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DoorDash Reviews Scraper

Extract customer reviews from DoorDash restaurant and store pages - rating, review text, date, reviewer name, and the place URL - with no DoorDash API required.

What does DoorDash Reviews Scraper do?

DoorDash Reviews Scraper collects customer reviews from restaurant and store listings on DoorDash, the largest food-delivery marketplace in the United States. On DoorDash, a merchant's star rating is the difference between a customer ordering and scrolling past, so reviews are the signal that drives orders. Paste DoorDash store URLs, set how many reviews you want per place, and the Actor returns structured records ready to export to JSON, CSV, or Excel. No DoorDash API or login required.

• ⭐ Full review data - rating, free-text review, and date
• 🍔 Per-place collection - pull reviews for any DoorDash restaurant or store
• 👤 Reviewer details - display name and user ID on every review
• 🔗 Place link - each review carries the DoorDash store URL it came from
• 📊 Clean output - structured records ready for analysis

What data can you extract from DoorDash reviews?

Review data	Reviewer	Place and identifiers
⭐ Star rating	👤 Reviewer name	🏬 Place ID
💬 Review text	🆔 Reviewer user ID	🔗 Store URL
📅 Review date		🆔 Review ID

Can I set how many reviews to pull per DoorDash place?

Yes. Set maxReviewsPerPlace to cap how many reviews the Actor collects for each store in your run. Keep it low for a quick sentiment sample, or raise it to pull the full history for a busy restaurant.

How does DoorDash Reviews Scraper work?

1. Add one or more DoorDash store page URLs to startUrls
2. Set maxReviewsPerPlace to control how many reviews to pull per place
3. The Actor visits each store page and reads its published reviews
4. Results stream to a dataset you can preview or export as JSON, CSV, or Excel

How to use DoorDash Reviews Scraper

1. Create a free Apify account
2. Paste DoorDash store page URLs
3. Set how many reviews to collect per place
4. Click Start
5. Download your data from the Dataset tab

Input example

{
  "startUrls": [
    { "url": "https://www.doordash.com/store/a-place-123456/" }
  ],
  "maxReviewsPerPlace": 30
}

What does the output look like?

Each review is one structured record, with the reviewer and the source place nested inside:

{
  "id": "7171c5c8-0160-4a1b-bcc7-08c4d068afdd",
  "date": "2022-06-08T02:22:06.346903Z",
  "rating": 5,
  "text": "The meatball sub and tuna melt were made perfectly to order and still warm when I got home. Will definitely order from this location again.",
  "user": {
    "userId": "123456789",
    "name": "Trisha C"
  },
  "placeInfo": {
    "id": "123456",
    "url": "https://www.doordash.com/store/a-place-123456/"
  }
}

Why use DoorDash Reviews Scraper?

Feature	Manual or copy-paste	DoorDash Reviews Scraper
Volume	A few reviews at a time	Hundreds of reviews per run
Reviewer data	Read it off the page	Name and user ID on every record
Source tracking	None	Place ID and store URL per review
Scale	Hours of work	Minutes, automated
Export	None	JSON, CSV, Excel

What can you do with DoorDash review data?

• Restaurant reputation monitoring - multi-location operators track ratings and complaints across every storefront on DoorDash from one dataset
• Food-delivery competitor analysis - benchmark a rival restaurant's star rating and recurring praise or gripes before opening nearby
• Menu and quality feedback - mine review text for dishes that get called out by name, late deliveries, or portion complaints
• Ghost-kitchen and franchise audits - brands running many DoorDash listings spot the outlets dragging the average down

For ongoing monitoring, schedule the Actor daily for high-volume restaurants or weekly for steady ones.

How much does DoorDash Reviews Scraper cost?

DoorDash Reviews Scraper uses Apify's pay-per-event pricing: a small fee each time a run starts, plus a per-result fee of $0.60 per 1,000 reviews on the free tier. That per-review rate stays low across plans and the start fee drops on higher tiers. Apify gives you $5 in free usage credits every month on the free plan, enough to collect thousands of reviews at no cost. See the Actor's Pricing tab for the current rate on each plan.

How do I run DoorDash Reviews Scraper via the Apify API?

curl -X POST "https://api.apify.com/v2/acts/e-commerce~doordash-reviews-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "startUrls": [{ "url": "https://www.doordash.com/store/a-place-123456/" }],
    "maxReviewsPerPlace": 30
  }'

What can I integrate DoorDash Reviews Scraper with?

The Actor runs on the Apify platform, so its data feeds straight into the tools your team already uses:

• Google Sheets and Excel - build a restaurant review dashboard
• Make, Zapier, and n8n - kick off a workflow whenever new reviews appear
• Slack - get pinged when a restaurant's rating drops
• LangChain and MCP - pipe DoorDash reviews into AI agents and apps
• Apify API and webhooks - load reviews straight into your data warehouse

Limitations

• Collects only publicly visible reviews on a store page; it does not access private order data or buyer accounts.
• Reviewer display names are set by DoorDash and may be shortened or partial, so full names are not guaranteed.
• Targets DoorDash store and restaurant pages; coverage depends on the current page structure.

FAQ

Which DoorDash pages does it work on?

It works on DoorDash store and restaurant page URLs. Paste the store links you want into startUrls and the Actor pulls the reviews published on each one.

How many reviews can I collect per restaurant?

As many as the store page publishes, up to the maxReviewsPerPlace cap you set. Lower it for a quick sample or raise it to pull a busy restaurant's full review history.

Does each review say which restaurant it came from?

Yes. Every record includes a placeInfo object with the DoorDash place ID and the store URL, so reviews stay tied to their source when you collect from many restaurants at once.

Can I get the reviewer's identity?

Each review carries the reviewer's name and userId as shown publicly on DoorDash. The Actor does not collect private contact details.

Can I run DoorDash Reviews Scraper with the Apify API?

Yes. Start and schedule runs over the Apify REST API and pull results programmatically using the apify-client packages for Node.js or Python.

Does it work with MCP and AI agents?

Yes. Connect the Actor through the Apify MCP server and your AI agents can collect DoorDash reviews on demand.

Is it legal to scrape DoorDash reviews?

DoorDash is a US marketplace, and collecting publicly available data is generally legal. This Actor gathers only public reviews and the display names shown on store pages, not private order or account data. If your project handles personal data, make sure it complies with GDPR and other applicable rules, and read is web scraping legal? if you are unsure.

Related Actors

• 🛒 E-commerce Scraping Tool - get product data from DoorDash, Amazon, eBay, and any other e-commerce site
• 🍽️ UberEats Reviews Scraper - collect customer reviews from UberEats, the other major US food-delivery marketplace

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