Eatigo.com Restaurant Scraper: Extract Search Listings & Discount Data

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What Is Eatigo.com?

Eatigo is a leading restaurant reservation platform across Southeast Asia, known for its time-based discount model — diners book specific slots to receive discounts of up to 50% or more. The platform hosts thousands of restaurants across cities in Thailand, Singapore, Malaysia, India, and beyond.

Collecting restaurant data manually from Eatigo's search results is impractical at scale. The Eatigo.com Restaurants Search Scraper automates this, turning paginated search listings into clean, structured records ready for analysis or integration.

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Overview

This scraper targets Eatigo's search result pages and extracts structured restaurant data per listing. It is suited for:

• Food-tech platforms building restaurant databases or aggregators
• Market researchers analyzing dining trends and discount behavior by region
• Business analysts benchmarking restaurant popularity, pricing, and availability
• Developers feeding restaurant data into recommendation or booking engines

Key features include configurable item limits, resilient URL failure handling, and support for Eatigo's filter-based search URLs.

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Input Format

{
  "ignore_url_failures": true,
  "max_items_per_url": 200,
  "urls": [
    "https://eatigo.com/en/regions/22/search?filter={%22sortby%22:%22popular%22}"
  ]
}

Field	Type	Description
urls	array	URLs of Eatigo restaurant search/listing pages to scrape. Supports filter parameters (e.g., sort by popular, cuisine, area). Add one per line or use bulk edit.
max_items_per_url	integer	Maximum number of restaurant records to collect per URL. Default: 20. Set higher (e.g., 200) for full-region coverage.
ignore_url_failures	boolean	If true, the scraper continues running when a URL fails instead of stopping the entire run. Recommended for bulk jobs. Default: true.

Tip: You can customize the filter parameter in the URL to sort by popular, distance, discount, or filter by cuisine/area. Each unique filter combination can be added as a separate URL.

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Output Format

Sample output

{
  "bid": 3370673815985,
  "name": "Three on Canton @ Gateway Hotel",
  "cover_image": "/imgs/branch/cover/Screenshot 2026-04-08 at 11.34.13 AM_68cd7b.jpg",
  "category_id": 0,
  "ratings": "4.3",
  "lat": 22.297756,
  "lng": 114.168542,
  "area": "香港",
  "distance": "",
  "reservations": "14.9k",
  "avg_price_range": 3,
  "is_hot": true,
  "is_new": false,
  "is_favorite": false,
  "has_more_discount": true,
  "max_discount_tiers_ratio": 50,
  "slots": [
    {
      "discount": 50,
      "slot": "2026-05-30 07:00"
    },
    {
      "discount": 50,
      "slot": "2026-05-30 07:30"
    },
    {
      "discount": 30,
      "slot": "2026-05-30 18:30"
    },
    {
      "discount": 30,
      "slot": "2026-05-30 19:00"
    },
    {
      "discount": 30,
      "slot": "2026-05-30 19:30"
    },
    {
      "discount": 50,
      "slot": "2026-05-31 07:00"
    },
    {
      "discount": 50,
      "slot": "2026-05-31 07:30"
    },
    {
      "discount": 50,
      "slot": "2026-05-31 12:00"
    },
    {
      "discount": 30,
      "slot": "2026-05-31 12:30"
    },
    {
      "discount": 30,
      "slot": "2026-05-31 13:00"
    },
    {
      "discount": 30,
      "slot": "2026-05-31 13:30"
    },
    {
      "discount": 50,
      "slot": "2026-05-31 15:30"
    },
    {
      "discount": 50,
      "slot": "2026-05-31 18:30"
    },
    {
      "discount": 30,
      "slot": "2026-05-31 19:00"
    },
    {
      "discount": 30,
      "slot": "2026-05-31 19:30"
    },
    {
      "discount": 50,
      "slot": "2026-06-01 07:00"
    },
    {
      "discount": 50,
      "slot": "2026-06-01 07:30"
    },
    {
      "discount": 50,
      "slot": "2026-06-01 12:00"
    },
    {
      "discount": 30,
      "slot": "2026-06-01 12:30"
    },
    {
      "discount": 30,
      "slot": "2026-06-01 13:00"
    }
  ],
  "tags": [
    {
      "id": 12470,
      "name": "Buffet"
    },
    {
      "id": 17829,
      "name": "Group"
    },
    {
      "id": 17898,
      "name": "Private Room"
    },
    {
      "id": 17831,
      "name": "Kids Friendly"
    },
    {
      "id": 17836,
      "name": "Fine Dining"
    },
    {
      "id": 17838,
      "name": "Family Gathering"
    },
    {
      "id": 17839,
      "name": "Friends Gathering"
    },
    {
      "id": 17840,
      "name": "Business Lunch"
    },
    {
      "id": 17841,
      "name": "Business Dinner"
    },
    {
      "id": 17842,
      "name": "Business"
    },
    {
      "id": 17843,
      "name": "Team Meal"
    },
    {
      "id": 17845,
      "name": "Special Occasion"
    },
    {
      "id": 17847,
      "name": "Birthday Celebration"
    },
    {
      "id": 17861,
      "name": "All-You-Can-Eat"
    },
    {
      "id": 17864,
      "name": "A La Carte"
    },
    {
      "id": 17863,
      "name": "Set Menu"
    },
    {
      "id": 17851,
      "name": "Vegetarian"
    },
    {
      "id": 17857,
      "name": "Gluten-Free"
    },
    {
      "id": 17848,
      "name": "Indulgent"
    },
    {
      "id": 17849,
      "name": "Hearty"
    },
    {
      "id": 17856,
      "name": "Seafood Lover"
    },
    {
      "id": 17853,
      "name": "Kids Meal"
    },
    {
      "id": 17865,
      "name": "Mixology"
    },
    {
      "id": 17871,
      "name": "Cocktail"
    },
    {
      "id": 17884,
      "name": "Award-Winning"
    },
    {
      "id": 17887,
      "name": "Visually Appealing"
    },
    {
      "id": 17889,
      "name": "Breakfast"
    },
    {
      "id": 17890,
      "name": "Brunch"
    },
    {
      "id": 17891,
      "name": "Lunch"
    },
    {
      "id": 17892,
      "name": "Afternoon Tea"
    },
    {
      "id": 17893,
      "name": "Dinner"
    }
  ],
  "cuisine_tags": [
    {
      "id": 12470,
      "name": "Buffet"
    }
  ],
  "from_url": "https://eatigo.com/en/regions/22/search?filter={%22sortby%22:%22popular%22}"
}

