DeliveryData Scraper - Export Restaurant & Menu Data

Extract restaurants, menus, prices & reviews from DoorDash. One-click export to CSV, Excel, JSON.

As of June 2026, DeliveryData Scraper - Export Restaurant & Menu Data has 46 users and a 5.00/5 rating from 1 reviews in the Productivity category.

Usersup 206.7 percent+206.7%
46
46
Ratingno change0%
5.00
1 reviews
Reviewsno change0%
1
Version
1.3
Manifest V3
90-day change · In the last 90 days this extension 1 version update.

History

8 snapshots

Tracking since Apr 1, 2026.

50.6431.512.36Apr 1, 2026Jun 9, 2026
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DateUsersRatingReviewsVersion
Apr 1, 2026155.0011.2
Apr 19, 2026185.0011.2
Apr 28, 2026265.0011.2
May 8, 2026305.0011.2
May 16, 2026385.0011.2
May 25, 2026435.0011.2
Jun 4, 2026465.0011.2
Jun 9, 2026485.0011.3
Now465.0011.3

Changelog

  • Jun 4, 2026
    description
    # DoorDash Scraper - Export Restaurant & Menu Data
    
    ## Stop Wasting Hours on Manual Data Collection
    
    If you've ever tried to gather restaurant data from DoorDash for market research, competitor analysis, or business intelligence, you know the pain. Endless scrolling. Copy-pasting one item at a time. Switching between tabs. Formatting spreadsheets manually. What should take minutes ends up consuming your entire afternoon.
    
    DoorDash Scraper eliminates this frustration completely. Extract hundreds of restaurants, menu items, prices, and reviews in seconds—not hours. Export everything to your preferred format with a single click.
    
    ---
    
    ## The Problem Every Food Industry Professional Faces
    
    ### Manual Data Collection Is Broken
    
    The food delivery market moves fast. Restaurant owners need to track competitor pricing. Market researchers need comprehensive datasets. Consultants need accurate information for their clients. Food bloggers need organized data for content creation.
    
    But DoorDash wasn't built for data extraction. There's no export button. No API access for casual users. No way to download the information you're looking at on your screen.
    
    So what do most people do? They resort to the most tedious method possible:
    
    1. Open a restaurant page
    2. Manually copy the restaurant name
    3. Switch to a spreadsheet
    4. Paste the name
    5. Go back to DoorDash
    6. Copy the address
    7. Switch to spreadsheet again
    8. Repeat for every single field
    9. Move to the next restaurant
    10. Start the entire process over
    
    For a single restaurant with 50 menu items, this process can take 30 minutes or more. For a dataset of 100 restaurants? You're looking at days of mind-numbing work.
    
    ### The Hidden Costs of Manual Methods
    
    Time isn't the only thing you lose with manual data collection:
    
    **Accuracy suffers.** When you're copying and pasting hundreds of data points, mistakes happen. A misplaced decimal in a price. A typo in a restaurant name. An entire row accidentally skipped. These errors compound and contaminate your entire dataset.
    
    **Consistency disappears.** Different team members format data differently. One person uses "$$" for pricing, another writes "moderate." One includes full addresses, another only writes city names. Your spreadsheet becomes a mess of inconsistent entries.
    
    **Opportunities vanish.** While you're stuck copying data, your competitors are already analyzing it. The restaurant that just changed their pricing? You won't notice for weeks. The new trending cuisine in your area? You're too busy with data entry to spot the pattern.
    
    ---
    
    ## How DoorDash Scraper Solves These Problems
    
    ### Instant Data Extraction
    
    DoorDash Scraper works directly in your browser. Navigate to any DoorDash page—a search results page, a restaurant listing, or a menu—and the extension automatically detects extractable data.
    
    Click the extension icon. Select what you want to capture. Hit extract. Done.
    
    The extension reads the page structure and pulls all relevant information into a clean, organized format. Restaurant names, addresses, ratings, review counts, delivery times, fee structures, menu categories, item names, descriptions, prices, dietary tags—everything visible on the page becomes exportable data.
    
    ### Multiple Data Types, One Tool
    
    Different projects require different data. DoorDash Scraper handles them all:
    
    **Restaurant Listings**
    Extract bulk restaurant data from search results and category pages. Capture business names, locations, cuisine types, ratings, review counts, delivery fees, estimated delivery times, and promotional offers. Perfect for competitive analysis and market mapping.
    
