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