# Enriched French Business Leads — PagesJaunes + SIRENE + Google (`rragen/pagesjaunes-scraper`) Actor Scrape PagesJaunes.fr and enrich each business with its legal identity (SIREN registry) and Google reviews. Sales-ready B2B leads for France. - **URL**: https://apify.com/rragen/pagesjaunes-scraper.md - **Developed by:** [Rragen](https://apify.com/rragen) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 75.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 listings This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Enriched French Business Leads (PagesJaunes + SIRENE + Google) Turn a simple search into **sales-ready B2B leads for the French market**. Search PagesJaunes.fr by activity and location, and get each business enriched with its **legal identity** (French company registry) and its **real online reputation** (Google Maps) — in one dataset. Three data layers, one row: - 📇 **Contact (PagesJaunes)** — name, category, address, phone, website. - 🏛️ **Legal identity (SIRENE)** — SIREN, registered legal name, activity code, legal form, headcount. - ⭐ **Reputation (Google Maps)** — rating and review count, typically **far richer than PagesJaunes** (real example: 2473 Google reviews vs 13 on PagesJaunes for the same restaurant). No CAPTCHA solving, no config — runs on a real browser and handles Cloudflare out of the box. ### Why enriched? A raw directory scrape is a commodity. The value is the **join**: a phone number becomes a qualified lead when you also know the legal entity behind the trade name and how well-reviewed it actually is. SIRENE tells you *who you're really dealing with*; Google tells you *how they're doing*. ### Input | Field | Required | Default | Description | |-------|----------|---------|-------------| | `quoiqui` | ✅ | — | What/who: activity or brand (`restaurant`, `plombier`, …) | | `ou` | ✅ | — | Where: city or department (`Rennes`, `35`) | | `pages` | | `1` | Result pages to crawl (~20 listings each) | | `enrichSirene` | | `true` | Add legal identity from the French company registry (free public data) | | `enrichGoogle` | | `false` | Add Google Maps rating + review count | | `phones` | | `true` | Resolve phone numbers | | `sites` | | `false` | Also collect websites (slower) | | `useProxy` | | `true` | Route through Apify French residential proxies | ### Output (one row per business) ```json { "name": "Crêperie La Gavotte", "category": "restaurants", "address": "41 rue St Georges 35000 Rennes", "phone": "02 99 38 44 12", "pjUrl": "https://www.pagesjaunes.fr/pros/03162506", "sirene": { "siren": "801870254", "denomination": "5 YEARS (LA GAVOTTE)", "naf": "56.10A", "nature_juridique": "5499", "effectif": "NN", "actif": true, "via": "geo" }, "google": { "rating": 4.6, "reviews": 2473, "confident": true } } ```` `sirene` / `google` are `null` when no confident match is found — matches are **address-verified**, so you don't get a random company from the same building. ### Pricing (pay-per-event) You only pay for what you actually get: | Event | When it's charged | |-------|-------------------| | `listing` | per business returned | | `sirene` | only when a legal identity is **matched** | | `google` | only when Google reputation is **matched** | Unmatched enrichments are free. Turn `enrichSirene` / `enrichGoogle` off to keep it to the base listing. ### Notes - Phone numbers are resolved via the site's AJAX endpoint (fast, reliable, no click). - SIRENE matching is address-verified (name search + geographic fallback), active establishments preferred. - Google enrichment runs the Compass Google Maps actor under the hood. ### Fair use Scrape responsibly: respect the sources' terms, keep volumes reasonable, and handle personal data (phone numbers) in line with GDPR. # Actor input Schema ## `quoiqui` (type: `string`): Activity or business name — any PagesJaunes term works (e.g. "notaire", "garden center", or a brand like "McDonald's"). These categories additionally get enhanced SIRENE geo-matching (higher legal-identity hit rate): restaurant, hôtel, coiffeur, plombier, garage, pharmacie, fleuriste, opticien, boulangerie, boucherie, agence immobilière, avocat, médecin, dentiste, vétérinaire, auto-école, taxi. Maps to the PagesJaunes "quoiqui" field. ## `ou` (type: `string`): Location: city or department, e.g. "Rennes" or "35". Maps to the PagesJaunes "où" field. ## `pages` (type: `integer`): Number of result pages to crawl (~20 listings per