This tool scrapes Google Place IDs from DoorDash, using location searches to gather data on names, addresses, coordinates, and country codes.
This Apify Actor scrapes Google Place IDs from DoorDash's API based on location searches.
Parameter | Type | Description | Default |
---|---|---|---|
q | String | Location or address to search for | "New York" |
radius | Integer | Search radius in miles (1-5000) | 500 |
1{ 2 "q": "New York", 3 "radius": 100 4}
The output of this scraper will be a dataset containing the following fields for each location found:
Here is an example of what the output data might look like:
1{ 2 "name": "New York Life Building", 3 "address": "175 W Washington St, Chicago, IL 60602, USA", 4 "latitude": 41.88284195959568, 5 "longitude": -87.6333300769329, 6 "place_id": "precisely_nectar_D000PJ2V4H5L", 7 "country": "US" 8}
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!