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Europa Discovery Scraper

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Europa Discovery Scraper

Europa Discovery Scraper

The Europa Discovery Scraper extracts detailed datasets from Eurostat, providing insights for research and decision-making. It offers customizable searches, proxy support, and exports in JSON, CSV, or Excel....

Pricing

from $9.00 / 1,000 results

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GetDataForMe

GetDataForMe

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The Europa Discovery Scraper is a powerful tool designed to extract detailed datasets from the European Union's Eurostat database. This actor enables users to efficiently gather and analyze data related to various socio-economic indicators, providing valuable insights for research, analysis, and decision-making.

Features

  • Comprehensive Data Extraction: Scrapes detailed datasets from Eurostat based on user-defined search queries.
  • High Data Quality: Ensures accurate and up-to-date information by accessing official EU data sources.
  • Customizable Search: Allows users to specify search keywords and limit the number of items to scrape.
  • Proxy Support: Utilizes Apify's residential proxies to maintain anonymity and avoid IP blocking.
  • Efficient Performance: Optimized for fast data retrieval and processing.
  • User-Friendly Interface: Simple setup and configuration for seamless data extraction.
  • Flexible Output Formats: Export results in JSON, CSV, or Excel formats for easy integration into workflows.

Input Parameters

ParameterTypeRequiredDescriptionExample
searchQueryStringYesEnter the search keywords to filter datasets."loss"
maxItemsIntegerNoMaximum number of items to scrape.100
proxyConfigurationObjectNoSpecifies proxy servers to use for scraping to hide origin.{ "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" }

Example Usage

Example Input

{
"searchQuery": "loss",
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "US"
}
}

Example Output

[
{
"title": "Loss of citizenship by sex and new citizenship",
"url": "https://ec.europa.eu/eurostat/databrowser/product/view/migr_lct?lang=en",
"category": "Datasets [Detailed datasets]",
"code": "migr_lct",
"updated": "22 April 2026",
"description": null,
"action_links": [
{
"label": "Access dataset",
"url": "https://ec.europa.eu/eurostat/databrowser/product/view/migr_lct?lang=en"
},
{
"label": "Show in data tree",
"url": "https://ec.europa.eu/eurostat/data/database?node_code=migr_lct"
},
{
"label": "Access metadata",
"url": "https://ec.europa.eu/eurostat/cache/metadata/en/migr_acqn_esms.htm"
}
],
"dimensions": [
"Time frequency: Annual",
"Unit of measure: Number"
],
"search_query": "loss",
"page": 1,
"source": "eurostat",
"scraped_at": "2026-05-29T09:40:23.784Z"
}
]

Use Cases

  • Market Research and Analysis: Gather data for market trends and consumer behavior analysis.
  • Competitive Intelligence: Monitor industry data to stay ahead of competitors.
  • Price Monitoring: Track economic indicators that influence pricing strategies.
  • Content Aggregation: Compile datasets for content creation and reporting.
  • Academic Research: Access reliable data for scholarly articles and research papers.
  • Business Automation: Automate data collection for business intelligence systems.

Installation and Usage

  1. Search for "Europa Discovery Scraper" in the Apify Store.
  2. Click "Try for free" or "Run".
  3. Configure input parameters.
  4. Click "Start" to begin extraction.
  5. Monitor progress in the log.
  6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array where each object contains:

  • title: The dataset title.
  • url: Direct link to the dataset.
  • category: Dataset category.
  • code: Unique dataset code.
  • updated: Last updated date.
  • action_links: Array of links for dataset access and metadata.
  • dimensions: Dataset dimensions like time frequency and unit of measure.
  • search_query: The search term used.
  • page: Page number of the result.
  • source: Data source.
  • scraped_at: Timestamp of when the data was scraped.

Support

For custom/simplified outputs or bug reports, please contact:

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