# LF immo Consultants · Full profiles infos (emails, phones) (`corent1robert/lf-immo-agents`) Actor Export LF immo negotiators from the public advisor finder: names, roles, profile links, photos. Full France catalog or paste profile URLs. CRM-ready JSON. Custom work: corentin@outreacher.fr - **URL**: https://apify.com/corent1robert/lf-immo-agents.md - **Developed by:** [Corentin Robert](https://apify.com/corent1robert) (community) - **Categories:** Lead generation, Real estate, 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 ## LF immo agents Export public **LF immo** real estate advisors from the official directory (`lfimmo.fr/agents`): names, role lines, profile URLs, and photos. Use the **full France catalog** or paste **specific profile URLs** when you already know which pages you need. ### What you get | Field | Description | |--------|-------------| | `agentId` | Numeric id from the profile URL | | `slug` | URL path segment after the id | | `displayName` | Advisor name | | `jobTitle` | **Role / area** on listings: job line (`card-subtitle`) and city line (`card-text`), e.g. `Agent commercial en immobilier · Strasbourg, 67200`. On profile URLs mode: main lead paragraph. | | `email` | Professional email when the page exposes a direct `mailto:` (not the share-your-link helper). | | `phone` | French display number from the site tooltip when present (e.g. `06 61 65 66 17`) | | `phoneE164` | Same number in E.164 from the `tel:` link (e.g. `+33661656617`) | | `profileUrl` | Canonical `lfimmo.fr` profile page | | `photoUrl` | Photo URL when shown on the listing or profile | ### Important - Data comes from **public** pages. Respect LF immo terms of use and applicable law (GDPR, marketing rules) when storing or contacting people. - **Phone numbers** are personal data: only collect and use them for lawful purposes (e.g. B2B prospecting where permitted). - The directory uses **paginated HTML** (`rel="next"`). Full runs may take several minutes. ### Quick start (Apify Console) 1. Create a new run for this Actor. 2. Choose **Full directory** or **URLs — profile pages only**. 3. If using URLs mode, paste one profile URL per line. 4. Start the run and open the **Dataset** when it finishes. Use **Run log** in the key-value store for live progress. ### Input | Field | Default | Description | |--------|---------|-------------| | `mode` | `list` | `list` = entire directory; `urls` = only `startUrls` | | `startUrls` | `[]` | Profile URLs (URLs mode only) | | `maxResults` | `0` | Cap rows (`0` = unlimited) | | `concurrency` | `55` | Parallel dataset writes | | `listConcurrency` | `40` | Parallel fetches in URLs mode | | `fetchTimeout` | `45000` | Per-request timeout (ms) | Example (API / JSON): ```json { "mode": "list", "maxResults": 0 } ```` ### Output - **Dataset**: one JSON object per advisor. - **RUN\_LOG**: text log with progress (key-value store). ### Local development ```bash npm install echo '{"mode":"list","maxResults":15}' > input.json apify run ``` Results are written under `storage/datasets/default/`. With a non-empty dataset, the Actor also writes `output.csv` (semicolon-separated, UTF-8 BOM) next to `input.json`. ### Support Contact if you need a custom scraper or integration. ### Internals - **HTTP + Cheerio** only (no browser): listing pages and profile HTML are parsed server-side. - Apify Proxy is enabled by default on the cloud when available. # Actor input Schema ## `mode` (type: `string`): Full directory: national catalog. URLs: only the profile links you paste. ## `startUrls` (type: `array`): Paste LF immo profile URLs — one per line. Example: https://www.lfimmo.fr/agents/52-dominique-bezu-strasbourg-67200 (URLs mode only). ## `maxResults` (type: `integer`): 0 = no limit. Use a small number for quick tests. ## `concurrency` (type: `integer`): How many dataset rows are written in parallel after records are collected. ## `listConcurrency` (type: `integer`): How many profile requests run at once in URLs mode. ## `fetchTimeout` (type: `integer`): Maximum wait time per request before the Actor retries or skips. ## Actor input object example ```json { "mode": "list", "startUrls": [ { "url": "https://www.lfimmo.fr/agents/52-dominique-bezu-strasbourg-67200" } ], "maxResults": 5, "concurrency": 55, "listConcurrency": 40, "fetchTimeout": 45000 } ``` # 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, role, profile URL. ## `runLog` (type: `string`): Progress while scanning the directory 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 = { "startUrls": [ { "url": "https://www.lfimmo.fr/agents/52-dominique-bezu-strasbourg-67200" } ], "maxResults": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("corent1robert/lf-immo-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 = { "startUrls": [{ "url": "https://www.lfimmo.fr/agents/52-dominique-bezu-strasbourg-67200" }], "maxResults": 5, } # Run the Actor and wait for it to finish run = client.actor("corent1robert/lf-immo-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 '{ "startUrls": [ { "url": "https://www.lfimmo.fr/agents/52-dominique-bezu-strasbourg-67200" } ], "maxResults": 5 }' | apify call corent1robert/lf-immo-agents --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=corent1robert/lf-immo-agents", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LF immo Consultants · Full profiles infos (emails, phones)", "description": "Export LF immo negotiators from the public advisor finder: names, roles, profile links, photos. Full France catalog or paste profile URLs. CRM-ready JSON. Custom work: corentin@outreacher.fr", "version": "1.3", "x-build-id": "NC0wlXvC1uRZ0sISL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/corent1robert~lf-immo-agents/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-corent1robert-lf-immo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/corent1robert~lf-immo-agents/runs": { "post": { "operationId": "runs-sync-corent1robert-lf-immo-agents", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/corent1robert~lf-immo-agents/run-sync": { "post": { "operationId": "run-sync-corent1robert-lf-immo-agents", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "list", "urls" ], "type": "string", "description": "Full directory: national catalog. URLs: only the profile links you paste.", "default": "list" }, "startUrls": { "title": "Profile URLs", "type": "array", "description": "Paste LF immo profile URLs — one per line. Example: https://www.lfimmo.fr/agents/52-dominique-bezu-strasbourg-67200 (URLs mode only).", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxResults": { "title": "Max rows", "minimum": 0, "type": "integer", "description": "0 = no limit. Use a small number for quick tests.", "default": 0 }, "concurrency": { "title": "Row push parallelism", "minimum": 3, "maximum": 100, "type": "integer", "description": "How many dataset rows are written in parallel after records are collected.", "default": 55 }, "listConcurrency": { "title": "Profile request parallelism", "minimum": 5, "maximum": 80, "type": "integer", "description": "How many profile requests run at once in URLs mode.", "default": 40 }, "fetchTimeout": { "title": "Request timeout (ms)", "minimum": 15000, "type": "integer", "description": "Maximum wait time per request before the Actor retries or skips.", "default": 45000 } } }, "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 } } } } } } } } } } ```