Google Maps Email Extractor
Pricing
$19.99/month + usage
Google Maps Email Extractor
Automate email extraction from Google Maps with Google Maps Email Extractor. The actor scans listings and pulls available contact emails into structured datasets for CRM enrichment.
Pricing
$19.99/month + usage
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0.0
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API Empire
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1
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3 days ago
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Google Maps Email Scraper ππ§π
Google Maps Email Scraper is an Google Maps email extractor and Google Maps contact finder that collects business emails from public Google Maps profile results found via Google search. It is ideal for influencer outreach, B2B lead generation, agency prospecting, and building email lists for cold email and sales pipelines π―π
π¬ Support & Feedback
π For bugs, issues, or feature requests, please open a ticket in the Issues section of the repository. π€ Need a custom solution or enterprise features? Reach out to us at hello.apiempire@gmail.com
This actor focuses on speed and practicality: you provide keywords, it finds Google Maps profile URLs in Google results, and it extracts any email addresses visible in the result snippets, then saves them to an Apify dataset for easy export and automation π¦β‘
What is Google Maps Email Scraper π€
Google Maps Email Scraper is an Apify actor that acts like an Google Maps email finder. It uses keyword based Google search to discover Google Maps profile URLs, then extracts email addresses that appear in the search result snippets β π§
This approach is useful when you want quick discovery across many niches without manually opening profiles. It works best for business accounts, creators, agencies, brands, shops, and service providers that publish a contact email publicly ππ§©
What does Google Maps Email Scraper do? βοΈ
- Finds profiles: searches Google with a site filter for google dot com/maps plus your keyword and optional location ππ
- Extracts emails: parses each Google result block and pulls any email address found in the snippet π§π§²
- Outputs a dataset: saves each result row into an Apify dataset in real time so you can export to CSV, JSON, Excel, or via API π¦π€
What it does not do β οΈ
- No private data: it does not access private profiles or private contact fields π
- No Google Maps login needed: it does not sign in to Google Maps, it works from Google results π
- No guarantee every profile has email: many profiles do not show email publicly, so yield depends on niche and keyword quality π²
What would the results look like from Google Maps Email Scraper π
Each dataset item is a single email found in a Google result that links to a Google Maps profile β
| Field | Example | Meaning |
|---|---|---|
| network | Google Maps dot com | Source label |
| keyword | digital marketing agency | Keyword used for discovery |
| title | GrowthPro Agency | Google result title |
| description | contact growthproagency at example dot com | Google snippet text where the email was found |
| url | https://www.google.com/maps/growthproagency/ | Google Maps profile URL |
hello@example.com | Extracted email |
How to use the results π‘
- Export to CSV π: use in Google Sheets, Excel, HubSpot, or any CRM
- Export to JSON π: integrate with automations and outreach tooling
- Deduplicate β : deduplicate by email since multiple keywords can find the same profile
Capabilities of Google Maps Email Scraper β‘
- Keyword targeting π―: niche discovery for any industry
- Email domain filtering π§°: keep only selected domains like gmail, outlook, custom domains
- Location hinting π: add a location term to narrow search intent
- Proxy ready π‘οΈ: uses Apify Proxy group GOOGLE_SERP for more stable Google access
- Scale across many keywords π: process a keyword list in one run
- Exports and integrations π: use Apify dataset exports or API for CRMs and spreadsheets
Keyword tip π§ : use buyer intent phrases like agency, shop, clinic, coach, studio, local service, plus a location when needed π―π
Launch Your First Google Maps Email Scraping Task π
- Step 1 π: add keywords you want to target
- Step 2 ποΈ: set max emails per keyword and optional filters like emailDomains and location
- Step 3 βΆοΈ: run the actor on Apify
- Step 4 π₯: export results from the dataset or read them via API
Tip π‘: start with 1 to 3 keywords and a small maxEmails to validate relevance before scaling
Recommended starter configuration β : 3 to 10 keywords, maxEmails 25 to 100, optional emailDomains and location ποΈπ
Solving Real Problems with Google Maps Email Scraper π§
- Influencer outreach π€: find creator contact emails by niche keywords
