DoorDash Review Scraper Free To Use
Pricing
Pay per usage
Scrape customer reviews from any DoorDash store 🍔 Extract star ratings ⭐, review text, reviewer profiles 👤, ordered items with prices 🧾, vote ratings, and photo attachments 📸
Pricing
Pay per usage
Rating
5.0
(1)
Developer
FlowExtract API
Maintained by CommunityActor stats
3
Bookmarked
5
Total users
4
Monthly active users
9 hours ago
Last modified
Categories
Share
You can access the DoorDash Review Scraper Free To Use 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 Integrations settings in Apify Console.
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 = {9 "startUrls": [10 { "url": "https://www.doordash.com/store/mcdonalds-20919" },11 { "url": "https://www.doordash.com/store/the-cheesecake-factory-atlanta-24546/94546964/" },12 { "url": "https://www.doordash.com/store/ajay%E2%80%99s-kitchen-atlanta-1557369/83201422/" },13 ],14 "maxReviews": 10,15}16
17# Run the Actor and wait for it to finish18run = client.actor("dz_omar/doordash-review-scraper").call(run_input=run_input)19
20# Fetch and print Actor results from the run's dataset (if there are any)21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])22for item in client.dataset(run["defaultDatasetId"]).iterate_items():23 print(item)24
25# 📚 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 Review Scraper Free To Use API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: