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from $1.80 / 1,000 company scrapeds

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Fast Pappers / Sirene Scraper — French Companies API

Try for free

Scrape 26M+ French companies via official Sirene / Recherche Entreprises API. SIREN, SIRET, computed EU VAT, dirigeants, NAF codes, GPS coordinates on 256MB micro-container.

Pricing

from $1.80 / 1,000 company scrapeds

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Hector

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Monthly active users

2 days ago

Last modified

Pappers / Sirene Scraper: 26M French Companies API

⚡ 3x Moins Cher que le N°1 du Store : $0.0025 / company ($2.50/1K) — 3.2x cheaper (contre $0.008 / company ($8.00/1K) chez la concurrence). 🚀 Architecture Micro-Conteneur 256MB RAM : Moteur Zero-Browser ultra-rapide et sub-seconde sans surcharge de navigateur.

Scrape 26M+ French companies via official Sirene API: SIREN, SIRET, EU VAT, dirigeants, NAF codes. 3x cheaper ($0.0025/co vs $0.008). 256MB RAM.

🌟 Points Forts & Avantages Compétitifs

Tarification Imbattable (3x moins cher) : Seulement $2.50 pour 1 000 items, soit une économie immédiate de plus de 66% par rapport aux acteurs leaders du marché.
Vitesse Sub-Seconde : Requêtes natives directes HTTP/2, sans les latences ni les coûts de serveurs de navigateurs lourds (Playwright/Puppeteer).
Consommation Minimale : Fonctionne parfaitement avec 256 Mo de RAM, permettant d'exécuter des milliers de requêtes gratuites avec les crédits Apify offerts.
Prêt pour l'Automatisation : Compatible à 100% avec Make.com, Zapier, n8n, Google Sheets, Airbyte et webhooks temps réel.

💰 Modèle Tarifaire Pay-Per-Event (PPE)

Événement	Description	Prix Unitaire
Company scraped	Charged for each French company profile extracted with SIREN, SIRET and computed VAT	$0.0025

💻 Intégration Rapide

Node.js (Apify Client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('iNWRPXKLzG4b7FjYt').call({
  maxResults: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log('Données extraites :', items);

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('iNWRPXKLzG4b7FjYt').call(run_input={
    'maxResults': 50
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

🛡️ Support & Garantie de Service

Développé et maintenu par @RBBscrap — Leader des solutions de web scraping professionnelles, éco-conçues et ultra-économiques.

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