    **Menu Data**
    Dive deep into individual restaurant menus. Extract every item name, description, price, and modifier option. Capture category structures and dietary information. Ideal for pricing analysis and menu optimization research.
    
    **Review Information**
    Gather customer feedback data including ratings, review text, and timestamps. Understand what customers love and hate about specific restaurants. Essential for reputation analysis and service improvement insights.
    
    ### Export Flexibility
    
    Raw data is only useful if you can work with it. DoorDash Scraper supports multiple export formats to fit your workflow:
    
    **CSV** - The universal format. Opens in Excel, Google Sheets, Numbers, and virtually every data analysis tool. Perfect for spreadsheet work and database imports.
    
    **JSON** - Structured data for developers and technical users. Maintains data hierarchy and relationships. Ideal for feeding into applications, scripts, and automated workflows.
    
    **Excel** - Native spreadsheet format with proper column formatting. Ready for immediate analysis without additional formatting steps.
    
    **HTML** - Formatted tables for reports and presentations. Copy directly into documents or view in any browser.
    
    **XML** - Standard markup format for system integrations and enterprise workflows.
    
    ### Customizable Field Selection
    
    Not every project needs every data point. DoorDash Scraper lets you choose exactly what to extract:
    
    - Select or deselect individual fields before export
    - Rename column headers to match your existing data structure
    - Reorder fields to fit your preferred layout
    - Save custom configurations for repeated use
    
    Extract only restaurant names and prices for a quick pricing survey. Or capture everything for a comprehensive market study. The choice is yours.
    
    ---
    
    ## Real-World Applications
    
    ### For Restaurant Owners and Operators
    
    **Competitive Pricing Intelligence**
    
    Your competitors change their prices constantly. A burger that cost $12 last month might be $14 today. Without systematic tracking, you're always guessing where you stand in the market.
    
    DoorDash Scraper lets you extract competitor menus regularly. Build a pricing database. Track changes over time. Make informed decisions about your own pricing strategy based on real market data, not assumptions.
    
    **Menu Optimization Research**
    
    What menu items are popular in your area? What price points work for different cuisines? How do successful restaurants structure their menus?
    
    Extract menu data from top-performing restaurants in your market. Analyze item counts, category structures, price distributions, and description patterns. Apply these insights to optimize your own menu.
    
    **Market Gap Analysis**
    
    Looking to expand or launch a new concept? Understanding the existing competitive landscape is crucial.
    
    Extract restaurant data across different neighborhoods and cuisines. Identify underserved areas and cuisine types. Find opportunities where demand exists but supply is limited.
    
    ### For Market Researchers and Analysts
    
    **Food Delivery Market Studies**
    
    The food delivery industry generates billions in revenue. Understanding market dynamics requires comprehensive data.
    
    DoorDash Scraper enables systematic data collection across markets, time periods, and restaurant categories. Build datasets that reveal pricing trends, cuisine popularity, delivery fee structures, and promotional patterns.
    
    **Consumer Behavior Analysis**
    
    Review data tells stories about consumer preferences. What do customers value? What drives complaints? How do expectations vary by cuisine type or price point?
    
    Extract review data to perform sentiment analysis and identify patterns. Understand what makes restaurants successful from the customer's perspective.
    
    **Geographic Market Mapping**
    
    Food delivery markets vary dramatically by location. Urban centers differ from suburbs. College towns differ from business districts.
    
    Collect restaurant data across different areas to map market characteristics. Identify regional preferences, pricing variations, and competitive density patterns.
    
    ### For Consultants and Agencies
    
    **Client Deliverables**
    
    Your clients expect data-driven recommendations. Manual research is too slow and too expensive to be practical.
    
    DoorDash Scraper accelerates your research phase. Gather comprehensive market data quickly. Spend your time on analysis and strategy instead of data entry.
    
    **Competitive Audits**
    
    When clients ask how they compare to competitors, you need facts, not opinions.
    
    Extract competitor data systematically. Create detailed comparison reports with accurate pricing, menu structures, and customer ratings. Deliver insights backed by real data.
    
    **Market Entry Analysis**
    
    Clients considering new markets need to understand local competition before committing resources.
    