- Local lead generation πΊοΈ: combine keyword plus location for local businesses
- Agency prospecting π’: build segmented lists for client acquisition
- Partnership sourcing π: find brands, shops, and creators for collaborations
- Market research π: map who is publicly advertising an email in the niche
What Sets Google Maps Email Scraper Apart? π
- Search driven discovery π: uses Google indexing to locate profiles that mention contact emails in snippets
- Focused output π―: delivers a simple clean dataset ready for outreach workflows
- Practical filtering π§°: domain and location options help reduce noise
- Apify native β : runs in the cloud with datasets, exports, schedules, and API access
search limit and capacity π
- Per keyword limit π’: controlled by maxEmails
- Pagination behavior π: checks Google result pages until it reaches maxEmails or it hits 5 pages in a row with no emails
- Result density varies π²: some keywords have many emails in snippets, others have almost none
- Run scalability π: add more keywords to the keywords list, but note the actor processes keywords sequentially
Scaling tips π‘οΈ: use narrower keywords, add location, increase maxEmails gradually, and keep emailDomains set when possible π―ππ§°
is it legal βοΈ
This actor is intended for publicly available data and legitimate business use β
- Follow platform rules π: comply with Google and Google Maps terms, plus Apify platform terms
- Respect privacy laws π‘οΈ: follow GDPR, CCPA, and local regulations for your region and use case
- Avoid spam π«: do not send unsolicited bulk emails, and always honor opt out requests
- Use consent based outreach when possible π€: focus on relevant offers and responsible messaging
If you are unsure, consult a qualified legal professional for your jurisdiction π¨ββοΈ
Required Input Fields π§Ύ
- keywords β π: list of keywords to search (required)
- maxEmails π’: max emails per keyword (default 20)
- emailDomains π§: list of allowed domains to keep
- location π: optional location term to narrow intent
- platform π: platform name used for URL matching (default Google Maps)
- engine βοΈ: engine label for internal behavior (default legacy)
- proxyConfiguration π‘οΈ: proxy config input (actor uses Apify Proxy group GOOGLE_SERP)
Input notes π
- keywords should be a list of strings, each string is searched separately π
- emailDomains should be domains like gmail dot com, outlook dot com, company dot com
- location is just a text hint added to the query, it is not a strict geo filter π
Required Output Fields π€
- network π
- keyword π
- title π§Ύ
- description π
- url π
- email π§
FAQ β
Mechanics of Google Maps Email Scraper π§©
It builds a Google query using site filtering for google dot com/maps plus your keyword, optional location, and optional domain filters. It fetches Google result pages using Apify Proxy and extracts emails from each result block, then pushes each row to the Apify dataset β π¦
Type of Google Maps Email Scraper π·οΈ
This is a keyword based Google SERP email extractor focused on Google Maps profile results. It is not a direct Google Maps page crawler π§
Our Google Maps Email Scraper Test Findings π§ͺ
Results depend heavily on keyword choice and niche competition. For best outcomes, test multiple keyword variations, enable domain filters when possible, and review the Apify run log to see how many pages were needed per keyword π
Why scrape google maps email leads π―
- faster influencer outreach pipelines π€
- build targeted B2B prospect lists π’
- discover contact emails for brands and creators π§
- enrich lead lists for CRM and sales automation π
How Much Does Google Maps Email Scraper Cost ? πΈ
Cost depends on Apify compute units, run duration, and proxy usage. Check Apify pricing at https://apify.com/pricing and consider running a small sample first to estimate your real cost π§Ύ
Top Benefits of Google Maps Email Scraper β
- quick email discovery by niche keywords β‘
- structured dataset output for exports and API π¦
- domain and location filters to reduce noise ποΈ
- cloud runs on Apify with scheduling and integrations π
Disadvantages of google maps email scraping β οΈ
- only captures emails that appear in Google snippets for Google Maps profile results π
- some niches have low email visibility, so yield can be limited π²
- Google rate limits can reduce throughput without proxies β±οΈ
How to Choosing a High-Performing Google Maps Email Scraper π
- choose tools that clearly state inputs and outputs π§Ύ
- prefer dataset based outputs for easy exports and automation π¦
- use proxy support for stable SERP access π‘οΈ
- validate with small test runs before scaling π
Ready to build better outreach lists with an Google Maps email extractor? Run the actor, export your dataset, and plug it into your outreach workflow in minutes ππ§π¦