# eXp France Consultants · Full profiles infos (emails, phones) (`corent1robert/exp-france-agents`) Actor Export eXp France advisors from the same public directory the official site uses: names, emails, phones, cities, RSAC, licence, profile links on expfrance.fr, photos. Filter Active-only or all statuses. CRM-ready JSON. Custom work: corentin@outreacher.fr - **URL**: https://apify.com/corent1robert/exp-france-agents.md - **Developed by:** [Corentin Robert](https://apify.com/corent1robert) (community) - **Categories:** Lead generation, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## eXp France — advisor directory export **Who it’s for:** sales teams, recruiters, and data analysts who need a **complete, export-ready list** of eXp France advisors with **professional contact details** and **links to public profiles** on [expfrance.fr](https://www.expfrance.fr). **What you get:** one row per advisor — name, email, phone, city and postal code, role label, RSAC / licence fields when present, profile URL and photo URL when the source includes them. **No browser** — runs read the same **public directory** the official advisor finder uses, so you get consistent, structured data for CRM or enrichment. **Trust:** data reflects what the published directory exposes; use contacts responsibly (see **Important** below). --- ### What you get | Field | Description | |--------|-------------| | `sourceId` | Advisor id in the upstream directory | | `externalKey` | Secondary public key when present | | `firstName` / `lastName` | Name | | `email` / `phone` | Professional contact fields | | `status` | e.g. Active | | `city` / `postalCode` | Location | | `jobTitle` | Role label when present | | `licenceNumber` / `rsacLabel` | Compliance fields when present | | `profileUrl` | Public page on expfrance.fr (when a link is present in the source) | | `photoUrl` | Photo URL | | `recordId` | Stable UUID in the directory | ### Important - Contact fields are **professional data** from the public directory. Use them in line with eXp France terms, GDPR, and French marketing rules. - The Actor relies on the **read-only credentials** bundled with the public expfrance.fr app. If the provider changes how the directory is exposed, this Actor may need an update — see **Internals** for technical context. ### Quick start (Apify Console) 1. Leave **Active advisors only** (default) or choose **All statuses** if you need every row returned by the source. 2. Start the run. 3. Open the **Dataset** for JSON or Excel export; open **Run log** in the key-value store to follow progress live. ### Input | Field | Default | Description | |--------|---------|-------------| | `statusFilter` | `active` | **Active advisors only** (recommended) or **All statuses** | | `maxResults` | `0` | Cap rows (`0` = full directory) | | `pageSize` | `500` | How many advisors are fetched per round trip (50–1000) | | `concurrency` | `55` | Parallelism when writing rows to the dataset | | `fetchTimeout` | `60000` | Max wait per request (milliseconds) | ```json { "statusFilter": "active", "maxResults": 0 } ```` ### How it works 1. Loads the **France** advisor list from the public directory (same origin as the official site). 2. Paginates until the full list is retrieved (or until `maxResults` is reached). 3. Normalizes each row and pushes it to your Apify dataset. 4. Writes a text **RUN\_LOG** so you can monitor long runs. ### Output - **Dataset:** one JSON object per advisor. - **RUN\_LOG:** live text log in the default key-value store. #### Sample record ```json { "sourceId": "1002", "externalKey": "103133", "firstName": "Rudy", "lastName": "PLONGEUR", "email": "rudy.plongeur@expfrance.fr", "phone": "0764013297", "status": "Active", "city": "Marseille 8ème", "postalCode": "13008", "jobTitle": "Commercial", "licenceNumber": "909527657", "rsacLabel": "909527657 Marseille", "profileUrl": "https://www.expfrance.fr/fr-rudy-plongeur-103133", "photoUrl": "https://img.netty.immo/company54396zsr/assets/nego/1002_l.jpg", "countryCode": "FR", "recordId": "0a3a9c9a-8292-41d5-bec5-06d6c110cf7c" } ``` ### Local development ```bash npm install echo '{"statusFilter":"active","maxResults":40}' > input.json apify run ``` After a successful local run, `output.csv` is written next to `input.json` (semicolon-separated, UTF-8 BOM for Excel). ### Support Contact if you need a custom scraper or tailored automation. ### Internals - HTTP requests to the directory **REST API** (PostgREST-style) with `country_code=eq.FR` and optional `status=eq.Active`. - Pagination uses standard `Range` headers and total counts from response headers. - Apify Proxy is enabled by default in the cloud when available. # Actor input Schema ## `statusFilter` (type: `string`): Active only (recommended) or include every status returned by the source. ## `maxResults` (type: `integer`): 0 = no limit. Use a small number for quick tests. ## `pageSize` (type: `integer`): Rows per request when reading the directory (larger = fewer round trips). ## `concurrency` (type: `integer`): How many dataset rows are written in parallel. ## `fetchTimeout` (type: `integer`): Maximum wait time per page request. ## Actor input object example ```json { "statusFilter": "active", "maxResults": 25, "pageSize": 500, "concurrency": 55, "fetchTimeout": 60000 } ``` # Actor output Schema ## `dataset` (type: `string`): All advisors as JSON — open the Dataset tab or export CSV / Excel. ## `overview` (type: `string`): Slim columns for CRM: name, city, email, profile URL. ## `runLog` (type: `string`): Progress while loading pages and saving rows. # 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 = { "maxResults": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("corent1robert/exp-france-agents").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 = { "maxResults": 25 } # Run the Actor and wait for it to finish run = client.actor("corent1robert/exp-france-agents").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 '{ "maxResults": 25 }' | apify call corent1robert/exp-france-agents --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=corent1robert/exp-france-agents", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "eXp France Consultants · Full profiles infos (emails, phones)", "description": "Export eXp France advisors from the same public directory the official site uses: names, emails, phones, cities, RSAC, licence, profile links on expfrance.fr, photos. Filter Active-only or all statuses. CRM-ready JSON. Custom work: corentin@outreacher.fr", "version": "1.1", "x-build-id": "NjYxgNlIUaejEtPqi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/corent1robert~exp-france-agents/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-corent1robert-exp-france-agents", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/corent1robert~exp-france-agents/runs": { "post": { "operationId": "runs-sync-corent1robert-exp-france-agents", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/corent1robert~exp-france-agents/run-sync": { "post": { "operationId": "run-sync-corent1robert-exp-france-agents", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "statusFilter": { "title": "Status", "enum": [ "active", "all" ], "type": "string", "description": "Active only (recommended) or include every status returned by the source.", "default": "active" }, "maxResults": { "title": "Max rows", "minimum": 0, "type": "integer", "description": "0 = no limit. Use a small number for quick tests.", "default": 0 }, "pageSize": { "title": "Page size", "minimum": 50, "maximum": 1000, "type": "integer", "description": "Rows per request when reading the directory (larger = fewer round trips).", "default": 500 }, "concurrency": { "title": "Row push parallelism", "minimum": 3, "maximum": 100, "type": "integer", "description": "How many dataset rows are written in parallel.", "default": 55 }, "fetchTimeout": { "title": "Request timeout (ms)", "minimum": 15000, "type": "integer", "description": "Maximum wait time per page request.", "default": 60000 } } }, "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 } } } } } } } } } } ```