Google Maps Email Scraper

Google Maps Email Scraper 🎯 — Extract Business Emails from Local Listings Automatically

Manually searching local listings and opening websites to copy contact emails wastes hours you could spend selling. Google Maps Email Scraper finds businesses in a target area and extracts contact details from their websites so you can build leads faster. This Google Maps email scraper is ideal for marketers, recruiters, and growth teams that need extract emails from Google Maps results at scale—capturing thousands of lead records in a single run.

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What You Get: Sample Output

Here's a sample record from a single run:

{
  "name": "Pioneer Coffee Roasters",
  "website": "https://pioneercoffee.example.com/contact",
  "phone": "+1 (305) 555-0148",
  "full_address": "2200 Biscayne Blvd Miami FL 33137 US",
  "city": "Miami",
  "state": "FL",
  "zip": "33137",
  "country_code": "US",
  "scraped_emails": [
    {
      "email": "hello@pioneercoffee.example.com",
      "confidence_score": 92.3,
      "validation_status": "valid",
      "source_url": "https://pioneercoffee.example.com/contact",
      "source_type": "contact_page"
    }
  ],
  "scraped_phones": ["+1-305-555-0199"],
  "scraped_social_media": ["https://www.linkedin.com/company/pioneer-coffee-roasters/"],
  "emails_found": 1,
  "pages_scraped": 6,
  "avg_rating": 4.6,
  "total_reviews": 312,
  "lat": 25.7891,
  "long": -80.1862,
  "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4",
  "scrape_status": "success"
}

Field	Type	What It Tells You
name	string	The business name you can use directly in lead lists.
website	string	The business website the actor used as the starting point for contact extraction.
phone	string	The phone number associated with the business listing.
full_address	string	A ready-to-use full address string for enrichment and segmentation.
city	string	Helps you filter and target specific regions within your chosen location.
state	string	State-level segmentation for outreach campaigns.
zip	string	ZIP code to support geo-based targeting and routing.
country_code	string	Country code for consistent international lead datasets.
scraped_emails	array	The extracted email contacts (with confidence and source details) from the website.
scraped_phones	array	Phone numbers found on the website, separate from the listing phone.
scraped_social_media	array	Social profiles detected on the business website for extra context and verification.
emails_found	number	Quick count of how many email addresses were extracted for this business.
pages_scraped	number	Indicates how much website content was processed per business.
avg_rating	number	Listing rating to help prioritize higher-quality leads.
total_reviews	number	Review count to gauge business popularity.
scrape_status	string	Tells you whether the business scrape succeeded, failed, had no website, or had another outcome (for example: success, failed, no_website, or error).
place_id	string	The place identifier used for deduping listings during the run.

Export your dataset as JSON, CSV, or Excel — straight from the Apify dashboard.

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Why Google Maps Email Scraper?

There are a lot of ways to pull contact data from local business listings — here’s what sets Google Maps Email Scraper apart.

Email-first lead building from local listings

This Google Maps business email extractor starts by discovering businesses inside your chosen area, then moves to each website to extract contact information. If you’re looking for Google Maps lead email scraper style datasets, the output is ready for outreach workflows.

Structured, integration-ready results

Each business is saved with consistent fields including scraped_emails, scraped_phones, scraped_social_media, and listing metadata like avg_rating and total_reviews. This makes the results suitable for researchers, analysts, and marketers who need clean, structured data (including Google Places email scraper-style lead research outcomes).

Built-in filtering for email-only runs

Turn on Show Businesses with Email Only to keep only businesses where emails were successfully extracted from websites. That gives you tighter lead lists when you want scrape business emails from Google Maps without extra cleanup.

Resilience for large scraping jobs

The actor is designed for real-world runs: it includes retries and fallback behavior when website extraction fails for a business. For higher throughput, it also supports proxy configuration for more reliable scraping at scale.

