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DoorDash Scraper – Scrape DoorDash Restaurant Menu Data

RealdataAPI / DoorDash Scraper

The Real Data API provides an advanced DoorDash Scraper for retrieving DoorDash restaurant menu data from a range of countries, including the USA, UK, UAE, India, Canada, France, Germany, Spain, Italy, and Mexico. Build better marketing and delivery strategies using real-time accurate data. Use the DoorDash Scraper API for smooth integration and data extraction streamlining.

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What is DoorDash?

DoorDash is a food delivery service that connects customers with local restaurants and delivery drivers. It allows users to order food for delivery or pick-up from various restaurants through its app or website.

What is DoorDash Scraper?

A DoorDash Scraper is a tool used for DoorDash Restaurant Menu Data Collection and Web Scraping DoorDash Food Delivery Data, enabling businesses to extract real-time data on restaurant menus, prices, and availability.

Input Example of DoorDash Scraper

{
    "city": "San Francisco",
    "category": "Pizza"
    "limit": 10
}

Output Example of DoorDash Scraper


{
    "restaurants": [
        {
            "id": "3456789",
            "name": "Joe's Pizza",
            "rating": 4.5,
            "cuisine": "Pizza",
            "location": {
                "address": "1234 Elm Street",
                "city": "San Francisco",
                "zipcode": "94110",
                "country": "USA",
                "latitude": 37.7749,
                "longitude": -122.4194,
                "delivery_time": "20-30 minutes"
            },
            "menu": [
                {
                    "item_id": "1001",
                    "name": "Classic Margherita Pizza",
                    "description": "Tomato, mozzarella, and fresh basil.",
                    "price": "$12.99",
                    "category": "Pizzas",
                    "availability": true,
                    "image_url": "https://www.example.com/images/margherita.jpg"
                },
                {
                    "item_id": "1002",
                    "name": "Pepperoni Pizza",
                    "description": "Classic pepperoni with mozzarella cheese.",
                    "price": "$14.99",
                    "category": "Pizzas",
                    "availability": true,
                    "image_url": "https://www.example.com/images/pepperoni.jpg"
                }
            ],
            "contact": {
            "phone": "+14155551234",
            "website": "https://www.joespizza.com",
            "social_media": {
                "facebook": "https://www.facebook.com/joespizzasf",
                "twitter": "https://www.twitter.com/joespizzasf"
            }
        },
        "operating_hours": {
            "monday": "10:00 AM - 11:00 PM",
            "tuesday": "10:00 AM - 11:00 PM",
            "wednesday": "10:00 AM - 11:00 PM",
            "thursday": "10:00 AM - 11:00 PM",
            "friday": "10:00 AM - 12:00 AM",
            "saturday": "10:00 AM - 12:00 AM",
            "sunday": "10:00 AM - 10:00 PM"
        },
        "payment_methods": [
            "Cash",
            "Credit Card",
            "Apple Pay"
            ]
    },{
            "id": "3456790",
            "name": "Pizza Hut",
            "rating": 4.0,
            "cuisine": "Pizza",
            "location": {
            "address": "5678 Oak Avenue",
            "city": "San Francisco",
            "zipcode": "94107",
            "country": "USA",
            "latitude": 37.7760,
            "longitude":  -122.4170,
            "delivery_time": "25-35 minutes"
            },
            "menu": [
            {
            "item_id": "2001"
            "name": "Hawaiian Pizza"
            "description": "Pineapple, ham, and cheese."
            "price": "$13.99"
            "category": "Pizzas"
            "availability": "true"
            "image_url": "https://www.example.com/images/hawaiian.jpg"
            },
            {
                "item_id": "2002"
            "name": "Vegetarian Pizza"
            "description": "Bell peppers, onions, olives, mushrooms."
            "price": "$15.99"
            "category": "Pizzas"
            "availability": "true"
            "image_url": "https://www.example.com/images/vegetarian.jpg"
            }
            ],

            "contact": {
            "phone": "+14155553456",
            "website": "https://www.pizzahut.com",
            "social_media": {
                "facebook": "https://www.facebook.com/pizzahut",
                "twitter": "https://www.twitter.com/pizzahut"
            }
        },
        "operating_hours": {
            "monday": "10:00 AM - 12:00 AM",
            "tuesday": "10:00 AM - 12:00 AM",
            "wednesday": "10:00 AM - 12:00 AM",
            "thursday": "10:00 AM - 12:00 AM",
            "friday": "10:00 AM - 2:00 AM",
            "saturday": "10:00 AM - 2:00 AM",
            "sunday": "10:00 AM - 12:00 AM"
        },
        "payment_methods": [
            "Cash",
            "Credit Card",
            "PayPal"
            ]
    }],
    "pagination": {
    "page": 1
    "limit": 10
    "total": 50
    }
    }

