View all Scrapers
logo

Delivery.com Scraper - Extract Real-Time Delivery.com Data

RealdataAPI / delivery.com-scraper

Unlock the power of real-time food and delivery insights with our Delivery.com scraper. Businesses in the F&B sector can leverage accurate and structured data to monitor pricing, menu changes, restaurant availability, and customer preferences instantly. Our Delivery.com data scraping service enables brands to track competitor strategies, optimize pricing, and enhance customer engagement with actionable intelligence. By integrating our robust Food Data Scraping API, companies gain seamless access to scalable datasets that drive smarter decision-making. From restaurant aggregators to market researchers, our solutions empower businesses to stay competitive in the fast-moving online delivery ecosystem. Partner with Real Data API today and transform raw Delivery.com data into meaningful insights that fuel growth, efficiency, and long-term success.

Customize me! Report an issue Food

What is Delivery.com Data Scraper, and how does it work?

A Delivery.com data scraper is a powerful tool designed to collect structured information from Delivery.com, including restaurants, menus, pricing, and customer reviews. With solutions like a Delivery.com restaurant scraper or Delivery.com menu scraper, businesses can gather competitive insights and build datasets for analysis. For example, brands can leverage Delivery.com restaurant data to understand cuisine availability, track popular dishes, and monitor price fluctuations across regions. Some companies even use Delivery.com scraper South Korea to analyze international markets. By combining Delivery.com API integration with custom scripts, you can extract real-time Delivery.com data, making it easier to optimize pricing, update food catalogs, or support app development. With accuracy and scalability, Delivery.com scraping empowers data-driven growth.

Why extract data from Delivery.com?

Extracting data from Delivery.com unlocks massive opportunities for restaurants, aggregators, and market researchers. Using Delivery.com data extraction, businesses can track menu changes, price updates, and delivery availability across thousands of outlets. For food tech startups, a Delivery.com menu scraper helps build a unified Food Dataset for comparing offers and identifying trends. Restaurant chains use Delivery.com restaurant data to benchmark performance, while third-party services rely on Delivery.com restaurant scraper tools to monitor competitors in real time. Additionally, Delivery.com scraper South Korea and other localized tools enable regional insights for expansion planning. By leveraging a robust Food Data Scraping API, you can extract real-time Delivery.com data at scale, supporting decision-making in pricing strategies, product launches, and customer engagement.

Is it legal to extract Delivery.com data?

The legality of using a Delivery.com data scraper depends on methodology and compliance with local regulations. Publicly available Delivery.com restaurant data can typically be collected using a Delivery.com restaurant scraper or Delivery.com menu scraper, provided it does not violate terms of service. Businesses must avoid sensitive personal data and focus on open marketplace content like menus, pricing, and availability. When using Delivery.com scraper South Korea or other regional tools, companies should comply with regional laws. For safer operations, many opt for Delivery.com API integration to extract real-time Delivery.com data in a compliant manner. Additionally, datasets built through Food Data Scraping API ensure structured, accurate Delivery.com data extraction, giving businesses competitive intelligence without breaching compliance frameworks.

How can I extract data from Delivery.com?

There are multiple ways to extract real-time Delivery.com data efficiently. A Delivery.com restaurant scraper automates the collection of outlets, menu details, prices, and delivery options, while a Delivery.com menu scraper focuses on product-level details. With Delivery.com data extraction solutions, businesses can build comprehensive Food Datasets for analysis. Another method is Delivery.com API integration, which ensures structured access to data feeds. For cross-border projects, businesses may also use Delivery.com scraper South Korea to collect regional insights. By combining advanced tools like Food Data Scraping API, restaurants and researchers gain reliable access to Delivery.com restaurant data. Whether for competitor analysis, pricing strategies, or market research, Delivery.com scraping offers actionable insights at scale.

Do you want more Delivery.com scraping alternatives?

Yes! While a Delivery.com data scraper is highly effective, many businesses also explore scraping multiple platforms for a wider dataset. For example, combining Delivery.com restaurant data with UberEats, DoorDash, or Grubhub scraping offers stronger benchmarking. A Delivery.com restaurant scraper can be paired with Postmates or FoodPanda for regional coverage. Businesses using Delivery.com menu scraper solutions also benefit from integrating Zomato or Swiggy scraping for global reach. Similarly, Delivery.com scraper South Korea enables regional expansion studies. With tools like Food Data Scraping API, companies can extract real-time Delivery.com data and merge it with other Food Dataset sources. Exploring Delivery.com API integration alongside competitors ensures robust, multi-platform intelligence for growth, pricing, and innovation in the F&B sector.