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Configuring Your Run

Drop this into your input.json to get started:

{
  "googleMapsSearchTerm": "coffee shops",
  "googleMapsLocation": "Miami, Florida",
  "maxBusinesses": 20,
  "emailOnlyResults": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Parameter	Required	What It Does
googleMapsSearchTerm	⬜	The business type or niche to search for (for example: coffee shops, dentists).
googleMapsLocation	✅	The geographic location to target (for example: Miami, Florida).
maxBusinesses	⬜	Limits how many businesses to collect (from 1 to 1000). The run stops when this target is reached.
emailOnlyResults	⬜	If enabled, only businesses where emails were successfully extracted from their websites are saved.
proxyConfiguration	⬜	Proxy settings for scraping. Recommended for larger-scale scraping runs.
↳ proxy support	⬜	Use Apify Proxy for the run (set to true in the default configuration).

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Core Capabilities

Local business discovery for a target niche

With Google Maps email scraping software, you choose a googleMapsSearchTerm and a googleMapsLocation. The actor then discovers businesses in that area and builds a deduplicated set of leads.

Website contact extraction (emails, phones, social)

After discovery, Google Maps contact information scraper logic focuses on pulling contact details from each business website. You’ll get scraped_emails (with confidence and validation metadata), plus scraped_phones and scraped_social_media.

Email-only lead filtering for tighter outreach lists

When emailOnlyResults is enabled, the actor only saves businesses where emails were successfully extracted from websites. This is ideal if your goal is find business emails on Google Maps results that are immediately usable.

Output completeness with scrape status

Each business record includes fields that help you understand what happened during the run, including emails_found, pages_scraped, and scrape_status. Even when a business has no website or extraction fails, you still get a clear outcome you can filter later.

Proxy-ready runs for scale

You can provide proxyConfiguration to support more reliable scraping at scale. This is particularly helpful when running automated Google Maps email lead generation for many businesses.

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Who Gets the Most Out of This

Here’s how different teams put Google Maps Email Scraper to work:

Marketing and Growth Teams — Build targeted prospect lists for local campaigns by scraping businesses in a specific niche and location, then extracting website emails for faster outreach. You get lead records enriched with ratings and review counts to help prioritize.

Sales Development Representatives — Turn Google Maps business email extractor output into a ready-to-call pipeline. The emails_found field helps you quickly filter for businesses that actually have contact emails on their websites.

Recruiters and Staffing Teams — Source local employers for talent outreach by collecting emails plus phone/social details from business websites. The structured dataset makes it easy to segment by city/state and validate lead coverage.

Freelance Researchers and Data Analysts — Produce repeatable datasets that combine local listing info (like avg_rating and total_reviews) with website-derived contacts. This supports both qualitative research (sources) and quantitative lead analysis (counts and status filtering).

Automation Specialists (Technical) — Use the actor as a dependable data source for scheduled enrichment and downstream pipelines. Export results from the Apify dataset tab or trigger runs programmatically through the Apify API for consistent, repeatable lead data.

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Step-by-Step: How to Use It

No coding needed. Here's how to run Google Maps Email Scraper from start to finish:

1. Open the actor on Apify — go to console.apify.com and open the actor page.
2. Enter your inputs — set googleMapsSearchTerm and the required googleMapsLocation (plus maxBusinesses and emailOnlyResults if you want).
3. Configure proxy settings — if you’re running bigger batches, enable proxy configuration to help improve scraping reliability.
4. Hit Run and watch the live log — monitor progress and see what’s being scraped in real time.
5. View results in the dataset tab — records are saved with fields like scraped_emails, emails_found, and scrape_status.
6. Export as JSON, CSV, or Excel — download directly from the Apify dashboard for immediate use in outreach tools or spreadsheets.

The whole process takes under 5 minutes to set up.

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Integrations & Export Options

Once your data is collected, Google Maps Email Scraper plugs directly into your existing workflow.

Export formats include JSON, CSV, and Excel from the Apify dataset tab. This makes it easy to use results in CRMs, spreadsheets, BI tools, and lead enrichment workflows.