    Survey the competitive landscape efficiently. Identify key players, pricing norms, and market gaps. Provide the intelligence clients need to make informed expansion decisions.
    
    ### For Developers and Technical Teams
    
    **Application Data Feeds**
    
    Building a food-related application? You need data to work with.
    
    DoorDash Scraper exports clean JSON that integrates directly into your development workflow. Populate databases, test algorithms, and prototype features with real-world data.
    
    **Data Pipeline Integration**
    
    Technical teams often need to feed data into larger systems and workflows.
    
    Export formats work with common data processing tools. Import into databases, feed into analysis scripts, or connect with business intelligence platforms.
    
    ---
    
    ## How It Works
    
    ### Step 1: Navigate
    
    Open DoorDash in your browser. Navigate to the page containing the data you want—search results, restaurant listings, or individual menus.
    
    ### Step 2: Extract
    
    Click the DoorDash Scraper icon in your browser toolbar. The extension scans the page and identifies extractable data. Select the data type you want to capture and click extract.
    
    ### Step 3: Review
    
    Preview your extracted data before exporting. Select or deselect individual records. Customize field names and ordering if needed.
    
    ### Step 4: Export
    
    Choose your export format. Click export. Your data downloads immediately, ready for use in your preferred application.
    
    ---
    
    ## Technical Details
    
    ### Browser Compatibility
    
    DoorDash Scraper is built for modern Chrome browsers. The extension uses Manifest V3, Google's latest extension platform, ensuring compatibility with current and future Chrome versions.
    
    ### Data Processing
    
    All data processing happens locally in your browser. Your extracted data never passes through external servers. What you see on DoorDash is what you get in your export—nothing more, nothing less.
    
    ### Performance
    
    The extension is designed for efficiency. Extract hundreds of records without slowing down your browser. Large datasets export quickly regardless of format.
    
    ### Privacy
    
    DoorDash Scraper only accesses DoorDash.com pages. The extension cannot read data from other websites or access your browsing history. Permissions are limited to exactly what's needed for the extension to function.
    
    ---
    
    ## Getting Started
    
    ### Installation
    
    1. Click "Add to Chrome" on the extension page
    2. Confirm the installation when prompted
    3. The DoorDash Scraper icon appears in your browser toolbar
    
    ### First Extraction
    
    1. Visit doordash.com
    2. Navigate to a page with restaurant or menu data
    3. Click the extension icon
    4. Select your data type
    5. Click extract
    6. Review and export
    
    ### Tips for Best Results
    
    **Let pages load completely.** The extension reads data from the visible page. Make sure all content has loaded before extracting.
    
    **Scroll to load more data.** DoorDash uses infinite scrolling. Scroll down to load additional restaurants before extracting from search results.
    
    **Use filters strategically.** Apply DoorDash's built-in filters to narrow results before extraction. Extract exactly the dataset you need.
    
    ---
    
    ## Frequently Asked Questions
    
    ### What data can I extract?
    
    You can extract any data visible on DoorDash pages, including restaurant names, addresses, ratings, review counts, delivery information, menu items, prices, descriptions, and dietary tags.
    
    ### Does this work with all DoorDash pages?
    
    The extension works with restaurant search results, category listings, individual restaurant pages, and menu pages on doordash.com.
    
    ### How much data can I extract at once?
    
    There's no hard limit. Extract as many restaurants or menu items as are visible on the page. For very large datasets, we recommend extracting in batches for optimal performance.
    
    ### Is the exported data accurate?
    
    The extension extracts exactly what appears on the DoorDash page. Data accuracy matches what you see on the website at the time of extraction.
    
    ### Can I automate repeated extractions?
    
    The current version requires manual extraction. Navigate to the page, click extract, and export. This ensures you control exactly what data you collect.
    
    ### What export formats are supported?
    
    CSV, JSON, Excel, HTML, and XML. Choose the format that works best with your tools and workflow.
    
    ---
    
    ## Why Choose DoorDash Scraper
    
    ### Built for Efficiency
    
    Every feature is designed to save time. No unnecessary steps. No complicated configuration. Navigate, extract, export. Three steps from page to data file.
    
    ### Focused Functionality
    
    This extension does one thing and does it well: extract DoorDash data. No bloated feature sets. No confusing options. Just the tools you need to get your data.
    
