Google Maps Scraper

Google Maps Scraper with Apify

Search and extract business listings from Google Maps including name, address, phone, website, email, ratings, and opening hours. Supports email extraction from business websites.

Actor: futurizerush/google-maps-scraper

Prerequisites

Set APIFY_API_TOKEN in environment. Get a token at console.apify.com/account/integrations.

Execution Flow

Apify runs are asynchronous. Every request follows 3 steps:

1. Start a run -- POST to the actor API, receive a run ID and dataset ID
2. Poll until done -- GET the run status, wait for SUCCEEDED
3. Fetch results -- GET the dataset items (returns a JSON array)

Typical run time: 1-5 minutes depending on result count and email scraping.

Input Parameters

Complete Example (Python)

import requests, os, time

TOKEN = os.environ["APIFY_API_TOKEN"]
BASE = "https://api.apify.com/v2"

# Step 1: Start the run
response = requests.post(
    f"{BASE}/acts/futurizerush~google-maps-scraper/runs?token={TOKEN}",
    json={
        "searchQueries": ["coffee shop taipei"],
        "maxResults": 50,
        "language": "en",
        "scrapeEmails": True,
    },
)
response.raise_for_status()
run = response.json()["data"]
run_id = run["id"]
dataset_id = run["defaultDatasetId"]

# Step 2: Poll until done
while True:
    status = requests.get(
        f"{BASE}/actor-runs/{run_id}?token={TOKEN}"
    ).json()["data"]["status"]
    if status == "SUCCEEDED":
        break
    if status in ("FAILED", "ABORTED", "TIMED-OUT"):
        raise RuntimeError(f"Run failed: {status}")
    time.sleep(5)

# Step 3: Fetch results (JSON array)
items = requests.get(
    f"{BASE}/datasets/{dataset_id}/items?token={TOKEN}"
).json()
for biz in items:
    print(f"{biz['name']} ({biz['businessType']})")
    print(f"  Rating: {biz['rating']} ({biz['reviews']} reviews)")
    print(f"  Address: {biz['address']}")
    print(f"  Phone: {biz['phone']}")
    if biz.get("emails"):
        print(f"  Emails: {', '.join(biz['emails'])}")

Search with direct Google Maps URL

requests.post(
    f"{BASE}/acts/futurizerush~google-maps-scraper/runs?token={TOKEN}",
    json={
        "startUrls": [
            {"url": "https://www.google.com/maps/search/sushi+restaurant+tokyo"}
        ],
        "maxResults": 50,
        "scrapeEmails": True,
    },
)

Multiple queries

requests.post(
    f"{BASE}/acts/futurizerush~google-maps-scraper/runs?token={TOKEN}",
    json={
        "searchQueries": ["dentist new york", "lawyer new york", "accountant new york"],
        "maxResults": 50,
        "scrapeEmails": True,
    },
)

Complete Example (bash)

# Step 1: Start the run
RUN_RESPONSE=$(curl -s -X POST \
  "https://api.apify.com/v2/acts/futurizerush~google-maps-scraper/runs?token=$APIFY_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries": ["coffee shop taipei"], "maxResults": 50, "language": "en", "scrapeEmails": true}')

RUN_ID=$(echo "$RUN_RESPONSE" | jq -r '.data.id')
DATASET_ID=$(echo "$RUN_RESPONSE" | jq -r '.data.defaultDatasetId')

# Step 2: Poll until done
while true; do
  STATUS=$(curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?token=$APIFY_API_TOKEN" \
    | jq -r '.data.status')
  [ "$STATUS" = "SUCCEEDED" ] && break
  [ "$STATUS" = "FAILED" ] || [ "$STATUS" = "ABORTED" ] && echo "Failed: $STATUS" && exit 1
  sleep 5
done

# Step 3: Fetch results
curl -s "https://api.apify.com/v2/datasets/$DATASET_ID/items?token=$APIFY_API_TOKEN" | jq '.'

Output Format

Each item in the results array (field names verified from real API output on 2026-04-11):

{
  "name": "RUFOUS COFFEE",
  "placeId": "ChIJW03Z2y6qQjQRkIeeuqF3-mU",
  "latitude": 25.0235003,
  "longitude": 121.5436548,
  "rating": 4.6,
  "reviews": 1756,
  "address": "No. 339號, Section 2, Fuxing S Rd, Da'an District, Taipei City, Taiwan 106",
  "businessType": "Coffee shop",
  "phone": "+886 2 2736 6880",
  "website": "https://www.rufous.com.tw/",
  "email": null,
  "emails": [],
  "url": "https://www.google.com/maps/place/RUFOUS+COFFEE/data=...",
  "hours": [
    "Monday: 12 to 8 PM",
    "Tuesday: 12 to 8 PM",
    "Wednesday: 12 to 8 PM",
    "Thursday: Closed",
    "Friday: 12 to 8 PM",
    "Saturday: 12 to 8 PM",
    "Sunday: 12 to 8 PM"
  ],
  "hoursDetail": {
    "Monday": "12 to 8 PM",
    "Tuesday": "12 to 8 PM",
    "Thursday": "Closed"
  },
  "sourceUrl": "https://www.google.com/maps/search/coffee%20shop%20taipei?hl=en",
  "query": "coffee shop taipei",
  "timestamp": "2026-04-11T06:10:14.294Z",
  "scrapeDuration": 233
}

Note: Field names use camelCase. email is a single string (or null), emails is an array (may be empty even with scrapeEmails: true if no email is found on the website). hours is an ordered array; hoursDetail is a keyed object.

Error Handling

Tips

• Use scrapeEmails: true for lead generation -- the actor visits each business website to find emails.
• Email scraping adds time (visiting each website), so runs take longer with it enabled.
• placeId is a stable Google Maps identifier -- use it for deduplication across queries.
• hours is an ordered array (Monday-Sunday), hoursDetail is a keyed object -- use whichever is more convenient.
• latitude and longitude can be used for distance calculations or map visualizations.
• Multiple search queries run in a single actor execution.
• No Google Maps API key required.

Links

• Actor page
• Apify API docs