Optional Parameters for DoorDash Data Scraper

Parameter Title Type Default Example Description
rating Minimum Rating string 4 Filter restaurants with a minimum rating (e.g., 4 stars).
search Search Query string pizza Search for restaurants or menu items based on a keyword.
location Delivery Location string New York Filter restaurants by a specific delivery location.
cuisine Cuisine Type string Italian Filter restaurants by a specific cuisine type.
price_range Price Range string 2 Filter restaurants by a specific price range (e.g., 1-3).
page Page Number integer 1 2 Specify the page number for paginated results.
sort_by Sort By string rating delivery_time Sort results by parameters like rating, price, or delivery_time.
delivery_time Delivery Time string 30 minutes Filter restaurants by delivery time.
restaurant_id Restaurant ID string 123456 Fetch data from a specific restaurant by its ID.

Required Parameters for DoorDash Restaurant Data Scraper

Parameter Title Type Default Example Description
Location Delivery Location string New York The required location parameter to specify where the user wants food delivered.
restarant_id Restaurant ID string 123456 The unique identifier for a specific restaurant (required for scraping a particular restarant's menu).
search Search Query string pizza A required parameter to search for restaurants or specific menu items.

Pagination

Parameter Title Type Default Example Description
limit Limit integer 5 10 The maximum number of results to return per page.
sort Sorting string rating A string to sort the results by specific keys, e.g., rating, distance, popularity.

Classification

Parameter Title Type Default Example Description
category Category string Fast Food The category of food or restaurant type e.g., Fast Food, Mexican, Italian.
cuisines Cuisines string Pizza, Italian The specific cuisine types offered by the restaurant.
establishment Establishment string Restaurant The type of establishment such as Restaurant, Cafe, Bar, etc.

Pricing

Parameter Title Type Default Example Description
min_cost Minimum Cost integer 10 The minimum cost for two people for a meal at a resturant.
max_cost Maximum Cost integer 50 The maximum cost for two people for a meal at a resturant.

Features

Parameter Title Type Default Example Description
features:afternoon-tea Afternoon Tea boolean true/false Indicates if the restaurant offers afternoon tea.
features:brunch Brunch boolean true/false Indicates if the restaurant serves brunch.
features:bar Serves Alcohol boolean true/false Indicates if the restaurant serves alcohol.
features:buffet Buffet boolean true/false Indicates if the restaurant offers a buffet.
features:byob BYOB boolean true/false Indicates if the restaurant allows Bring Your Own Bottle (BYOB).
features:child-friendly Kid Friendly boolean true/false Indicates if the restaurant is kid-friendly.

Is it Legal to Scrape DoorDash?

The legality of scraping DoorDash, or any other website, depends on several factors, including the website's terms of service, the type of data being scraped, and how the scraping is done.

In general, scraping DoorDash falls under legal and ethical considerations related to data ownership, user consent, and fair use of publicly available data. Here’s an overview of the main points to consider:

Terms of Service Violations

DoorDash, like most websites, has terms of service that typically prohibit unauthorized scraping. If you scrape DoorDash without permission, you could be in violation of these terms, which may result in account suspension, legal action, or other consequences.

It’s important to review DoorDash’s Terms of Service and ensure that you're not violating any clauses related to data extraction and usage.

Public vs. Private Data

Scraping publicly accessible data like restaurant menus or product pricing may fall into a gray area. While this data is publicly visible, some websites may still limit automated access, especially when it's used for commercial purposes.

DoorDash Food Delivery Scraping API may offer a more formalized and legal way to gather data within the platform’s parameters, as it's likely designed with terms that allow data extraction for specific use cases.

Fair Use

If you’re scraping data for personal use, research, or educational purposes, it may fall under fair use in some jurisdictions. However, scraping data for commercial gain without permission can lead to legal complications.

The use of DoorDash Menu API or any authorized data APIs ensures compliance with legal guidelines, as these are typically governed by terms designed to protect both the service and the users.

Rate Limiting and Ethical Scraping

If you’re scraping DoorDash Food Delivery App Data, it's essential to implement ethical scraping practices. These include respecting rate limits, not overloading the website’s servers, and not scraping sensitive data (e.g., personal customer info).