    ### Reliable Performance
    
    Built on modern browser technology. Tested across different DoorDash page types. Consistent results every time you extract.
    
    ### Respectful Design
    
    No intrusive ads. No data collection. No account requirements for basic functionality. Install and start extracting immediately.
    
    ---
    
    ## Start Extracting Today
    
    Manual data collection is a solved problem. Stop copying and pasting. Stop wasting hours on tedious work. Stop settling for incomplete or inaccurate datasets.
    
    DoorDash Scraper gives you the data you need in the format you want, exactly when you need it. Install the extension and transform how you gather food delivery market intelligence.
    
    Your next market research project, competitive analysis, or pricing study is waiting. The data is right there on DoorDash. Now you have the tool to capture it.
    You need food delivery platform data. But getting it out is painful.
    
    Copying restaurant names, menu items, and prices one by one. Scrolling through endless listings. Clicking into each restaurant just to grab ratings and delivery fees. If you've ever tried to collect delivery platform data at scale, you know the drill - hours of repetitive clicking for a dataset that should take minutes.
    
    DeliveryData Scraper fixes this. One extension, all the public data you need, exported in seconds.
    
    
    WHY COLLECTING DELIVERY DATA IS SO HARD
    
    Food delivery platforms don't offer a public data export. There's no "download all restaurants" button. That leaves researchers, restaurant owners, and analysts stuck with two options: manual copy-paste or expensive third-party tools.
    
    - Restaurant details are scattered across search results and category pages
    - Menu items and prices require clicking into each restaurant individually
    - Ratings, reviews, and delivery fees are buried in different sections
    - There's no native way to compare pricing across multiple restaurants
    
    Most people end up with incomplete spreadsheets and wasted afternoons.
    
    This extension solves that by intercepting the data already loaded in your browser and letting you export it cleanly.
    
    
    WHAT THIS EXTENSION DOES
    
    DeliveryData Scraper runs entirely in your browser. It captures public data as pages load - no external servers, no API keys, no accounts required. Just navigate to any supported page and start collecting.
    
    Here's what you can extract:
    
    Restaurants - Names, cuisines, ratings, review counts, delivery fees, delivery times, distance, price ranges, and promotional offers.
    
    Menu Items - Item names, descriptions, prices, categories, dietary tags, and customization options.
    
    Reviews - Review text, ratings, timestamps, reviewer names, and order details.
    
    
    HOW IT WORKS
    
    1. Install the extension and navigate to any supported delivery platform page
    2. Click the extension icon to open the scraper panel
    3. Select what data you want to collect
    4. Hit scrape - the extension collects data as you scroll or auto-paginates for you
    5. Export to CSV, Excel, JSON, or HTML Table
    
    That's it. Most extractions finish in under a minute.
    
    
    REAL SCENARIOS WHERE THIS HELPS
    
    Competitive Pricing:
    You own a restaurant and want to see how competitors price similar dishes. Export menus from 20 nearby restaurants and compare prices by category.
    
    Market Research:
    You're launching a food delivery brand and need to understand the local landscape. Export all restaurants in your area with ratings, delivery fees, and cuisine types.
    
    Menu Analysis:
    You're a food consultant helping restaurants optimize their menus. Collect menu data from top-rated restaurants and analyze pricing patterns.
    
    Review Monitoring:
    You manage multiple restaurant locations. Export reviews across all your listings to track customer sentiment.
    
    
    WHAT THIS EXTENSION DOES NOT DO
    
    - Does not access private accounts or order history
    - Does not store your data on external servers
    - Does not place orders or interact with restaurants on your behalf
    - Does not require login credentials or API keys
    
    All processing happens locally. No scraped data leaves your browser.
    
    Permissions used:
    - Storage - Saves settings locally
    - Tabs - Opens pages for batch processing
    - Downloads - Saves exported files to your computer
    
    
    SUPPORTED PLATFORMS
    
    Currently works with DoorDash (doordash.com).
    
    
    USAGE NOTICE
    
    This extension provides tools for extracting publicly available data. Users are responsible for ensuring their use complies with applicable terms of service and local regulations.
    