Input options

The Delivery.com scraper offers flexible input options that allow businesses to define exactly what type of data they need. With the support of a Delivery.com data scraping service, users can set filters for restaurant categories, cuisine types, geographic locations, pricing ranges, or specific menu keywords. Inputs can also be scheduled by timeframes, enabling daily, weekly, or real-time updates. Bulk input is possible through CSV, Excel, or direct API calls, making it easier to manage larger datasets. For more advanced use, inputs can include delivery fees, promotions, or customer review tracking. These customizable input options ensure that the collected Delivery.com restaurant data aligns perfectly with business goals, whether for competitive analysis, pricing strategies, or customer experience optimization.

Sample Result of Delivery.com Data Scraper

{
  "meta": {
    "scraper": "Delivery.com Data Scraper",
    "version": "1.0.3",
    "snapshot_utc": "2025-08-22T12:45:00Z",
    "market": "KR",
    "query": {
      "city": "Seoul",
      "districts": ["Mapo-gu", "Gangnam-gu"],
      "cuisines": ["korean", "chicken", "noodles"],
      "min_rating": 4.0,
      "open_now": true
    },
    "pagination": {
      "page": 1,
      "page_size": 50,
      "returned": 2,
      "estimated_total": 987
    }
  },
  "restaurants": [
    {
      "restaurant_id": "dg_842019",
      "name": "Hongdae Yangnyeom Chicken",
      "brand": "HYC",
      "city": "Seoul",
      "district": "Mapo-gu",
      "coordinates": {
        "lat": 37.5579,
        "lng": 126.9245
      },
      "categories": ["chicken", "late-night"],
      "rating": 4.6,
      "reviews_count": 2134,
      "price_range": "₩₩",
      "is_open": true,
      "delivery_eta_min": 25,
      "delivery_eta_max": 40,
      "delivery_fee_won": 2500,
      "minimum_order_won": 12000,
      "promotions": [
        {
          "type": "discount",
          "label": "₩2,500 off over ₩20,000",
          "start": "2025-08-01",
          "end": "2025-08-31"
        }
      ],
      "operating_hours": {
        "mon": "10:30-23:30",
        "tue": "10:30-23:30",
        "wed": "10:30-23:30",
        "thu": "10:30-23:30",
        "fri": "10:30-01:00",
        "sat": "10:30-01:00",
        "sun": "11:00-22:00"
      },
      "menu": [
        {
          "section": "Signature Chicken",
          "items": [
            {
              "item_id": "mn_1001",
              "name": "Original Crispy (Half)",
              "description": "Half fried chicken with house seasoning",
              "price_won": 10900,
              "in_stock": true,
              "options": [
                {
                  "name": "Sauce",
                  "values": ["None", "Yangnyeom", "Garlic Soy"]
                },
                {
                  "name": "Extra Pickled Radish",
                  "values": ["Yes", "No"]
                }
              ],
              "nutrition": {
                "kcal": 780,
                "protein_g": 36
              }
            },
            {
              "item_id": "mn_1002",
              "name": "Yangnyeom (Full)",
              "description": "Sweet & spicy glazed whole chicken",
              "price_won": 19900,
              "in_stock": true,
              "options": [
                {
                  "name": "Heat Level",
                  "values": ["Mild", "Medium", "Hot"]
                }
              ]
            }
          ]
        },
        {
          "section": "Sides & Drinks",
          "items": [
            {
              "item_id": "mn_2001",
              "name": "Cheese Balls (6pc)",
              "price_won": 5900,
              "in_stock": false
            },
            {
              "item_id": "mn_2002",
              "name": "Cola 500ml",
              "price_won": 2000,
              "in_stock": true
            }
          ]
        }
      ],
      "last_updated_utc": "2025-08-22T12:44:12Z",
      "source": "Delivery.com"
    },
    {
      "restaurant_id": "dg_331204",
      "name": "Gangnam Bibimbap & Grill",
      "brand": null,
      "city": "Seoul",
      "district": "Gangnam-gu",
      "coordinates": {
        "lat": 37.4979,
        "lng": 127.0276
      },
      "categories": ["korean", "healthy", "vegetarian"],
      "rating": 4.4,
      "reviews_count": 998,
      "price_range": "₩₩",
      "is_open": true,
      "delivery_eta_min": 20,
      "delivery_eta_max": 35,
      "delivery_fee_won": 2000,
      "minimum_order_won": 10000,
      "promotions": [],
      "operating_hours": {
        "mon": "10:00-22:00",
        "tue": "10:00-22:00",
        "wed": "10:00-22:00",
        "thu": "10:00-22:00",
        "fri": "10:00-23:00",
        "sat": "10:00-23:00",
        "sun": "11:00-21:00"
      },
      "menu": [
        {
          "section": "Bibimbap",
          "items": [
            {
              "item_id": "mn_3001",
              "name": "Beef Bibimbap",
              "description": "Rice bowl with marinated beef and vegetables",
              "price_won": 9500,
              "in_stock": true,
              "options": [
                {
                  "name": "Spice Level",
                  "values": ["Mild", "Medium", "Hot"]
                },
                {
                  "name": "Egg",
                  "values": ["Fried", "Poached", "None"]
                }
              ]
            },
            {
              "item_id": "mn_3002",
              "name": "Vegetarian Bibimbap",
              "description": "Tofu, seasonal veggies, gochujang",
              "price_won": 8900,
              "in_stock": true
            }
          ]
        },
        {
          "section": "Grill",
          "items": [
            {
              "item_id": "mn_4001",
              "name": "Pork Bulgogi",
              "price_won": 12000,
              "in_stock": true,
              "options": [
                {
                  "name": "Rice",
                  "values": ["White", "Brown"]
                }
              ]
            }
          ]
        }
      ],
      "last_updated_utc": "2025-08-22T12:44:18Z",
      "source": "Delivery.com"
    }
  ],
  "analytics": {
    "summary": {
      "restaurants_count": 2,
      "avg_rating": 4.5,
      "avg_delivery_fee_won": 2250,
      "avg_eta_min": 22.5,
      "avg_eta_max": 37.5
    },
    "top_categories": [
      {
        "category": "korean",
        "restaurants": 2
      },
      {
        "category": "chicken",
        "restaurants": 1
      },
      {
        "category": "healthy",
        "restaurants": 1
      }
    ],
    "price_distribution": [
      {
        "bucket_won": "0-9,999",
        "items": 4
      },
      {
        "bucket_won": "10,000-14,999",
        "items": 3
      },
      {
        "bucket_won": "15,000-19,999",
        "items": 1
      },
      {
        "bucket_won": "20,000+",
        "items": 1
      }
    ]
  }
}
Integrations with Delivery.com Data Scraper – Delivery.com Data Extraction

