Rating 4.7
Rating 4.7
Rating 4.5
Rating 4.7
Rating 4.7
Disclaimer : Real Data API only extracts publicly available data while maintaining a strict policy against collecting any personal or identity-related information.
A Chope scraper is a powerful tool designed to extract real-time restaurant, menu, and reservation data from the Chope platform, now under Grab. Businesses, researchers, and data-driven companies use a Chope data scraping service to gather accurate insights into restaurant availability, pricing, customer reviews, and booking trends. This enables restaurants, food delivery services, and hospitality brands to optimize their strategies with fresh, actionable data. By leveraging advanced Real Data API solutions, you can access structured and up-to-date information from Chope without manual effort. Whether you need details about restaurant profiles, cuisines, locations, or customer preferences, the scraper automates the process to deliver a clean and ready-to-use Food Dataset. This data can be integrated into analytics dashboards, AI-driven recommendation systems, or competitive intelligence tools to improve decision-making. A reliable Chope scraper not only saves time but also ensures scalability for businesses tracking multiple restaurants across regions. From dynamic pricing analysis to market trend forecasting, the Chope data scraping service provides the foundation for smarter, data-backed operations. With high-quality Food Dataset access, businesses can enhance customer experiences and stay ahead in the fast-growing F&B sector.
A Chope scraper is a specialized tool that helps businesses with Chope data extraction from the platform. By using a Chope restaurant scraper or Chope menu scraper, companies can scrape Chope restaurant data including menus, reviews, availability, and promotions. This data is collected automatically through a Food Data Scraping API or custom Chope API integration, making it faster and more efficient than manual tracking. The scraper works by simulating user interactions, parsing HTML, and structuring the content into an accessible format. With reliable data pipelines, organizations can build competitive insights, track food trends, and use actionable data to improve decision-making in the restaurant and hospitality industry.
Businesses use a Chope scraper or Chope scraper Singapore to extract real-time insights into the F&B sector. By using a Chope restaurant scraper, companies can understand demand, track customer preferences, and optimize pricing. Restaurants can scrape Chope restaurant data to identify competitive strategies, while delivery platforms use a Chope menu scraper for seamless menu updates. A Food Data Scraping API ensures accurate data pipelines that feed analytics tools, dashboards, or recommendation engines. With structured datasets, organizations gain an edge by forecasting trends, improving supply chain planning, and boosting customer satisfaction. This makes Chope scraping invaluable for marketing intelligence, AI applications, and data-driven growth in the food and hospitality ecosystem.
The legality of using a Chope scraper or Chope data extraction depends on compliance with Chope’s terms of service and data protection laws. Businesses must ensure ethical usage when they scrape Chope restaurant data, focusing on public information and avoiding sensitive details. Using a Food Data Scraping API or Chope API integration is often the most compliant method since it provides structured access. A Chope menu scraper can be used for research, competitive benchmarking, or price comparison when done responsibly. Always consult legal guidance before deploying a Chope restaurant scraper. Responsible scraping ensures lawful access while maintaining fair use of data in Singapore and other regions.
To extract real-time Chope data, businesses typically use a Chope restaurant scraper or custom API integration. A Chope scraper Singapore can capture menus, reviews, ratings, and booking availability. Developers often rely on a Food Data Scraping API or a Chope menu scraper to automate the process at scale. By setting up scripts that scrape Chope restaurant data, you can collect thousands of entries quickly and structure them into a usable dataset. For enterprises, managed Chope data extraction services provide reliable pipelines without infrastructure headaches. Depending on the need—competitive analysis, trend prediction, or AI training—a tailored Chope scraper ensures accuracy and efficiency.
Beyond using a Chope scraper, companies can explore Chope API integration and other scraping solutions. Businesses may use a Food Data Scraping API, third-party data providers, or specialized Chope data extraction tools. For global coverage, alternatives like TripAdvisor, Zomato, or Deliveroo complement a Chope menu scraper. Each solution works like a Chope restaurant scraper, automating data gathering for insights. In markets like Asia, using a Chope scraper Singapore is highly effective, while other APIs expand coverage. By combining datasets, businesses gain better accuracy, stronger forecasting, and a competitive edge in the F&B industry through scalable restaurant intelligence.
