📩📍 Google Maps Email Extractor
Pricing
from $7.00 / 1,000 results
📩📍 Google Maps Email Extractor
Extract Google Maps contact details. Scrape websites of Google Maps places for contact details and get email addresses, website, location, address, zipcode, phone number, social media links. Export scraped data, run the scraper via API, schedule and monitor runs or integrate with other tools.
3.2 (54)
Pricing
from $7.00 / 1,000 results
874
Total users
35K
Monthly users
4.6K
Runs succeeded
93%
Issues response
2.3 days
Last modified
4 hours ago
imageUrl | title | totalScore | reviewsCount | phone | city | website |
|---|---|---|---|---|---|---|
https://lh5.googleusercontent.com/p/AF1QipNrgdoicPPrlWK1ZokL0ajfKWduz6YWKx8PQAS1=w408-h306-k-no | **** - Restaurant & Bar | 4.4 | 920 | (718) 347-**** | Queens | https://www.****.com/ |
https://lh5.googleusercontent.com/p/AF1QipMg-qwl_2PZzRbnKXncQxtAqAkTObmzaveWt2om=w408-h342-k-no | ******* Restaurant And Bar | 4.5 | 2069 | (718) 347-**** | Queens | https://*****.com/ |
https://lh5.googleusercontent.com/p/AF1QipPazcnp1negFxNI5ycluKtRPn19VEbvIORrHgx9=w408-h306-k-no | ****** Famous Pizza | 4 | 475 | (718) 347-**** | Queens | https://www.******.com/ |
The data above is synthetic and does not reflect real-world values. View full dataset
Duplicate Results using Apify via Make.com (Wasting Credits)
Closed
Hi, I'm using this Actor in Make.com scenarios to scrape different specific categories, but around 40-50% of the results are duplicates. This leads to unnecessary Apify credit usage, since I’m effectively paying twice for the same data. Is there a way to prevent this?
Hi! Unfortunately, there is no way to do it, as you are doing different runs but using categories similar enough that you are still getting the same results. Could you do fewer runs with more categories closer to each other to mitigate the duplicates across runs?
Have a nice day!