The Delivery.com data extraction process is optimized for seamless integration with analytics platforms, BI tools, and CRMs. By connecting the Delivery.com scraper with structured Food Dataset inputs, businesses can automatically collect restaurant listings, menu items, pricing, promotions, and customer reviews. Integrating the scraper ensures continuous, real-time access to actionable insights, which is critical for market research, competitor monitoring, and trend analysis. Flexible integration options include JSON, CSV, Excel, and API endpoints, making it compatible with almost any business workflow. Automated scheduling and batch extraction allow companies to update datasets daily, weekly, or in real time, ensuring decisions are always based on current data. This integration empowers organizations to improve pricing strategies, optimize menu offerings, and enhance operational efficiency in South Korea’s food delivery market.

Executing Delivery.com Data Scraping Actor with Real Data API – Food Data Scraping API

Executing the Delivery.com scraper through a Food Data Scraping API enables businesses to Extract Real-Time Delivery.com Data efficiently. The actor can pull structured information on restaurant names, menus, pricing, promotions, delivery fees, and customer reviews directly into internal systems or dashboards. This approach supports continuous monitoring of food delivery trends, competitor pricing, and menu updates, which is essential for analytics, reporting, and strategic planning. With a robust Delivery.com data extraction setup, companies can automate workflows, reduce manual effort, and maintain up-to-date datasets for decision-making. API-driven execution ensures scalability and reliability, enabling startups, retailers, and research teams to gain real-time insights and optimize operations in South Korea’s dynamic food delivery ecosystem.

Related Scrapers

Zomato Scraper
Zomato Scraper
RealdataAPI / Zomato Scraper
Scrape Zomato Scraper data efficiently.
Deliveroo Scraper
Deliveroo Scraper
RealdataAPI / Deliveroo Scraper
Scrape Deliveroo Scraper data efficiently.
Swiggy Scraper
Swiggy Scraper
RealdataAPI / Swiggy Scraper
Scrape Swiggy Scraper data efficiently.