When using a Chope scraper, businesses have multiple input options depending on their data needs. A Chope restaurant scraper can target specific locations, cuisines, or restaurant categories to scrape Chope restaurant data effectively. Developers may also use a Chope menu scraper for extracting menus, pricing, and availability. With Chope API integration, users can define parameters such as city, cuisine, rating, or reservation slots to collect precise results. Some prefer a Food Data Scraping API for structured feeds, while others rely on custom scripts for flexibility. These input options ensure tailored Chope data extraction, allowing businesses to extract real-time Chope data with accuracy. Flexible targeting guarantees high-quality datasets for competitive analysis, trend forecasting, and customer insights in the food industry.
{
"scraped_at": "2025-08-25T14:38:00Z",
"source": "Chope",
"market": "Singapore",
"query": {
"city": "Singapore",
"area": "Orchard",
"cuisine": ["Japanese", "Italian"],
"date": "2025-08-28",
"party_size": 2,
"page": 1,
"per_page": 2
},
"results": [
{
"restaurant_id": "chope_sg_001234",
"name": "Sora Izakaya",
"cuisines": ["Japanese", "Izakaya"],
"price_range": "$$",
"rating": 4.5,
"review_count": 812,
"tags": ["reservations", "family-friendly", "sake"],
"location": {
"address": "391 Orchard Rd, #04-12, Singapore 238872",
"area": "Orchard",
"city": "Singapore",
"country": "SG",
"latitude": 1.30391,
"longitude": 103.83203
},
"contact": {
"phone": "+65 6123 4567",
"website": "https://sora-izakaya.sg"
},
"chope_url": "https://www.chope.co/singapore-restaurants/restaurant/sora-izakaya",
"opening_hours": [
{
"day": "Mon-Thu",
"hours": "11:30-15:00, 17:30-22:00"
},
{
"day": "Fri",
"hours": "11:30-15:00, 17:30-23:00"
},
{
"day": "Sat",
"hours": "11:30-23:00"
},
{
"day": "Sun",
"hours": "11:30-22:00"
}
],
"amenities": ["WiFi", "Credit Cards", "Alcohol"],
"menu": [
{
"section": "Appetizers",
"items": [
{
"item_id": "mn_1001",
"name": "Edamame",
"description": "Steamed soybeans with sea salt",
"price": 6.9,
"currency": "SGD",
"dietary": ["vegan", "gluten-free"]
},
{
"item_id": "mn_1002",
"name": "Takoyaki",
"description": "Octopus balls, bonito flakes, mayo",
"price": 9.5,
"currency": "SGD"
}
]
},
{
"section": "Mains",
"items": [
{
"item_id": "mn_2001",
"name": "Chicken Karaage Don",
"description": "Crispy chicken, rice, onsen egg",
"price": 13.9,
"currency": "SGD",
"options": [
{
"name": "Add miso soup",
"price_delta": 2.0
},
{
"name": "Extra egg",
"price_delta": 1.5
}
]
},
{
"item_id": "mn_2002",
"name": "Salmon Sashimi Set",
"description": "12 pcs sashimi, rice, miso soup",
"price": 24.9,
"currency": "SGD"
}
]
}
],
"deals": [
{
"title": "Weekday Lunch Set",
"description": "Any don + drink",
"valid_days": ["Mon", "Tue", "Wed", "Thu", "Fri"],
"time": "11:30-15:00",
"price": 14.9,
"currency": "SGD"
}
],
"reservation": {
"date": "2025-08-28",
"party_size": 2,
"slots": [
{
"time": "17:30",
"available": true
},
{
"time": "18:00",
"available": true
},
{
"time": "18:30",
"available": false
},
{
"time": "19:00",
"available": true
},
{
"time": "19:30",
"available": true
},
{
"time": "20:00",
"available": false
}
],
"last_checked": "2025-08-25T14:36:12Z"
},
"last_updated": "2025-08-25T14:35:40Z"
},
{
"restaurant_id": "chope_sg_004567",
"name": "Trattoria Verde",
"cuisines": ["Italian", "Pizza"],
"price_range": "$$",
"rating": 4.2,
"review_count": 523,
"tags": ["reservations", "vegetarian-options", "outdoor"],
"location": {
"address": "333A River Valley Rd, Singapore 238365",
"area": "River Valley",
"city": "Singapore",
"country": "SG",
"latitude": 1.29482,
"longitude": 103.83855
