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Smiles Scraper - Extract Real-Time Smiles Data

RealdataAPI / smiles-scraper

Unlock the power of loyalty insights with Smiles Scraper from Real Data API! This advanced tool allows brands to track and analyze real-time Smiles data, offering actionable intelligence on user behavior, reward redemptions, and engagement patterns. By leveraging our Smiles data scraping service, businesses can monitor trends across various programs, optimize promotional strategies, and enhance customer retention. With access to a comprehensive Food Dataset, the scraper provides detailed insights into food purchases, preferences, and loyalty-driven interactions, enabling smarter business decisions. Whether for restaurants, food delivery platforms, or loyalty programs, Smiles Scraper ensures brands stay ahead by converting raw data into strategic action. Maximize engagement, optimize offers, and elevate your loyalty programs with Real Data API’s Smiles Scraper today!

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

A Smiles scraper UAE is a specialized tool that enables businesses to extract real-time Smiles data from the Smiles platform. It works by systematically collecting restaurant listings, menu items, pricing, and promotions to create a structured dataset. Using a combination of web scraping techniques and API integration, the scraper monitors updates in real-time, ensuring businesses have access to the latest restaurant and menu information. With this data, brands can analyze trends, optimize their offerings, and improve engagement with Smiles loyalty program users. Tools like Smiles API integration simplify the process, making it faster and more accurate while reducing manual effort and errors.

Why Extract Data from Smiles?

Extracting Smiles data helps businesses gain insights into customer preferences, popular dishes, and competitive offerings. With a Smiles restaurant scraper, restaurants and food delivery platforms can analyze which menu items are trending and how loyalty program users interact with them. Using Food Data Scraping API, businesses can track promotions, discounts, and seasonal campaigns in real-time to make informed decisions about pricing, menu updates, and marketing strategies. By understanding consumer behavior on Smiles, companies can optimize inventory, reduce waste, and enhance engagement. Extracting Smiles data ensures brands stay ahead of competitors and provide targeted offers that resonate with loyalty program members.

Is It Legal to Extract Smiles Data?

Data extraction from platforms like Smiles must comply with legal and ethical guidelines. Using a Smiles menu scraper, businesses should avoid violating Smiles’ terms of service and focus on publicly available data. By leveraging scrape Smiles restaurant data responsibly, companies can access aggregated and anonymized insights without infringing on privacy. Legal scraping involves structured data collection through APIs or web scraping services that respect rate limits and platform rules. Smiles data extraction for analysis, reporting, and optimization is generally considered acceptable when done transparently. Businesses should ensure that proprietary or confidential user information is not collected to remain compliant with regional and international data privacy laws.

How Can I Extract Data from Smiles?

To extract Smiles data efficiently, businesses can use a Smiles scraper UAE or dedicated Smiles restaurant scraper tools that automate data collection. By leveraging Food Data Scraping API, you can capture real-time updates on restaurant listings, menus, prices, and promotions. The process typically involves setting up scraping rules, monitoring updates, and structuring the extracted data for analytics. Using API integrations simplifies the workflow and ensures accuracy. Extracted data can then be used for competitive analysis, trend monitoring, and marketing optimization. Whether for loyalty program analysis, menu planning, or customer engagement, a structured Smiles data extraction approach provides actionable intelligence to improve business decisions.

Do You Want More Smiles Scraping Alternatives?

Yes! There are several alternatives to consider if you want to extract real-time Smiles data efficiently. Tools like Smiles data extraction platforms or custom Smiles menu scraper solutions can provide structured datasets for restaurants, menus, pricing, and promotions. These alternatives often offer features such as automated updates, API integration, and compatibility with analytics tools, making it easier to monitor trends and customer behavior. Using a Food Data Scraping API, businesses can aggregate data from multiple sources, compare offerings, and optimize loyalty program strategies. Exploring different Smiles scraping options ensures you select a solution that fits your technical capabilities, budget, and business objectives while staying compliant with platform rules and data privacy regulations.

Input options

When using a Smiles scraper UAE or Smiles restaurant scraper, selecting the right input options is crucial for accurate data extraction. You can input parameters such as restaurant names, menu categories, location filters, or specific food items to focus the scraping process. Using a Food Data Scraping API, inputs can also include price ranges, ratings, and promotional offers to generate more targeted datasets. Advanced tools allow scheduling inputs for recurring data updates, ensuring real-time Smiles data extraction. By customizing input options, businesses can collect only relevant information, reducing processing time and storage requirements. Properly configured inputs enable actionable insights for menu optimization, trend analysis, and competitive benchmarking across the Smiles platform.

Sample Result of Smiles Data Scraper

{
  "restaurant_id": "R12345",
  "restaurant_name": "Gourmet Bites",
  "location": "Dubai, UAE",
  "cuisine": "Italian",
  "rating": 4.5,
  "reviews_count": 256,
  "menu_items": [
    {
      "item_id": "M101",
      "item_name": "Margherita Pizza",
      "price": 45.00,
      "availability": true,
      "category": "Pizza"
    },
    {
      "item_id": "M102",
      "item_name": "Pasta Alfredo",
      "price": 55.00,
      "availability": true,
      "category": "Pasta"
    },
    {
      "item_id": "M103",
      "item_name": "Tiramisu",
      "price": 25.00,
      "availability": false,
      "category": "Dessert"
    }
  ],
  "last_updated": "2025-08-28T12:00:00Z"
}

Integrations with Smiles Data Scraper – Smiles Data Extraction

The Smiles Data Scraper enables seamless Smiles data extraction by integrating with analytics platforms, CRM systems, and business intelligence tools. This allows brands to convert real-time restaurant listings, menu items, pricing, and promotions into actionable insights for loyalty programs and marketing strategies. Integration ensures that the scraped data flows directly into dashboards for monitoring trends, identifying top-performing SKUs, and optimizing offers. Scheduled crawlers and API connections keep the dataset up to date, supporting predictive analytics and operational decision-making. By leveraging these integrations, businesses can improve inventory management, respond to consumer behavior changes faster, and enhance overall engagement on the Smiles platform, ensuring data-driven growth and better ROI.

Executing Smiles Data Scraping Actor with Real Data API

Using Real Data API, executing the Smiles Data Scraping Actor is straightforward and efficient. This process automates the extraction of restaurant listings, menu details, prices, availability, and reviews in real-time. By configuring the actor with specific parameters, businesses can target desired SKUs, locations, or cuisines to generate precise datasets. The integration with APIs ensures seamless data transfer to analytics dashboards or BI tools for immediate insights. Scheduled and live crawlers allow continuous updates, enabling brands to track promotions, loyalty trends, and menu popularity dynamically. Leveraging Smiles data extraction through this method provides actionable intelligence that supports inventory optimization, marketing campaigns, and strategic decision-making for improved customer engagement and revenue growth.

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
  }
}
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