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GoFood Data Scraper

gofood-data-scraper
Food & Restaurant

GoFood Data Scraper enables businesses to collect restaurant and delivery insights from the GoFood platform. Automatically extract restaurant listings, menu details, food pricing, delivery timelines, ratings, and promotional data across Indonesia. This supports food delivery analytics and restaurant intelligence operations with scalable datasets.

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gofood-data-scraper

What is GoFood Data Extraction?

GoFood is Indonesia's leading food delivery service and a core offering within the Gojek super app ecosystem, serving millions of customers across Southeast Asia. With an extensive network of partner restaurants, street food vendors, cafes, and cloud kitchens, GoFood provides users with diverse culinary options, real time order tracking, and secure payment methods, making it one of the most widely used food delivery platforms in the region.

Our GoFood data scraper is an automated restaurant data extraction platform that collects structured food delivery information from GoFood.co.id. It helps businesses gather restaurant profiles, menu details, pricing trends, customer ratings, delivery coverage, and cuisine categories in real time. The scraper enables scalable food delivery intelligence and competitor analysis.

What Data Can You Extract from GoFood?

GoFood data scraper is designed to extract the following data:

restaurant_listings menu_pricing restaurant_location delivery_info reviews_ratings promotions_offers contact_data merchant_details cuisine_categories

Key Features of GoFood Data Scraper

GoFood data scraper developed by us is not just a tool; it is a proactive approach that is leveraged by hospitality professionals and food businesses to make informed decisions. It helps them develop robust strategies and improve overall business outcomes.

  • Real-Time Food Data Collection
  • Automated Restaurant & Food Listings Extraction
  • Structured Data Output for Easy Use
  • Location-Based Food Delivery Data Extraction
  • Scalable Crawling for Large Food Platforms
  • Custom Data Field Selection Based on Requirement
  • Multi-Platform Data Support Across Food Apps

How Does GoFood Data Scraper Work?

Our GoFood data scraper is designed for simplicity and automation. With just a few inputs, you can extract large-scale data efficiently:

Step

Initiate Advance Search

Provide restaurant names, dish keywords, or target URLs to scrape food data from GoFood. The crawler will extract details like restaurant id, name, address, city, state, postal code, country code, aggregate ratings, cost, cuisines, email id, menu and opening hours.

Step

Download Structured Data

Export scraped GoFood restaurant and food delivery data in structured formats like CSV, Excel, or JSON for analysis and reporting.

Step

Schedule Automated Crawlers

Schedule the GoFood Scraper to run hourly for real-time menu/pricing updates, daily for review trends, or weekly for competitor benchmarking.

Benefits of Using the GoFood Data Scraper

Our GoFood data scraper is useful to:

  • Get real-time food & dining trend awareness
  • Seamlessly improve menu quality and offerings
  • Perform customer review and feedback analysis
  • Expand restaurant visibility & reach
  • Track reservation and occupancy levels

Use Cases of GoFood Data Scraper

GoFood restaurant data scraper helps data teams to automate large-scale restaurant and dining data collection for applications, analytics, and market intelligence.

  • Forecast Restaurant Trends: Evaluate local dining trends, including cuisine trends, and customer preferences.
  • Food Delivery Platform Expansion: Identify restaurants to onboard for delivery or aggregation platforms.
  • Competitive Pricing Analysis: Compare menu pricing and offers across different restaurants.
  • Location Intelligence & Expansion: Discover areas with high demand to open any restaurant or branch.
  • Lead Generation for B2B Sales: Build customized restaurant contact lists for long-term business success.
  • AI & Data Analytics Projects: Feed structured restaurant data into machine learning and analytics systems.

We ensure that you receive actionable insights within defined time frames so that you can use them for your business.

Looking for a Custom GoFood Data Scraping Solution?

Get in Touch

Get a Free Sample of GoFood Scraped Data

The extracted GoFood data can be easily downloaded or integrated into your systems. Supported formats include CSV, Excel, XML, MySQL, MS Access, and other database formats, making it convenient for analysis and reporting.

.CSV
JSON
Download Sample Data
#
Name
Type
Rating
Review Count
Address
Contact Info
Delivery Time
Delivery Cost
Opening Hrs.
1
NDUO Sushi Tanjung Duren
Sushi, Japanese, Fast Food
4.7
1,540+
Tanjung Duren, West Jakarta, Indonesia
+62 21 5568 2190
25–35 min
Rp 4.500
Mon–Sun 10:00–22:00
2
Sushi GO MKG
Japanese, Sushi, Asian
4.9
5,928
Mall Kelapa Gading, North Jakarta, Indonesia
+62 21 45864965
30–40 min
Rp 8.000
Mon–Sun 10:00–22:00
3
Goku Burger Jakarta
Burger, Japanese Fusion, Fast Food
4.7
210+
Central Jakarta, Indonesia
+62 812 9988 4411
20–30 min
Rp 6.000
Mon–Sun 11:00–21:00
 
[
    {
        "#": "1",
        "Name": "NDUO Sushi Tanjung Duren",
        "Type": "Sushi, Japanese, Fast Food",
        "Rating": "4.7",
        "Review Count": "1,540+",
        "Address": "Tanjung Duren, West Jakarta, Indonesia",
        "Contact Info": "+62 21 5568 2190",
        "Delivery Time": "25–35 min",
        "Delivery Cost": "Rp 4.500",
        "Opening Hrs.": "Mon–Sun 10:00–22:00"
    },
    {
        "#": "2",
        "Name": "Sushi GO MKG",
        "Type": "Japanese, Sushi, Asian",
        "Rating": "4.9",
        "Review Count": "5,928",
        "Address": "Mall Kelapa Gading, North Jakarta, Indonesia",
        "Contact Info": "+62 21 45864965",
        "Delivery Time": "30–40 min",
        "Delivery Cost": "Rp 8.000",
        "Opening Hrs.": "Mon–Sun 10:00–22:00"
    },
    {
        "#": "3",
        "Name": "Goku Burger Jakarta",
        "Type": "Burger, Japanese Fusion, Fast Food",
        "Rating": "4.7",
        "Review Count": "210+",
        "Address": "Central Jakarta, Indonesia",
        "Contact Info": "+62 812 9988 4411",
        "Delivery Time": "20–30 min",
        "Delivery Cost": "Rp 6.000",
        "Opening Hrs.": "Mon–Sun 11:00–21:00"
    }
]
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