Find Yelp URLs in a square geographical area.
Finds Yelp places' URLs in a square geographical area.
To get started, you need an initial point with its geographical coordinates, in degrees, which will be the center of the square.
Then, choose the place type (either restaurant
or hotel
) and, optionally, a string to match with the place's name.
The queries must be formatted like this, with the values separated by comma, without white spaces around commas:
Latitude,longitude,place-type,match-string
Finally, choose the search square size.
Here is a sample input:
1{ 2 "queries": [ 3 "43.410405,-70.5582322,restaurant,Popeyes Louisiana Kitchen", 4 "44.2073275,-69.8277909,restaurant,Popeyes Louisiana Kitchen", 5 "43.636905,-70.3363167,restaurant" 6 ], 7 "maxResultsPerQuery": 1, 8 "searchSquareSide": 50, 9 "matchStringTolerance": 1 10}
As you can see, maxResultsPerQuery
is 1
, because we are trying to match exactly some places we already know, and find their URLs on Yelp.
Also, notice that the third query does not provide a string to match. Even if that's the case, we would still like to match a "Popeyes Louisiana Kitchen" in this example.
Here is a sample output, originated from the previous input:
1[ 2 { 3 "query": "43.410405,-70.5582322,restaurant,Popeyes Louisiana Kitchen", 4 "url": "https://www.yelp.com/biz/popeyes-louisiana-kitchen-kennebunk-2?osq=Restaurants", 5 "id": "UCCKTx1XSAIDFbhSv4NpXA", 6 "name": "Popeyes Louisiana Kitchen", 7 "lat": 43.41041812342172, 8 "lng": -70.5582328739657, 9 "nameScore": 0 10 }, 11 { 12 "query": "44.2073275,-69.8277909,restaurant,Popeyes Louisiana Kitchen", 13 "url": "https://www.yelp.com/biz/popeyes-louisiana-kitchen-west-gardiner?osq=Restaurants", 14 "id": "WlBpHoYK7WSeEM8veyK0rw", 15 "name": "Popeyes Louisiana Kitchen", 16 "lat": 44.207429, 17 "lng": -69.827971, 18 "nameScore": 0 19 }, 20 { 21 "query": "43.636905,-70.3363167,restaurant", 22 "url": "https://www.yelp.com/biz/popeyes-louisiana-kitchen-south-portland?osq=Restaurants", 23 "id": "iB4r7V69aXnOlb05F23m1g", 24 "name": "Popeyes Louisiana Kitchen", 25 "lat": 43.6368919, 26 "lng": -70.3363024 27 } 28]
Notice that, even if we didn't give a string to match for the third place, we still found a "Popeyes Louisiana Kitchen", which is what we wanted. That's because if you don't provide a string to match, the scraper will sort the results by distance from the center of the square, giving you the closest results.
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!