logo

MyEatPal Scraper - Extract Real-Time MyEatPal Data

RealdataAPI / myeatpal-scraper

Unlock real-time insights with MyEatPal scraper from Real Data API, designed to provide accurate MyEatPal data scraping service for restaurants, FMCG brands, and delivery platforms. This tool allows businesses to track menu items, pricing, stock availability, and promotions across multiple outlets efficiently, ensuring data accuracy and timely insights. By extracting a structured Food Dataset, companies can analyze trends, forecast demand, and optimize pricing and inventory strategies effectively. The MyEatPal scraper integrates seamlessly with dashboards and analytics platforms, enabling automated monitoring and reducing manual effort. With Real Data API’s solutions, brands can access real-time restaurant data, gain competitor insights, enhance operational efficiency, and make data-driven decisions to stay competitive in the dynamic online food delivery and retail market.

What is MyEatPal Data Scraper, and How Does It Work?

The MyEatPal scraper UAE is a powerful tool for businesses to scrape MyEatPal restaurant data efficiently. It automates the collection of menu items, pricing, stock availability, and promotions from MyEatPal listings. The scraper works by navigating the platform’s structure, extracting structured data, and converting it into actionable insights. With this process, restaurants, FMCG brands, and delivery services can monitor competitors, track new menu additions, and optimize pricing strategies. Using automation reduces errors and saves significant manual effort. Combined with a MyEatPal menu scraper, the data can be integrated into dashboards or analytics platforms, enabling real-time insights for decision-making and operational efficiency across multiple outlets.

Why Extract Data from MyEatPal?

Extracting data with a MyEatPal data extraction tool provides businesses with actionable market insights. Using a MyEatPal restaurant scraper, companies can monitor competitors, track trending menu items, and analyze pricing and promotions in real time. Access to structured datasets allows brands to forecast demand, optimize inventory, and improve marketing strategies. Restaurants and FMCG companies benefit from identifying popular items, seasonal trends, and dynamic pricing fluctuations. Leveraging a Food Data Scraping API ensures automated, continuous data collection for large-scale operations, reducing manual work and improving data accuracy. Real-time insights enable rapid responses to competitor moves, ensuring businesses maintain a competitive advantage in the dynamic online food delivery market.

Is It Legal to Extract MyEatPal Data?

Using a MyEatPal API integration and ethical MyEatPal scraper UAE tools allows businesses to extract data legally while respecting platform terms. Responsible scraping avoids server overload, privacy violations, or redistribution of sensitive information. Ethical use includes following API guidelines, rate limiting requests, and anonymizing queries. Data collection for research, analytics, and market intelligence is generally permissible when done responsibly. Businesses using MyEatPal data extraction tools can safely monitor menu updates, pricing trends, and promotions without violating rules. Combining these practices with a MyEatPal restaurant scraper ensures access to actionable insights, enabling real-time analysis of menus and pricing while staying compliant with legal and platform-specific requirements.

How Can I Extract Data from MyEatPal?

Data can be extracted using MyEatPal menu scraper or a MyEatPal data scraping service, which automate collection of restaurant menus, pricing, and availability. Businesses can target specific outlets, categories, or items, ensuring structured data output compatible with dashboards and analytics tools. Scheduled scraping and API integration support real-time monitoring, capturing updates as soon as new items or promotions appear. The Food Data Scraping API allows seamless ingestion of structured data for large-scale operations. Using MyEatPal restaurant scraper tools, companies can efficiently track trends, benchmark competitors, and optimize inventory or pricing strategies. Automation reduces manual effort, improves accuracy, and provides actionable insights to support strategic business decisions in the online food delivery market.

Do You Want More MyEatPal Scraping Alternatives?

