Google Maps B2B Leads & Reviews Scraper

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Google Maps B2B Leads & Reviews Scraper helps sales, marketing, research, and local SEO teams collect structured Google Maps business leads, contact details, ratings, locations, and optional review rows from Google Maps search results.

At a glance: input examples are category plus location searches such as plumbers in Chicago; output examples are business rows and optional review rows; use cases include lead generation and local SEO research; limitations, troubleshooting, and pricing/cost notes are covered below.

Enter searches such as plumbers in Chicago, dentists near Miami, or marketing agencies in Austin. The Actor opens Google Maps, collects matching business listings, visits each listing, and writes clean rows to the default dataset while the run is still in progress.

Use it when you want a simple Google Maps lead list without configuring dozens of advanced scraping options. Keep review extraction off for the lowest-cost business list, or turn it on when review text is part of your research.

Main Use Cases

• Build local B2B lead lists by city, category, or service area
• Enrich CRM records with business names, websites, phones, addresses, ratings, and Maps URLs
• Compare local competitors across neighborhoods or regions
• Collect review text for reputation research when review extraction is enabled
• Track which search query produced each business lead

Why Use This Actor

• Simple input: search terms, number of businesses, optional reviews, and language
• Lead-focused output with fields sales and local SEO teams usually need first
• Business rows and review rows in one dataset, linked by businessId
• Results are saved while the run is still in progress
• Built-in deduplication for repeated search queries and repeated review rows
• Guardrails for low-memory runs so expensive timeout-prone jobs fail fast with a clear message

Data Extracted

Business rows include:

When review extraction is enabled, review rows include:

Input Settings

Example Searches

• roofers in Phoenix Arizona
• dentists in Miami Florida
• HVAC contractors in Dallas Texas
• coffee shops in Cape Town
• marketing agencies in Austin

Example Input

{
"searchQueries":[
"coffee shop in Constantia Cape Town"
],
"maxPlacesPerQuery":1,
"includeReviews":false,
"language":"en"
}

For a review-focused run, use:

{
"searchQueries":["Starbucks Reserve Roastery New York 61 9th Ave"],
"maxPlacesPerQuery":1,
"includeReviews":true,
"reviewsPerBusiness":100,
"language":"en"
}

Example Output

Business row:

{
"type":"business",
"businessId":"ChIJifIePKtZwokRVZ-UdRGkZzs",
"businessName":"Joe's Pizza",
"category":"Pizza restaurant",
"rating":4.8,
"reviewCount":1245,
"priceLevel":"$$",
"fullAddress":"7 Carmine St, New York, NY 10014",
"websiteUrl":"https://www.joespizza.com",
"phoneNumber":"+1 212-555-0123",
"plusCode":"P2XF+4M New York",
"isClaimed":true,
"isClosed":null,
"googleMapsUrl":"https://www.google.com/maps/place/...",
"latitude":"40.7306",
"longitude":"-73.9996",
"cid":null,
"placeId":"ChIJifIePKtZwokRVZ-UdRGkZzs",
"searchQuery":"pizza in New York"
}

Review row:

{
"type":"review",
"businessId":"ChIJifIePKtZwokRVZ-UdRGkZzs",
"businessName":"Joe's Pizza",
"searchQuery":"pizza in New York",
"googleMapsUrl":"https://www.google.com/maps/place/...",
"reviewerName":"Alice Smith",
"reviewerRating":5,
"reviewText":"The best slice in the city.",
"publishDate":"2 weeks ago"
}

How To Run

1. Open the Actor on Apify.
2. Add one or more search queries.
3. Choose how many businesses to collect per query.
4. Leave review extraction off for the lowest-cost lead list, or enable it when reviews are needed.
5. Start the run.
6. Open the default dataset to preview, filter, or export the results.

Exporting Results

Results are written to the default dataset during the run. You can export them from Apify as JSON, CSV, Excel, XML, RSS, or HTML. Use the type field to separate business rows from review rows after export.

Python API Example

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input ={
"searchQueries":["coffee shop in Constantia Cape Town"],
"maxPlacesPerQuery":1,
"includeReviews":False,
"language":"en",
}
run = client.actor("thescrapelab/Apify-Google-Maps-B2B-Extractor").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

Limits And Caveats

• Google Maps can throttle, block, or change what it shows to automated browsers.
• Some listings hide websites, phone numbers, addresses, or reviews.
• Review extraction can be slower and less predictable than business extraction.
• Google may expose fewer review rows than requested for a listing or session.
• The same business can appear for different searches. The searchQuery field is preserved so you can decide how to deduplicate later.
• Very broad searches can produce weaker leads. Specific category plus city searches usually work best.
• The Actor does not extract email addresses or enrich data from third-party APIs.

Troubleshooting

Pricing

This Actor is intended for simple per-result pricing on Apify. Business rows and review rows are written as dataset items, so the final bill depends mainly on how many rows are saved and whether review extraction is enabled.

For the lowest-cost runs:

• Keep includeReviews turned off.
• Use specific category + location searches.
• Keep maxPlacesPerQuery modest for first tests.
• Split very large lead lists into several smaller runs.

Review extraction uses more browser time and may use residential proxy traffic, so it can cost more than business-only extraction.

FAQ

Can I scrape Google Maps business leads?

Yes. Provide business category and location searches, and the Actor returns structured Google Maps business rows.

Does this Google Maps scraper extract emails?

No. It extracts Maps-visible business data such as website, phone, address, rating, reviews, coordinates, and listing URLs. It does not crawl business websites for emails.

Can I get Google Maps reviews?

Yes. Enable includeReviews and set reviewsPerBusiness to the maximum number of reviews you want per listing. Review extraction is slower and may return fewer rows if Google limits or hides the review panel.

How do I avoid duplicate Google Maps leads?

Use businessId, placeId, cid, or googleMapsUrl when deduplicating exports. Duplicate search queries are removed automatically before crawling.

What is the cheapest way to run this Actor?

Keep includeReviews off, use specific searches, keep maxPlacesPerQuery modest, and split very large jobs into several smaller runs.

Is this Actor suitable for local SEO research?

Yes. It preserves the original searchQuery, ratings, review counts, categories, and Maps URLs, which are useful for local SEO and competitor analysis.

Can I scrape businesses from multiple cities?

Yes. Add multiple searches such as plumbers in Chicago, plumbers in Dallas, and plumbers in Phoenix. Each output row keeps the original searchQuery.

Can I export Google Maps leads to CSV or Excel?

Yes. Open the default dataset after the run and export the results as CSV, Excel, JSON, XML, RSS, or HTML.

Why did I receive fewer reviews than requested?

Google may limit or hide the review panel for the current browser session. The Actor saves every review row it can access, but it does not guarantee that Google will expose the full review history.

Last Tested

Last cloud smoke test: June 13, 2026. The test saved a business row successfully on the latest Actor version 1.22 build.

Responsible Use

Use the extracted data in line with Google Maps terms, applicable privacy laws, outreach rules, and your own compliance requirements.