Finstat Scraper

Scrapes company financial data from Finstat.sk for a given list of Slovak company IDs (IČOs). It extracts key financial and business details for lead generation, market analysis, and data enrichment.

Key Features

• Targeted Data Extraction: Fetches data specifically from the Slovak financial register Finstat.sk.
• Comprehensive Financials: Retrieves annual revenue figures for recent years (e.g., 2019-2024).
• Company Details: Gathers VAT number (IČ DPH), registered address, establishment date, and SK NACE classification codes.
• Employment Insights: Captures employee count information in both text and numeric form.
• Structured Output: Returns a clean, structured JSON dataset with one item per processed company.

How to Use

Provide the actor with a list of valid Slovak IČO numbers. It will visit the corresponding Finstat profile for each one, scrape the available data, and return the results.

Input

The actor requires a single input field:
* icos (array, required): A list of Slovak company identification numbers (IČOs) to process.
json { "icos": ["12345678", "87654321"] }

Output

The actor outputs one JSON object per successfully processed IČO. Typical fields include:
* Financial Data: revenue_2019, revenue_2020, revenue_2021, revenue_2022, revenue_2023, revenue_2024
* Company Identifiers: ic_dph (VAT ID), sidlo (registered address), sk_nace (industry classification)
* Employment Data: employees_text, min_employees
* General Info: established_date

Example Use Cases

• Building financial profiles of Slovak companies for analysis.
• Enriching B2B lead lists with revenue and company size data.
• Segmenting markets based on financial performance or industry (NACE code).

Limitations

• Geographic Restriction: Only works with valid Slovak IČO numbers.
• Data Availability: Not all companies publish revenue data for every year.
• Scale: For optimal performance, it's recommended to process a few hundred IČOs per run.