidePlaces.
  • Image extraction can be extended with scrapeImageAuthors.
  • Keep initial tests small: 10-50 places before scaling.

Authentication

Use the Apify API token from the environment:

export APIFY_TOKEN='apify_api_xxx'

Never hardcode or print the full token in user-facing output.

Script Usage

Install requirements if your runtime expects a requirements step:

pip install -r requirements.txt

Run a quick search:

APIFY_TOKEN='apify_api_xxx' \
python3 scripts/google_maps_scraper_actor.py quick-search \
  --query "bike repair shop" \
  --location "Portland, Oregon, USA" \
  --limit 25 \
  --budget-usd 1

Run with reviews:

APIFY_TOKEN='apify_api_xxx' \
python3 scripts/google_maps_scraper_actor.py quick-search \
  --query "dentist" \
  --location "Austin, Texas, USA" \
  --limit 20 \
  --reviews 10 \
  --reviews-sort newest \
  --budget-usd 1

Run with website contacts:

APIFY_TOKEN='apify_api_xxx' \
python3 scripts/google_maps_scraper_actor.py quick-search \
  --query "roofing contractor" \
  --location "Denver, Colorado, USA" \
  --limit 50 \
  --with-contacts \
  --only-with-website \
  --budget-usd 2

Run a custom payload:

APIFY_TOKEN='apify_api_xxx' \
python3 scripts/google_maps_scraper_actor.py run \
  --input-file references/sample_input.json \
  --budget-usd 2

Recommended Inputs

Local business discovery

{
  "searchStringsArray": ["bike repair shop"],
  "locationQuery": "Portland, Oregon, USA",
  "maxCrawledPlacesPerSearch": 100,
  "language": "en"
}

Exact URLs

{
  "startUrls": [
    {
      "url": "https://www.google.com/maps/search/restaurants+near+New+York,+NY"
    }
  ],
  "maxCrawledPlacesPerSearch": 100,
  "language": "en"
}

Place IDs

{
  "placeIds": ["ChIJN1t_tDeuEmsRUsoyG83frY4"],
  "maxCrawledPlacesPerSearch": 1,
  "scrapePlaceDetailPage": true
}

Add-on Fields

  • scrapePlaceDetailPage: extra place details.
  • scrapeCompanyContacts: website contact enrichment.
  • maxReviews: reviews per place.
  • reviewsStartDate: optional YYYY-MM-DD review date filter.
  • reviewsSort: newest, mostRelevant, highestRanking, or lowestRanking.
  • reviewsFilterString: keyword filter for review text.
  • reviewsOrigin: all or google.
  • scrapeReviewsPersonalData: include reviewer profile data when allowed.
  • maxImages: additional image URLs per place.

Output Contract

The runner returns JSON with:

  • ok
  • actorId
  • fetchedAt
  • inputUsed
  • itemCount
  • rows[]

Rows are actor dataset items. Common fields include: Core identity:

  • title
  • subTitle
  • description
  • price
  • categoryName
  • categories
  • rank
  • isAdvertisement

Address and geography:

  • address
  • neighborhood
  • street
  • city
  • state
  • postalCode
  • countryCode
  • location
  • locatedIn
  • floor
  • plusCode

Contacts and web presence:

  • website
  • phone
  • phoneUnformatted
  • emails
  • additionalPhones
  • facebooks
  • instagrams
  • linkedIns
  • twitters
  • youtubes
  • tiktoks

Ratings, reviews, and media:

  • totalScore
  • reviewsCount
  • reviewsDistribution
  • reviews
  • reviewsScraped
  • reviewsFetchStatus
  • reviewsFetchMethod
  • reviewsDateFilterStatus
  • imageUrl
  • images
  • imagesCount
  • imageFetchStatus
  • imageFetchMethod
  • imageAuthorsStatus
  • imageCategories

Details and identifiers:

  • openingHours
  • additionalOpeningHours
  • popularTimesLiveText
  • popularTimesLivePercent
  • popularTimesHistogram
  • menu
  • servicesLink
  • reserveTableUrl
  • googleFoodUrl
  • peopleAlsoSearch
  • placesTags
  • reviewsTags
  • gasPrices
  • hotelStars
  • hotelDescription
  • hotelAds
  • placeId
  • fid
  • cid
  • kgmid
  • url
  • searchPageUrl
  • searchPageLoadedUrl
  • searchString
  • language
  • scrapedAt
  • additionalInfo

The hosted actor output page also exposes:

  • dataset link: results
  • run diagnostics link: summary, pointing to RUN_SUMMARY

Agent Response Rules

  • If a run succeeds with zero rows, say that the actor finished but Google Maps returned no matching places for the requested input.
  • If add-on fields are missing, explain that they are best-effort and depend on Google Maps or the business website exposing data.
  • For lead generation requests, recommend scrapeCompanyContacts plus website=withWebsite when the user needs emails.
  • For large jobs, split by city, keyword, or area and use budget limits per run.
  • For compliance-sensitive review workflows, turn scrapeReviewsPersonalData off unless the user explicitly needs reviewer profile fields.

References

  • references/actor-input-guide.md
  • references/sample_input.json
  • references/troubleshooting.md