For advanced data collection, businesses can explore MyEatPal scraper UAE and MyEatPal API integration alternatives. These tools provide robust capabilities for scrape MyEatPal restaurant data, monitoring menus, pricing, stock, and promotions in real time. Other solutions include third-party Food Data Scraping API providers or automated MyEatPal menu scraper platforms, offering structured data outputs compatible with internal analytics systems. Choosing multiple tools ensures coverage across outlets, categories, and regions efficiently. Leveraging these alternatives enables continuous monitoring, competitor benchmarking, and trend analysis. Combining automation and structured MyEatPal data extraction delivers comprehensive insights for FMCG brands, restaurants, and delivery platforms, helping maintain a competitive edge in the fast-paced online food market.

Input options

Input Options define how data is fed into scraping tools or analytics platforms to enable efficient collection and processing. In platforms like MyEatPal scraper UAE or Real Data API, input options can include URLs, API endpoints, CSV/Excel uploads, or manual entry. Selecting the right input ensures accurate MyEatPal data extraction and seamless monitoring of restaurant menus, pricing, and stock availability. Advanced options support scheduling, automated crawling, and multi-source aggregation for comprehensive Food Data Scraping API datasets. Flexible input configurations allow filtering, prioritization, and targeting of specific SKUs or menu categories, enabling FMCG brands, restaurants, and delivery platforms to gain actionable insights quickly. Proper input selection enhances data reliability, reduces manual effort, and empowers businesses to maintain competitive intelligence.

Sample Result of MyEatPal Data Scraper

{
  "restaurant_id": "MEP1001",
  "restaurant_name": "Gourmet Express",
  "location": "Dubai, UAE",
  "menu": [
    {
      "item_id": "IT5001",
      "item_name": "Grilled Chicken Sandwich",
      "category": "Main Course",
      "price_aed": 30,
      "availability": true,
      "discount": "5%",
      "ratings": 4.6
    },
    {
      "item_id": "IT5002",
      "item_name": "Vegan Burger",
      "category": "Main Course",
      "price_aed": 28,
      "availability": true,
      "discount": null,
      "ratings": 4.3
    },
    {
      "item_id": "IT5003",
      "item_name": "Caesar Salad",
      "category": "Salads",
      "price_aed": 20,
      "availability": false,
      "discount": "10%",
      "ratings": 4.5
    }
  ],
  "last_updated": "2025-08-29T09:30:00Z"
}

Integrations with MyEatPal Data Scraper – MyEatPal Data Extraction

Integrating with MyEatPal scraper enables businesses to automate MyEatPal data extraction, collecting real-time restaurant menus, product availability, pricing, and promotions efficiently. By connecting scraping tools with analytics platforms, companies can access structured Food Dataset information from multiple outlets without manual intervention. This integration allows FMCG brands, delivery platforms, and restaurants to track trends, monitor stock levels, and analyze competitor menus systematically. Using automated workflows, businesses can schedule scraping jobs, filter critical menu items, and aggregate large datasets for actionable insights. Leveraging Food Data Scraping API, the extracted data can be directly integrated into dashboards or reporting tools for real-time visibility. These integrations not only reduce operational effort but also enhance the accuracy and reliability of data, enabling strategic decisions in pricing, inventory management, and promotional planning across the dynamic online food delivery market.

Executing MyEatPal Data Scraping Actor with Real Data API

Executing the MyEatPal Data Scraping Actor through Real Data API allows businesses to extract a structured Food Dataset efficiently. With automated scraping, companies can monitor restaurant menus, pricing updates, and stock availability in real time. The MyEatPal scraper ensures that thousands of items across multiple outlets are captured accurately, reducing manual effort and minimizing errors. By integrating with Food Data Scraping API, extracted data can be delivered directly into analytics dashboards, enabling quick insights into trending items, seasonal demand, and competitor promotions. Scheduled scraping and automated data pipelines ensure continuous updates, allowing FMCG brands and delivery services to benchmark competitors, optimize menu pricing, and track product availability effectively. Leveraging this actor supports scalable data operations, actionable insights, and informed decision-making, providing a competitive edge in the rapidly evolving online food marketplace.

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'

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
  }
}
INQUIRE NOW