LAGIC
Lead Audience Growth Intelligence Computing
D

DoorDash Reviews Scraper — DoorDash | Lagic

Built ForRestaurants & HospitalityMarketing & AdvertisingFranchise Management

Extract all customer reviews and ratings for any DoorDash restaurant.

Curated by Lagic·Verified working

Configure Agent

Doordash URLs to start with.

Maximum number of reviews scraped per each place.

Results to deliver

100 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

1 credit per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Star rating provided by the customer (1-5)The restaurant's unique ID and DoorDash URLThe reviewer's name and user IDThe date the review was publishedThe unique ID for each reviewThe full text content of the review
10090https://...Sample Text...2026-04-0510098Value...
10099https://...Sample Text...2026-04-0510091Value...
..................
Exports as:CSVXLSXJSON

Overview

Scrape customer reviews from any DoorDash restaurant page to analyze feedback. Get star ratings, review text, and user details to track customer sentiment and competitor performance.

Understanding what customers are saying is critical for any restaurant, but manually checking DoorDash for reviews is time-consuming and doesn't scale. This tool automates the process, letting you pull down all the raw feedback for one or multiple restaurant locations at once. ### Who is this for? * **Restaurant Owners & Managers:** Keep a close eye on customer feedback for your own locations to identify operational strengths and weaknesses. Address common complaints, and highlight positive reviews in your marketing. * **Marketing Agencies:** Monitor the online reputation for your restaurant clients. Track sentiment over time, compare their reviews against local competitors, and generate reports on public perception. * **Franchise Operators:** Compare customer feedback across different franchise locations. Identify high-performing stores and pinpoint locations that may need additional training or support based on recurring negative themes. * **Market Researchers:** Aggregate public opinion on specific restaurant chains, cuisine types, or geographic areas. Analyze trends in what customers value, from delivery speed to food quality. Simply provide a list of DoorDash restaurant URLs, specify how many reviews you want from each, and run the tool. You'll get a structured dataset containing the star rating, full review text, reviewer's name, and the date for each piece of feedback, ready for analysis in any spreadsheet or data visualization tool.

Key Capabilities

  • ✓ Star rating provided by the customer (1-5)
  • ✓ The restaurant's unique ID and DoorDash URL
  • ✓ The reviewer's name and user ID
  • ✓ The date the review was published
  • ✓ The unique ID for each review
  • ✓ The full text content of the review
  • ✓ A restaurant owner scrapes their own reviews weekly to catch recurring issues like 'cold fries' or 'late delivery'.
  • ✓ A marketing agency pulls reviews for their client and three direct competitors to create a quarterly competitive analysis report.
  • ✓ A franchise manager extracts reviews from all 20 locations in a state to identify top-performing stores and share best practices.
  • ✓ A food industry analyst gathers reviews for the top 10 pizza places in a major city to research trends in customer expectations.
  • ✓ An investor performs due diligence by scraping the last year of reviews for a restaurant chain they are considering acquiring.
  • ✓ A new ghost kitchen concept researches successful competitors by analyzing the positive review keywords for similar restaurants.

Field Dictionary

How To Run This Extractor

1

Find the restaurant pages on DoorDash that you want to analyze.

2

Copy the URLs and paste them into the 'Start URLs' field.

3

Specify the maximum number of reviews you want to get from each restaurant.

4

Click 'Run' to start the extraction process.

5

Once finished, preview the data and download it as a CSV, JSON, or Excel file.

Frequently Asked Questions

Do I need to be a developer to use this?
No. All you need is the DoorDash URL of the restaurant(s) you want to track. You can paste the URL(s), set the number of reviews, and run the tool.
What format does the data come in?
Is it legal to scrape reviews from DoorDash?
How many reviews can I scrape at once?
Can I use this for client work?
How is this different from a full reputation management suite?
How reliable is the data?
Can I schedule this to run automatically?
Is the data fresh?
How does pricing work?
Can I get reviews for just one specific restaurant?
What does the 'Max reviews per place' input do?