Get Yelp Urls

Get Yelp Urls

Find Yelp URLs in a square geographical area.

TRAVELApify

Yelp URLs

Finds Yelp places' URLs in a square geographical area.

Input

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.

Output

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.

Frequently Asked Questions

Is it legal to scrape job listings or public data?

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.

Do I need to code to use this scraper?

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.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

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!