You can also access runs via the Apify API, connect the output into automation tools like Zapier / Make, and trigger downstream actions using webhooks. For scheduled runs, configure the actor to run automatically on a schedule in Apify (useful for continuous Google Maps listing email scraping and ongoing lead generation).

For deeper setup details, refer to the Apify docs: apify.com/docs/api.

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Pricing & Free Trial

Google Maps Email Scraper runs on the Apify platform, which offers a free tier — no credit card required to get started.

You’ll pay based on Apify platform compute (pay-as-you-go), and you typically start small with test runs. Subscription plans may be available for heavier usage—check Apify’s pricing page for the latest details.

Start for free at apify.com and scale when you’re ready.

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Reliability & Performance

What We Handle	How
Rate limiting resilience	Designed to keep scraping reliable during high-volume collection.
Proxy support for stability	Optional proxy configuration helps reduce disruptions on long runs.
Website extraction failures	Records include scrape_status so you can identify successes and failures quickly.
Email-only filtering	emailOnlyResults keeps your dataset focused on businesses where emails were extracted.
Progress visibility	The dataset is populated as the actor processes businesses, so you can track outcomes.
Scale control	Use maxBusinesses (1–1000) to bound the run size for predictable lead volume.

Limitations: The actor relies on publicly available contact information and website accessibility; if a business doesn’t provide a website or contact info in extractable form, you may see fewer scraped_emails. For enterprise-scale lead programs, data coverage and extraction success can vary by niche and how each business publishes contact details.

For enterprise-scale runs, contact us to discuss custom configurations.

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Frequently Asked Questions

Is there a free plan or trial?

Yes, Apify offers a free tier that lets you run Google Maps Email Scraper for testing without committing to paid usage. Availability depends on the current Apify offering and your account.

Do I need to log in to use Google Maps Email Scraper?

No. This actor works from publicly accessible information to build leads, and it uses your provided googleMapsSearchTerm and googleMapsLocation as the starting point.

How accurate is the data?

Accuracy depends on what the business publishes on its website. The actor extracts emails (and related metadata) into scraped_emails, and you can filter by emails_found to focus on businesses that actually yield contact emails.

How many results can I get per run?

You control the limit with maxBusinesses (allowed range: 1 to 1000). In normal mode, the actor targets that number; in email-only mode, it continues scraping until it collects enough businesses with extracted emails or hits stopping conditions.

How often is the data updated / how fresh is it?

Data freshness is based on when you run the actor. If you need fresher leads, run the actor on a schedule in Apify.

Is this legal? Does it comply with GDPR / CCPA?

The actor extracts publicly available data and does not access login-gated or private pages. It’s your responsibility to ensure your use complies with GDPR, CCPA, platform terms, and any applicable local regulations.

Can I export results to Google Sheets or Excel?

Yes. You can export your Apify dataset as JSON, CSV, or Excel from the Apify dashboard. From there, you can import into Google Sheets or other tools that accept CSV/Excel.

Can I run this on a schedule automatically?

Yes. Apify supports scheduled runs, so you can automate continuous Google Maps lead email scraper workflows without manually starting each run.

Can I access this via API?

Yes. You can use the Apify API to trigger the actor and retrieve results programmatically. See apify.com/docs/api for details.

What happens if the actor hits an error?

If website scraping fails for a business, you’ll see a record saved with fields like scrape_status and (when applicable) error-related fields such as scrape_error. That way you can filter and re-run only the missing or failed segments.

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Need Help or Have a Request?

Got a question about Google Maps Email Scraper or want a new feature added? Reach out at dataforleads@gmail.com — we actively maintain this actor and can help with improvements like webhook notifications on completion or batch upload enhancements for smoother lead operations.

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Disclaimer & Responsible Use

Google Maps Email Scraper is the fastest, most reliable way to extract business contact emails from local listings — start your free run today.

This actor collects publicly available data and does not access private accounts, login-gated content, or password-protected pages. You’re responsible for complying with GDPR, CCPA, platform ToS, and any applicable regulations when using the results. For data removal requests, contact dataforleads@gmail.com. Use responsibly, ethically, and only for lawful purposes.