# Efficity Consultants · Full profiles infos (emails, phones) (`corent1robert/efficity-consultants`) Actor For sales teams and CRM projects: export Efficity independent real estate consultants across France — names, phones, emails, areas, Immodvisor signals, services, and full profile text. Paste profile URLs or run the full directory in one click. Contact corentin@outreacher.fr for custom integrations. - **URL**: https://apify.com/corent1robert/efficity-consultants.md - **Developed by:** [Corentin Robert](https://apify.com/corent1robert) (community) - **Categories:** Lead generation, Real estate, Automation - **Stats:** 2 total users, 2 monthly users, 0.0% 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 ## Efficity Consultants Scraper Export **Efficity** independent real estate consultants (mandataires) from the public directory at [efficity.com/consultants-immobiliers](https://www.efficity.com/consultants-immobiliers/). You get **export-ready rows**: names, phones, emails, coverage hints, Immodvisor signals, specialties, services, and full presentation text — for CRM, prospecting, or market mapping. **Built for:** Lead lists · Territory mapping · CRM enrichment · Market research **Custom automation or integrations:** [corentin@outreacher.fr](mailto:corentin@outreacher.fr) --- ### What does it do? | Mode | What you get | Best for | |------|----------------|----------| | **Full directory** | Every consultant discovered on the public annuaire (cities, departments, regions), then one row per profile | National or large-scale export | | **URLs** | Only the profile pages you paste | Refreshing or enriching an existing list | The site serves **HTML in the first response**; this Actor uses **HTTP + Cheerio** (no browser). Emails hidden behind Cloudflare are **decoded** when `data-cfemail` is present. --- ### How it works 1. **Full directory:** Load the national consultants index, collect every listing URL (`v_` / `d_` / `r_`), then **fetch listing pages with a bounded worker pool** (your **Directory parallelism** input, default 40). As soon as one request finishes, the next URL starts — better throughput than waiting for a whole batch to finish. Slugs are deduplicated as pages are processed. 2. **URLs:** Parse your `efficity.com/{slug}/` links into slugs (duplicates removed). 3. **Profiles:** Same pool pattern for profile URLs (**Profile parallelism**, default **55**). Each slot runs fetch → Cheerio parse → `pushData` so rows appear in the dataset while the run is still downloading other profiles. 4. **Local only:** After a successful run, write **`output.csv`** next to the project (UTF-8 BOM, `;` separator) for Excel. --- ### Output fields | Category | Fields | |----------|--------| | **Identity** | `slug`, `displayName`, `headline`, `subtitle` | | **Geography** | `ville`, `departement` (from page analytics when present) | | **Contact** | `phones`, `email`, `profileUrl`, `photoUrl` | | **Trust / ratings** | `immodvisorRating`, `immodvisorUrl`, `immodvisorRecommendations` | | **Offer** | `specialties`, `services` | | **Copy** | `aboutBrief`, `aboutFull`, `metaDescription`, `ogDescription` | | **Local context** | `priceM2Estimate` (m² price band when shown on the profile) | Use the Dataset view **Consultants — Overview** for a slim table; the default dataset contains full rows. --- ### Sample output (one consultant) ```json { "slug": "apoisneau", "profileUrl": "https://www.efficity.com/apoisneau/", "displayName": "Alexandre POISNEAU", "subtitle": "Votre Consultant immobilier à Bruz", "ville": "Bruz", "departement": "35", "phones": ["+33 6 61 96 67 65"], "email": "apoisneau@efficity.com", "specialties": ["Immobilier ancien", "Location"], "services": ["Estimation offerte sur place", "Accompagnement personnalisé"] } ```` *** ### Run log and status - **Console / Apify log:** Phase banners (`====`), progress lines, counts, and duration — **English only**. - **RUN\_LOG:** The same lines are written to the **default key-value store** as `RUN_LOG` (text) so you can follow progress while the run is active. - **Run page:** On Apify Cloud, short **status messages** describe the current phase (listing, fetching profiles, done). *** ### Quick start (Apify Console) 1. Create a run and choose **Full directory** or **URLs**. 2. For **URLs**, paste profile links such as `https://www.efficity.com/apoisneau/`. 3. Optional: set **Max consultants** to a small number for a trial (**Full directory** only). 4. Open **Dataset** for JSON/CSV export, or **Key-value store → RUN\_LOG** for live text progress. *** ### Input examples **Full directory (no cap):** ```json { "mode": "list" } ``` **Full directory — first 50 consultants after listing:** ```json { "mode": "list", "maxResults": 50 } ``` **Specific profiles:** ```json { "mode": "urls", "startUrls": [ { "url": "https://www.efficity.com/apoisneau/" }, { "url": "https://www.efficity.com/gbrossaud/" } ] } ``` *** ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `mode` | string | `list` | `list` (full directory) or `urls` (your links only) | | `startUrls` | array | `[]` | Consultant profile URLs (`urls` mode) | | `maxResults` | integer | `0` | Max consultants after listing (`0` = no limit) | | `concurrency` | integer | `55` | Max concurrent profile pipelines (fetch + parse + dataset