You should have a Real Data API account to execute the program examples. Replace in the program using the token of your actor. 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: '',
});

// Prepare actor input
const input = {
    "categoryOrProductUrls": [
        {
            "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
        }
    ],
    "maxItems": 100,
    "proxyConfiguration": {
        "useRealDataAPIProxy": true
    }
};

(async () => {
    // Run the actor and wait for it to finish
    const run = await client.actor("junglee/amazon-crawler").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("")

# Prepare the actor input
run_input = {
    "categoryOrProductUrls": [{ "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5" }],
    "maxItems": 100,
    "proxyConfiguration": { "useRealDataAPIProxy": True },
}

# Run the actor and wait for it to finish
run = client.actor("junglee/amazon-crawler").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'
{
  "categoryOrProductUrls": [
    {
      "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
    }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useRealDataAPIProxy": true
  }
}
EOF

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

Additional Resources

saas-btn.webp

Documentation

Learn more about Real Data API actors
saas-btn.webp

API reference

Consists of program examples

Place the Amazon product URLs

productUrls Required Array

Put one or more URLs of products from Amazon you wish to extract.

Max reviews

Max reviews Optional Integer

Put the maximum count of reviews to scrape. If you want to scrape all reviews, keep them blank.

Link selector

linkSelector Optional String

A CSS selector saying which links on the page (< a> elements with href attribute) shall be followed and added to the request queue. To filter the links added to the queue, use the Pseudo-URLs and/or Glob patterns setting. If Link selector is empty, the page links are ignored. For details, see Link selector in README.

Mention personal data

includeGdprSensitive Optional Array

Personal information like name, ID, or profile pic that GDPR of European countries and other worldwide regulations protect. You must not extract personal information without legal reason.

Reviews sort

sort Optional String

Choose the criteria to scrape reviews. Here, use the default HELPFUL of Amazon.

Options:

RECENT,HELPFUL

Proxy configuration

proxyConfiguration Required Object

You can fix proxy groups from certain countries. Amazon displays products to deliver to your location based on your proxy. No need to worry if you find globally shipped products sufficient.

Extended output function

extendedOutputFunction Optional String

Enter the function that receives the JQuery handle as the argument and reflects the customized scraped data. You'll get this merged data as a default result.

{
  "categoryOrProductUrls": [
    {
      "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
    }
  ],
  "maxItems": 100,
  "detailedInformation": false,
  "useCaptchaSolver": false,
  "proxyConfiguration": {
    "useRealDataAPIProxy": true
  }
}

Where next?

Build-new-tools

Build new tools

Are you a developer? Build your own actors and run them on RealdataAPI.
Get-a-custom-solution

Get a custom solution

Get a custom web scraping or RPA solution.
Real Data API stands out as one of the premier global companies specializing in web data Scraping and web extraction.
Get in Touch
+1 424 3777584 sales@realdataapi.com 60 Paya Lebar Rd, #11-22 Paya Lebar Square, PMB 1010, Singapore 409051

Web Data

Live Crawler Scraping Browser API Anti Blocking Web Unlocker API Use Cases Web Scraping Enterprise Web Crawling Web Scraping API Services Mobile App Scraping Services

Store Location

Company

About Us FAQs Contact Us

By APIs

Ecommerce Scraping API Food Scraping API Q-Commerce Scraping API Grocery Scraping API Travel Scraping API Real Estate Scraping API Social Media Scraping API OTT Scraping API Liquor Scraping API Recruitment Scraping API Healthcare Scraping API Fashion Scraping API

Scraper

Amazon Product Scraper AliExpress Scraper Google Shopping Scraper Zomato Scraper Swiggy Scraper E-Commerce Scraper Blinkit Scraper Flipkart Scraper Twitter Scraper eBay Scraper Zepto Scraper Airbnb Scraper Booking Scraper Tiktok Scraper Reddit Scraper

Use Cases

Price Comparison Market Research Robotic Process Automation (RPA) Product Development Lead Generation Machine Learning

Datasets

E-Commerce Datasets Food Datasets Travel Datasets Real Estate Datasets Grocery Datasets Liquor Datasets Fashion Datasets

Knowledge Center

Blogs
Web Scraping Python Web Scraping PHP Web Scraping Java Web Scraping Ruby Web Scraping Rust Web Scraping in Go Web Scraping in Elixir Web Scraping with R Web Scraping with C# Web Scraping JS and Node.js
Case Studies
Research Report
Infographics
clutch
clutch
clutch
clutch
clutch
clutch

About Us

Contact us
© 2026 RealdataAPI. All rights reserved.

Disclaimer : RealData API functions solely as an independent data infrastructure and technology solutions provider. We build customized automation workflows designed to collect publicly accessible web data based exclusively on client instructions. RealData API neither owns proprietary datasets nor engages in the sale or redistribution of extracted information. Our operations are limited strictly to lawful public web data processing and never involve unauthorized access to restricted systems or private networks. Any company names, trademarks, logos, or brand references displayed on this website are used purely for demonstrative and illustrative purposes to showcase our technical capabilities and do not imply endorsement, partnership, or affiliation. Use of our platform and services remains subject to our Terms of Service.

INQUIRE NOW