page). ## `enrichSirene` (type: `boolean`): Match each listing to the French company registry: SIREN, legal name, NACE code, legal form, headcount. Free public data. ## `enrichGoogle` (type: `boolean`): Add Google Maps rating and review count (usually far more reviews than PagesJaunes). Uses the Compass Google Maps actor under the hood. ## `phones` (type: `boolean`): Resolve each phone number via the PagesJaunes AJAX endpoint. Cheap; on by default. ## `sites` (type: `boolean`): Also collect each business website. Requires one extra page navigation per listing, so noticeably slower. ## `useProxy` (type: `boolean`): Recommended at scale: datacenter IPs get challenged by Cloudflare. Routes traffic through French residential proxies. ## Actor input object example ```json { "quoiqui": "restaurant", "ou": "Rennes", "pages": 1, "enrichSirene": true, "enrichGoogle": false, "phones": true, "sites": false, "useProxy": true } ``` # Actor output Schema ## `leads` (type: `string`): One row per business: PagesJaunes contact + SIRENE legal identity + Google reputation. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "quoiqui": "restaurant", "ou": "Rennes" }; // Run the Actor and wait for it to finish const run = await client.actor("rragen/pagesjaunes-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "quoiqui": "restaurant", "ou": "Rennes", } # Run the Actor and wait for it to finish run = client.actor("rragen/pagesjaunes-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "quoiqui": "restaurant", "ou": "Rennes" }' | apify call rragen/pagesjaunes-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rragen/pagesjaunes-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Enriched French Business Leads — PagesJaunes + SIRENE + Google", "description": "Scrape PagesJaunes.fr and enrich each business with its legal identity (SIREN registry) and Google reviews. Sales-ready B2B leads for France.", "version": "0.2", "x-build-id": "tbAhj2hPBKepCyKux" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rragen~pagesjaunes-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rragen-pagesjaunes-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rragen~pagesjaunes-scraper/runs": { "post": { "operationId": "runs-sync-rragen-pagesjaunes-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rragen~pagesjaunes-scraper/run-sync": { "post": { "operationId": "run-sync-rragen-pagesjaunes-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "quoiqui", "ou" ], "properties": { "quoiqui": { "title": "What / who", "type": "string", "description": "Activity or business name — any PagesJaunes term works (e.g. \"notaire\", \"garden center\", or a brand like \"McDonald's\"). These categories additionally get enhanced SIRENE geo-matching (higher legal-identity hit rate): restaurant, hôtel, coiffeur, plombier, garage, pharmacie, fleuriste, opticien, boulangerie, boucherie, agence immobilière, avocat, médecin, dentiste, vétérinaire, auto-école, taxi. Maps to the PagesJaunes \"quoiqui\" field." }, "ou": { "title": "Where", "type": "string", "description": "Location: city or department, e.g. \"Rennes\" or \"35\". Maps to the PagesJaunes \"où\" field." }, "pages": { "title": "Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of result pages to crawl (~20 listings per page).", "default": 1 }, "enrichSirene": { "title": "Enrich with legal identity (SIRENE)", "type": "boolean", "description": "Match each listing to the French company registry: SIREN, legal name, NACE code, legal form, headcount. Free public data.", "default": true }, "enrichGoogle": { "title": "Enrich with Google reviews", "type": "boolean", "description": "Add Google Maps rating and review count (usually far more reviews than PagesJaunes). Uses the Compass Google Maps actor under the hood.", "default": false }, "phones": { "title": "Fetch phone numbers", "type": "boolean", "description": "Resolve each phone number via the PagesJaunes AJAX endpoint. Cheap; on by default.", "default": true }, "sites": { "title": "Fetch websites", "type": "boolean", "description": "Also collect each business website. Requires one extra page navigation per listing, so noticeably slower.", "default": false }, "useProxy": { "title": "Use Apify residential proxy (FR)", "type": "boolean", "description": "Recommended at scale: datacenter IPs get challenged by Cloudflare. Routes traffic through French residential proxies.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```