Consider using a service like DoorDash Food Delivery Scraping API, which provides data in a structured, ethical way while adhering to DoorDash’s limitations.

Legal Precedents

There are cases where businesses have been sued for scraping, such as LinkedIn vs. hiQ Labs, highlighting the risks of scraping without proper permission.

It’s vital to understand the legal landscape in your jurisdiction and consult with a legal professional before proceeding with any web scraping activities.

While scraping DoorDash may be possible, it’s crucial to ensure that your actions comply with DoorDash’s terms, follow ethical guidelines, and use legitimate tools like the DoorDash Menu API or a DoorDash Food Delivery Scraping API to avoid legal challenges. Always prioritize transparency, respect, and adherence to rules when scraping data for commercial or personal use.

Industries

Check out how industries use Zomato Scraper worldwide.

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E-commerce & Retail

You should have a Real Data API account to execute the program examples. Replace < YOUR_API_TOKEN> in the program using the token of your scraper. Read about the live APIs with Real Data API docs for more explanation. 

import { RealdataAPIClient } from 'RealdataAPI-Client';

// Initialize the RealdataAPIClient with API token
const client = new RealdataAPIClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare actor input
const input = {
    "location": "London"
};

(async () => {
    // Run the actor and wait for it to finish
    const run = await client.actor("jupri/zomato").call(input);

    // Fetch and print actor results from the run's dataset (if any)
    console.log('Results from dataset');
    const { items } = await client.dataset(run.defaultDatasetId).listItems();
    items.forEach((item) => {
        console.dir(item);
    });
})();

from RealdataAPI_client import RealdataAPIClient

# Initialize the RealdataAPIClient with your API token
client = RealdataAPIClient("<YOUR_API_TOKEN>")

# Prepare the actor input
run_input = { "location": "London" }

# Run the actor and wait for it to finish
run = client.actor("jupri/zomato").call(run_input=run_input)

# Fetch and print actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# Set API token
API_TOKEN=<YOUR_API_TOKEN>

# Prepare actor input
cat > input.json <<'EOF'
{
  "location": "London"
}
EOF

# Run the actor
curl "https://api.RealdataAPI.com/v2/acts/jupri~zomato/runs?token=$API_TOKEN" /
  -X POST /
  -d @input.json /
  -H 'Content-Type: application/json'

Location

location Required String

It is an input field to share the location where you wish to eat something.

Rating

rating Optional Enum

Minimal rating

Options:

5 string, 4.5 string, 4 string, 3.5 string

Search

search Optional String

Sorting

sort Optional Enum

It is an optional field to sort output using keys.

Options:

Cost string, Rating string, Popularity string

Limit

limit Optional Integer

Number of results

Minimum Cost

min_cost Optional Integer

It is an optional integer for the least cost for two.

Maximum Cost

max_cost Optional Integer

It is an optional integer for the max cost for two.

Category

category Optional Enum

Options:

1 string, 2 string, 3 string

Afternoon Tea

features:afternoon-tea Optional Boolean

Establishment

establishment Optional String

Cuisines

cuisines Optional String

Buffet

features:buffet Optional Boolean

Serves Alcohol

features:bar Optional Boolean

Brunch

features:brunch Optional Boolean

BYOB

features:byob Optional Boolean

Kid Friendly

features:child-friendly Optional Boolean

Cheap Eats

features:cheap-eats Optional Boolean

Credit Card

features:credit-card Optional Boolean

Healthy Food

features:healthy-food Optional Boolean

Desserts and Bakes

features:desserts-bakes Optional Boolean

Halal Meat

features:halal Optional Boolean

Happy hours

features:happyhour Optional Boolean

Live Sports Screening

features:live-screening Optional Boolean

Luxury Dining

features:luxury-dining Optional Boolean

Live Music

features:music Optional Boolean

Private Dining Area

features:private-rooms Optional Boolean

Outdoor Seating

features:outdoor Optional Boolean

Dog Friendly

features:pet-friendly Optional Boolean

Wifi

features:wifi Optional Boolean

Sports Bar

features:sports_bar Optional Boolean

Pure Veg

features:veg Optional Boolean

Weekend Brunch

features:weekend_brunch Optional Boolean

Wheelchair Accessible

features:wheelchair-accessible Optional Boolean 
{
  "location": "London",
  "limit": 5
}
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Disclaimer : Real Data API only extracts publicly available data while maintaining a strict policy against collecting any personal or identity-related information.