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Europeancoffeetrip.com LEADS Scraper

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Europeancoffeetrip.com LEADS Scraper

Europeancoffeetrip.com LEADS Scraper

Scrapes European Coffee Trip cafes with comprehensive data: name, address, coordinates, photos, social links, opening hours, features, and premium status. Supports city and country-wide scraping.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

Muhamed Didovic

Muhamed Didovic

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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Overview

The European Coffee Trip Scraper is a specialized tool designed to extract comprehensive cafe listings from European Coffee Trip, the premier digital magazine for speciality coffee culture in Europe. This scraper delivers rich, structured data encompassing every critical aspect of coffee cafes to support informed coffee exploration and cafe discovery.

With this scraper, users gain access to detailed cafe information including cafe names, addresses, locations, and featured photos. The tool captures comprehensive location data with full details about cafe locations across European cities.

Cafe specifications are thoroughly extracted, including cafe descriptions, features, amenities, and premium status. Cafe type classifications (premium, regular) and geographic information provide additional context.

The scraper excels at capturing cafe details, including cafe names, addresses, links, and visual content for comprehensive cafe exploration.

Geographic details receive special attention with dedicated fields for latitude, longitude, and city associations, enabling precise mapping and location-based discovery.

Additional metadata and classification includes premium status, awards, and feature categories for comprehensive cafe market analysis.

Whether you're a coffee enthusiast exploring new cafes, a barista researching locations, or a business analyzing the speciality coffee scene, this scraper provides the complete, structured dataset needed for professional-grade coffee exploration and cafe discovery.


Features

  • Smart Page Detection:

    • Automatically detects country pages vs city pages
    • Handles both individual city scraping and country-wide cafe discovery
  • Comprehensive Cafe Data:

    • Extracts cafe names, addresses, locations, and coordinates
    • Captures premium status, awards, and special features
    • Includes photo galleries and detailed descriptions
  • Efficient Data Extraction:

    • Handles both map data and detailed cafe information
    • Automatically retries failed requests for seamless scraping
  • Geographic Intelligence:

    • Supports both city-specific and country-wide scraping
    • Extracts latitude/longitude coordinates for mapping
  • Dual Data Sources:

    • Primary: Live map data from current pages
    • Fallback: Detailed information from database

How to Use

  1. Set Up: Ensure you have an Apify account and access to the Apify platform.
  2. Provide Input Data: Input specific scraping parameters, such as start URLs for cities or countries.
  3. Adjust Scraper Settings: Configure settings like maxConcurrency, minConcurrency, and maxRequestRetries to optimize performance.
  4. Run the Scraper: Execute the scraper on the Apify platform.
  5. Download Results: Export the scraped cafe data in your preferred format (JSON, CSV, Excel).

Usage Limitations

Free Users: Non-paying users are limited to scraping 10 cafes per run and can only use 1 start URL. To access unlimited scraping and all features, please upgrade to a paid Apify account.

Paid Users: Enjoy unlimited cafe scraping, multiple start URLs, and full access to all scraper features.


Input Configuration

To use the scraper, configure the input parameters as follows:

{
"startUrls": [
{
"url": "https://europeancoffeetrip.com/amsterdam/"
},
{
"url": "https://europeancoffeetrip.com/austria/"
}
],
"maxItems": 100,
"maxConcurrency": 10,
"minConcurrency": 1,
"maxRequestRetries": 3,
"proxy": {
"useApifyProxy": true
}
}

Input Fields Explanation

  • Start URLs (startUrls): The URLs from which the scraper will begin extracting data. The scraper accepts both:
    • City URLs: Direct links to specific city pages (e.g., https://europeancoffeetrip.com/amsterdam/)
    • Country URLs: Links to country overview pages that contain multiple cities (e.g., https://europeancoffeetrip.com/austria/)
  • Max Items (maxItems): Maximum number of cafes to scrape per run. Default is 100.
  • Max Concurrency (maxConcurrency): Maximum number of pages processed simultaneously. Default is 10.
  • Min Concurrency (minConcurrency): Minimum number of pages processed simultaneously. Default is 1.
  • Max Request Retries (maxRequestRetries): Number of retries for failed requests. Default is 3.
  • Proxy Configuration (proxy): Settings for reliable and anonymous scraping. Default uses Apify's Proxy.