Each scraped restaurant returns the following fields:

Identification & Display

Field	Meaning
BID	Unique Eatigo business identifier for the restaurant
Name	Restaurant name as shown on the listing
Cover Image	URL of the restaurant's cover photo used in search results

Location

Field	Meaning
Latitude	Geographic latitude coordinate of the restaurant
Longitude	Geographic longitude coordinate of the restaurant
Area	Named district or neighborhood (e.g., "Sukhumvit", "Silom")
Distance	Distance from the search reference point, typically in kilometers

Ratings & Popularity

Field	Meaning
Ratings	Aggregate customer rating score for the restaurant
Is Hot	Boolean flag indicating trending or high-demand status
Is New	Boolean flag for recently onboarded restaurants
Is Favorite	Whether the authenticated user has favorited this listing

Pricing & Discounts

Field	Meaning
Average Price Range	Estimated average spend per person (currency varies by region)
Has More Discount	Whether additional discount tiers are available beyond the default
Max Discount Tiers Ratio	The highest discount ratio available (e.g., 0.5 = 50% off)

Availability

Field	Meaning
Reservations	Number of reservations or booking activity indicator
Slots	Available booking time slots with associated discount levels

Classification

Field	Meaning
Category ID	Internal Eatigo category identifier for the restaurant type
Tags	General descriptive tags (e.g., "family-friendly", "rooftop")
Cuisine Tags	Cuisine type labels (e.g., "Japanese", "Thai", "Italian")

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How to Use

1. Find a search URL — Go to Eatigo.com, select a region, apply filters (sort, cuisine, area), and copy the resulting URL from the browser.
2. Paste into urls — Add one or more search URLs to the input array.
3. Set item limit — Adjust max_items_per_url based on how many results you need. Eatigo typically shows up to a few hundred restaurants per region search.
4. Run the scraper — Start the actor and monitor progress in the run log.
5. Export — Download results as JSON, CSV, or Excel.

Common issues:

• Ensure URLs include the full filter query parameter (URL-encoded). Incomplete URLs may return empty results.
• If results seem capped, try splitting searches by area or cuisine filter and combining outputs.

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Use Cases & Business Value

• Restaurant aggregators: Build or enrich a database of Eatigo-listed venues with ratings, cuisine, and location
• Discount analysis: Track which restaurants offer the highest discount tiers and when slots are available
• Regional market research: Compare restaurant density, category distribution, and pricing across Eatigo regions
• Competitive intelligence: Monitor new restaurant onboardings (Is New) and trending venues (Is Hot)

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Conclusion

The Eatigo.com Restaurants Search Scraper delivers structured, multi-field restaurant data from one of Southeast Asia's most active dining platforms. Whether you're building a food-tech product or conducting market research, this scraper removes the manual effort and gives you actionable data in minutes.