push) | | `listConcurrency` | integer | `40` | Max concurrent directory pages (`list` mode) | | `fetchTimeout` | integer | `45000` | Per-request timeout (ms) | *** ### Local development ```bash npm install npm test apify run ``` - **`input.json`** in the project folder is merged with Console/API input (cloud input wins when both apply). - Results: **`storage/datasets/default/`** (JSON items). - **`output.csv`** is written at the project root after a successful local run (fixed column order; lists joined with `|`; see **How it works**). *** ### Important - **Terms and law:** Use scraped data in line with Efficity’s terms and applicable privacy law (e.g. GDPR for personal data). - **Immodvisor:** Links on a profile may point to **network-level** Immodvisor pages; values are exported as shown on the site. - **Full runs:** A national export issues hundreds of directory requests plus one request per consultant; default **timeout** and **memory** are set for long runs (see `actor.json`). If the site throttles or returns errors, lower **Directory parallelism** and **Profile parallelism** (defaults **40** / **55**; caps **80** / **100**). Progress **ETA** stabilizes after the first ~20 profiles (early estimates can be noisy). *** ### Support Contact for bespoke scraping, scheduling, or CRM connectors. # Actor input Schema ## `mode` (type: `string`): Full directory: national catalog. URLs: only the profile links you paste. ## `startUrls` (type: `array`): Paste Efficity consultant profile URLs — one per line. Example: https://www.efficity.com/your-slug/ (URLs mode only). ## `maxResults` (type: `integer`): 0 = no limit. Prefill 5 only seeds the Apify Console form for quick tests; default when omitted is 0. ## `concurrency` (type: `integer`): Max concurrent profiles being fetched, parsed, and written to the dataset. ## `listConcurrency` (type: `integer`): Max concurrent directory-page requests in full-directory mode. ## `fetchTimeout` (type: `integer`): Maximum wait time per page before the Actor retries or skips. ## Actor input object example ```json { "mode": "list", "startUrls": [ { "url": "https://www.efficity.com/apoisneau/" } ], "maxResults": 5, "concurrency": 55, "listConcurrency": 40, "fetchTimeout": 45000 } ``` # Actor output Schema ## `dataset` (type: `string`): All consultants as JSON — open the Dataset tab or export CSV / Excel. ## `overview` (type: `string`): Slim columns for CRM: name, phones, email, area, profile URL. ## `runLog` (type: `string`): Progress while listing directory pages and enriching profiles. # 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.efficity.com/apoisneau/" } ], "maxResults": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("corent1robert/efficity-consultants").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.efficity.com/apoisneau/" }], "maxResults": 5, } # Run the Actor and wait for it to finish run = client.actor("corent1robert/efficity-consultants").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.efficity.com/apoisneau/" } ], "maxResults": 5 }' | apify call corent1robert/efficity-consultants --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=corent1robert/efficity-consultants", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Efficity Consultants · Full profiles infos (emails, phones)", "description": "For sales teams and CRM projects: export Efficity independent real estate consultants across France — names, phones, emails, areas, Immodvisor signals, services, and full profile text. Paste profile URLs or run the full directory in one click. Contact corentin@outreacher.fr for custom integrations.", "version": "1.1", "x-build-id": "hHnnDhcohTGTKr1Lf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/corent1robert~efficity-consultants/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-corent1robert-efficity-consultants", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/corent1robert~efficity-consultants/runs": { "post": { "operationId": "runs-sync-corent1robert-efficity-consultants", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/corent1robert~efficity-consultants/run-sync": { "post": { "operationId": "run-sync-corent1robert-efficity-consultants", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Consultant profile URLs", "type": "array", "description": "Paste Efficity consultant profile URLs — one per line. Example: https://www.efficity.com/your-slug/ (URLs mode only).", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxResults": { "title": "Max consultants", "minimum": 0, "type": "integer", "description": "0 = no limit. Prefill 5 only seeds the Apify Console form for quick tests; default when omitted is 0.", "default": 0 }, "concurrency": { "title": "Profile parallelism", "minimum": 3, "maximum": 100, "type": "integer", "description": "Max concurrent profiles being fetched, parsed, and written to the dataset.", "default": 55 }, "listConcurrency": { "title": "Directory parallelism", "minimum": 5, "maximum": 80, "type": "integer", "description": "Max concurrent directory-page requests in full-directory mode.", "default": 40 }, "fetchTimeout": { "title": "Request timeout (ms)", "minimum": 15000, "type": "integer", "description": "Maximum wait time per page 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 } } } } } } } } } } ```