DoorDash Store Details Scraper
Pricing
from $0.75 / 1,000 stores
Turn DoorDash store URLs into structured data: the name, full address and coordinates, rating and number of ratings, price range, and whether the restaurant offers delivery, pickup, or group orders.
You can access the DoorDash Store Details Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
![🍴Uber Eats Scraper [PPR] avatar](https://images.apifyusercontent.com/VyczuTihxTYqu82dr0B6HepFaoDhEkqNx7bRIXZtSIc/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbnJRZVVKUGJlSkxWVnNYUEgvNEluWnUzcDBTdDc3cmoxTngtc01Ha0xwSDZXTUlhejFIejctdWJlci1lYXRzLWxvZ28tMS0zMDB4MzAwLnBuZw.webp){kind=avatar}
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "startUrls": [{ "url": "https://www.doordash.com/store/tim-hortons-bangor-1153600/" }] }9
10# Run the Actor and wait for it to finish11run = client.actor("tri_angle/doordash-store-details-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use DoorDash Store Details Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: