Actulegales Scraper

Extracts structured legal announcements (collective procedures) from the French website Actulegales.fr.

Overview

This Actor scrapes actulegales.fr to build a database of legal announcements. It systematically crawls all French departments (01-95), bypassing site pagination limits. It filters for collective procedures like Redressement Judiciaire and Liquidation Judiciaire, extracting key details such as company names, SIREN numbers, and publication dates. Data is output in structured formats (JSON, CSV) ready for analysis or integration.

Key Features

• Complete Coverage: Automatically iterates through all 95 French departments.
• Comprehensive Data: Extracts dateParution, nomEntreprise, siren, typeProcedure, urlFiche, departement, adresse, and journal.
• Efficient Scraping: Uses direct API calls to the /recherche/query endpoint where possible.
• Configurable Filters: Limit results by a specific date range (default: from June 1, 2025 to today).
• Reliable Execution: Includes automatic retries and handles common anti-bot protections.
• Managed Infrastructure: Runs on Apify's platform, offering scheduling, monitoring, API access, and scalable proxies.

How to Use

Run the Actor on the Apify platform. Configure it using the input settings below. Upon completion, download your dataset in JSON, CSV, Excel, or HTML format from the Actor's run console.

Input Configuration

Configure the scraper using the following input parameters (typically as a JSON object):

{
  "startDate": "2025-06-01",
  "endDate": "2025-12-31",
  "concurrency": 1
}

• startDate & endDate: Define the publication date range for announcements (format: YYYY-MM-DD).
• concurrency: Controls how many departments are processed simultaneously. Default is 1 to avoid rate limiting.

For residential proxy support (helpful to avoid 403 errors), enable and configure the "Use Apify Proxy" option within the Actor's input UI on the platform.

Input/Output

Input: A date range and concurrency setting, provided via the Apify console or API.

Output: A dataset where each item is a structured announcement record. Example item:

{
  "dateParution": "12 Décembre 2025",
  "nomEntreprise": "BEKKAKCHA SANDRINE",
  "siren": "521852673",
  "typeProcedure": "Liquidation Judiciaire",
  "urlFiche": "https://actulegales.fr/annonce-legale/1021703494",
  "departement": "01",
  "adresse": "01560 SAINT-JEAN-SUR-REYSSOUZE",
  "journal": "Voix de l'Ain (La)"
}

The data is accessible via the Apify dataset API during and after the run, and can be integrated with tools like Make.com, Zapier, or Google Sheets.