Output Structure

The scraper produces a structured JSON output containing detailed information for each job listing.

{
"premiumExpiresAt": null,
"address": "Brno, Orlí 491/16",
"cityId": 1,
"detail": {
"about": "",
"description": "",
"facebookLink": "https://www.facebook.com/kavarnakafec",
"gallery": [],
"instagramLink": "https://www.instagram.com/kafeckavarna/",
"shareLink": "https://europeancoffeetrip.com/cafe/kafec-brno/",
"twitterLink": "",
"webSiteLink": "https://www.kafec.cz/"
},
"featureIds": [
1,
2,
5,
6,
7,
8
],
"featuredPhoto": "https://europeancoffeetrip.com/wp-content/uploads/city-guides/cafes/10/kafecbrnoorli_1644244167_2768443186550292958_2111824031.jpeg",
"id": "10",
"latLng": [
"49.193252800",
"16.611361900"
],
"name": "Kafec Brno na Orlí",
"openingHours": {
"mo": [
480,
1200
],
"tu": [
480,
1200
],
"we": [
480,
1200
],
"th": [
480,
1200
],
"fr": [
480,
1200
],
"sa": [
480,
1140
],
"su": [
480,
1140
]
},
"servingIds": [
1,
2,
3,
4,
5,
8,
9,
10
]
}

Field Descriptions

General Information

  • id: Unique identifier for the cafe in European Coffee Trip's database.
  • name: The cafe's name (e.g., "Kafec Brno na Orlí").
  • address: Full address of the cafe including city and street details.
  • cityId: Numeric identifier for the city where the cafe is located.
  • featuredPhoto: URL to the cafe's main featured photo.

Location Information

  • latLng: Array containing latitude and longitude coordinates for precise mapping.
    • First element: latitude coordinate
    • Second element: longitude coordinate

Contact & Social Media

  • detail: Object containing additional cafe information.
    • webSiteLink: URL to the cafe's official website.
    • facebookLink: URL to the cafe's Facebook page.
    • instagramLink: URL to the cafe's Instagram profile.
    • twitterLink: URL to the cafe's Twitter profile (may be empty).
    • shareLink: Direct link to the cafe's page on European Coffee Trip.
    • about: Brief description about the cafe.
    • description: Detailed description of the cafe.
    • gallery: Array of additional photo URLs for the cafe.

Cafe Features & Services

  • featureIds: Array of numeric IDs representing cafe features and amenities.
  • servingIds: Array of numeric IDs representing types of coffee and food served.
  • premiumExpiresAt: Date when the cafe's premium listing expires (null if not premium).

Operating Hours

  • openingHours: Object containing weekly operating hours for each day.
    • mo: Monday hours (array of [opening_minute, closing_minute] from midnight)
    • tu: Tuesday hours
    • we: Wednesday hours
    • th: Thursday hours
    • fr: Friday hours
    • sa: Saturday hours
    • su: Sunday hours
    • Time format: minutes since midnight (e.g., 480 = 8:00 AM, 1200 = 8:00 PM)

Benefits of the European Coffee Trip Scraper

  • Automates cafe data collection, saving hours of manual research.
  • Provides detailed, accurate, and structured data for cafe discovery.
  • Smart detection of page types (city vs country) for optimal scraping.
  • Reliable performance with proxy integration for anonymity.

Why Choose the European Coffee Trip Scraper?

The European Coffee Trip Scraper is an indispensable tool for coffee enthusiasts, baristas, cafe owners, and speciality coffee researchers. It streamlines cafe discovery by delivering high-quality, actionable data directly from European Coffee Trip, enabling better exploration and saving time.


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