},
"contact": {
"phone": "+65 6988 2211",
"website": "https://trattoriaverde.sg"
},
"chope_url": "https://www.chope.co/singapore-restaurants/restaurant/trattoria-verde",
"opening_hours": [
{
"day": "Mon-Thu",
"hours": "12:00-22:00"
},
{
"day": "Fri-Sat",
"hours": "12:00-23:00"
},
{
"day": "Sun",
"hours": "12:00-21:30"
}
],
"amenities": ["Outdoor Seating", "Credit Cards", "Wine"],
"menu": [
{
"section": "Antipasti",
"items": [
{
"item_id": "mn_3001",
"name": "Bruschetta",
"description": "Tomatoes, basil, olive oil",
"price": 10.0,
"currency": "SGD",
"dietary": ["vegetarian"]
}
]
},
{
"section": "Pizza",
"items": [
{
"item_id": "mn_3101",
"name": "Margherita",
"description": "Tomato, mozzarella, basil",
"price": 18.0,
"currency": "SGD"
},
{
"item_id": "mn_3102",
"name": "Diavola",
"description": "Spicy salami, tomato, mozzarella",
"price": 22.0,
"currency": "SGD"
}
]
}
],
"deals": [
{
"title": "2-for-1 Pizza Tue",
"description": "Second pizza free (equal/lesser value)",
"valid_days": ["Tue"],
"time": "18:00-21:00"
}
],
"reservation": {
"date": "2025-08-28",
"party_size": 2,
"slots": [
{
"time": "18:00",
"available": true
},
"time": "18:30",
"available": true
},
{
"time": "19:00",
"available": true
},
{
"time": "19:30",
"available": false
},
{
"time": "20:00",
"available": true
}
],
"last_checked": "2025-08-25T14:36:20Z"
},
"last_updated": "2025-08-25T14:35:58Z"
}
],
"pagination": {
"page": 1,
"per_page": 2,
"total_results": 245,
"total_pages": 123
}
}
A Chope data scraper can be easily connected to business workflows through multiple Chope data extraction integrations. Companies often combine it with CRM systems, BI tools, or cloud storage for seamless reporting. For example, integrating with platforms like Tableau or Power BI allows restaurants to visualize demand, customer reviews, and reservations. A Chope restaurant scraper can also sync with Google Sheets or data warehouses to keep records updated in real time. Using Chope API integration, developers can automate feeds directly into dashboards or machine learning models. These integrations ensure structured Food Data Scraping API outputs are readily available, helping businesses improve forecasting, menu optimization, customer targeting, and competitive intelligence.
Running a Chope scraper as a scraping actor involves automating the process through a Real Data API. Developers configure parameters such as location, cuisine, date, and party size to extract real-time Chope data at scale. The scraping actor simulates user behavior, navigates Chope’s booking system, and gathers structured content including menus, prices, ratings, and availability. By combining a Chope menu scraper with a Food Data Scraping API, businesses can automate updates without manual effort. The actor stores data in JSON, CSV, or databases, depending on chosen outputs. This approach enables accurate Chope data extraction, ensuring businesses receive continuous, reliable, and actionable datasets for analytics, marketing, and operational decision-making.
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'
productUrls
Required Array
Put one or more URLs of products from Amazon you wish to extract.
Max reviews
Optional Integer
Put the maximum count of reviews to scrape. If you want to scrape all reviews, keep them blank.
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.
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.
sort
Optional String
Choose the criteria to scrape reviews. Here, use the default HELPFUL of Amazon.
RECENT
,HELPFUL
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.
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
}
}