    
    TRADEMARK
    
    DoorDash is a registered trademark of DoorDash, Inc. This extension is an independent tool and is not affiliated with, endorsed by, authorized, maintained, or sponsored by DoorDash, Inc.
  • Jun 4, 2026
    name
    DoorDash Scraper - Export Restaurant & Menu Data
    DeliveryData Scraper - Export Restaurant & Menu Data

Permissions & access

Permissions
storagetabsdownloads
Host access
None declared

Screenshots

DeliveryData Scraper - Export Restaurant & Menu Data screenshot 1

About

You need food delivery platform data. But getting it out is painful.

Copying restaurant names, menu items, and prices one by one. Scrolling through endless listings. Clicking into each restaurant just to grab ratings and delivery fees. If you've ever tried to collect delivery platform data at scale, you know the drill - hours of repetitive clicking for a dataset that should take minutes.

DeliveryData Scraper fixes this. One extension, all the public data you need, exported in seconds.


WHY COLLECTING DELIVERY DATA IS SO HARD

Food delivery platforms don't offer a public data export. There's no "download all restaurants" button. That leaves researchers, restaurant owners, and analysts stuck with two options: manual copy-paste or expensive third-party tools.

- Restaurant details are scattered across search results and category pages
- Menu items and prices require clicking into each restaurant individually
- Ratings, reviews, and delivery fees are buried in different sections
- There's no native way to compare pricing across multiple restaurants

Most people end up with incomplete spreadsheets and wasted afternoons.

This extension solves that by intercepting the data already loaded in your browser and letting you export it cleanly.


WHAT THIS EXTENSION DOES

DeliveryData Scraper runs entirely in your browser. It captures public data as pages load - no external servers, no API keys, no accounts required. Just navigate to any supported page and start collecting.

Here's what you can extract:

Restaurants - Names, cuisines, ratings, review counts, delivery fees, delivery times, distance, price ranges, and promotional offers.

Menu Items - Item names, descriptions, prices, categories, dietary tags, and customization options.

Reviews - Review text, ratings, timestamps, reviewer names, and order details.


HOW IT WORKS

1. Install the extension and navigate to any supported delivery platform page
2. Click the extension icon to open the scraper panel
3. Select what data you want to collect
4. Hit scrape - the extension collects data as you scroll or auto-paginates for you
5. Export to CSV, Excel, JSON, or HTML Table

That's it. Most extractions finish in under a minute.


REAL SCENARIOS WHERE THIS HELPS

Competitive Pricing:
You own a restaurant and want to see how competitors price similar dishes. Export menus from 20 nearby restaurants and compare prices by category.

Market Research:
You're launching a food delivery brand and need to understand the local landscape. Export all restaurants in your area with ratings, delivery fees, and cuisine types.

Menu Analysis:
You're a food consultant helping restaurants optimize their menus. Collect menu data from top-rated restaurants and analyze pricing patterns.

Review Monitoring:
You manage multiple restaurant locations. Export reviews across all your listings to track customer sentiment.


WHAT THIS EXTENSION DOES NOT DO

- Does not access private accounts or order history
- Does not store your data on external servers
- Does not place orders or interact with restaurants on your behalf
- Does not require login credentials or API keys

All processing happens locally. No scraped data leaves your browser.

Permissions used:
- Storage - Saves settings locally
- Tabs - Opens pages for batch processing
- Downloads - Saves exported files to your computer


SUPPORTED PLATFORMS

Currently works with DoorDash (doordash.com).


USAGE NOTICE

This extension provides tools for extracting publicly available data. Users are responsible for ensuring their use complies with applicable terms of service and local regulations.


TRADEMARK

DoorDash is a registered trademark of DoorDash, Inc. This extension is an independent tool and is not affiliated with, endorsed by, authorized, maintained, or sponsored by DoorDash, Inc.

Technical

Version
1.3
Manifest
V3
Size
577KiB
Min Chrome
88
Languages
1
Featured
No

Metadata

ID
djcieancagkeiofgcchpcljjepndbgll
Developer ID
uea164fba66b73e63f4ca4cf81eb1681a
Developer Email
[email protected]
Created
Dec 31, 2025
Last Updated (Store)
Jun 1, 2026
Last Scraped
Jun 9, 2026
Website
Support URL
Privacy Policy

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Data sourced from the Chrome Web Store · last verified Jun 9, 2026.