# Leboncoin Cars Phone Leads Scraper (`mostafa-ennadi/leboncoin-cars-phone-leads-scraper`) Actor Extract Leboncoin car ads with phone numbers using filters like city, price range, brand, fuel, gearbox, mileage, year, and seller type. Export structured results in JSON or CSV. - **URL**: https://apify.com/mostafa-ennadi/leboncoin-cars-phone-leads-scraper.md - **Developed by:** [mostafa ennadi](https://apify.com/mostafa-ennadi) (community) - **Categories:** Lead generation, Automation, E-commerce - **Stats:** 6 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $1.00 / 1,000 annonces 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 ## Leboncoin Cars Phone Leads Scraper [English](#english) | [Français](#français) --- ### English #### Overview Extract **Leboncoin car ads with phone numbers** using simple filters: - city or all France - price range - brand - fuel - gearbox - mileage - year - seller type This actor is built for **car lead generation** and returns structured results in the default dataset. #### What this actor does - Scrapes **car ads** from Leboncoin - Retrieves **phone-number leads** - Supports **city-specific search** or **France-wide search** - Lets you filter by practical car fields - Writes clean results to the **dataset** - Shows simple run logs with: - progress - current page - processed ads - found ads - phone leads - final results #### Best for - lead generation - car prospecting - automotive market research - ad monitoring - reseller and dealer research #### Input fields | Field | Type | Description | |---|---|---| | `city` | string | Optional city name. Leave empty to search across France | | `price_min` | integer | Minimum price | | `price_max` | integer | Maximum price | | `brand` | string | Car brand | | `fuel` | string | Fuel code | | `gearbox` | string | Gearbox code | | `mileage_min` | integer | Minimum mileage | | `mileage_max` | integer | Maximum mileage | | `year_min` | integer | Minimum year | | `year_max` | integer | Maximum year | | `owner_type` | string | `all`, `private`, or `pro` | | `only_with_phone` | boolean | Keep only ads with a phone number | | `max_pages` | integer | Optional page limit | | `max_items` | integer | Number of results to collect. Default `1000`, max `20000` | | `request_id` | string | Optional custom request identifier | #### Fuel codes | Code | Value | |---|---| | `1` | Essence | | `2` | Diesel | | `4` | Electric | | `6` | Hybrid | | `8` | Plug-in Hybrid | #### Gearbox codes | Code | Value | |---|---| | `1` | Manual | | `2` | Automatic | #### Example input ```json { "city": "", "price_min": 3000, "price_max": 12000, "brand": "RENAULT", "fuel": "2", "gearbox": "1", "mileage_min": 0, "mileage_max": 180000, "year_min": 2014, "year_max": 2022, "owner_type": "private", "only_with_phone": true, "max_items": 1000 } ```` #### How `only_with_phone` works If: ```json { "only_with_phone": true } ``` the actor will keep **only results that contain a phone number** in the final dataset. This means: - ads without a phone number are skipped from final output - cached phone numbers are reused when available - live phone lookup is used when needed #### Output fields Typical output fields include: - `list_id` - `url` - `subject` - `price` - `price_cents` - `has_phone` - `phonenumber` - `owner.type` - `owner.name` - `location.city` - `location.zipcode` - `location.department_id` - `location.region_name` - `brand` - `model` - `regdate` - `issuance_date` - `mileage` - `fuel` - `gearbox` - `doors` - `seats` - `vehicle_type` - `vehicle_damage` - `vehicule_color` - `horsepower` - `horse_power_din` - `critair` - `vehicle_technical_inspection_a` - `first_publication_date` - `index_date` - `status` - `images.nb_images` - `body` #### Example output item ```json { "list_id": "3178003486", "url": "https://www.leboncoin.fr/ad/voitures/3178003486", "subject": "Renault Clio", "price": 8900, "price_cents": 890000, "has_phone": true, "phonenumber": "0612345678", "owner.type": "private", "owner.name": "Jean", "location.city": "Paris", "location.zipcode": "75015", "location.department_id": "75", "location.region_name": "Île-de-France", "brand": "Renault", "model": "Clio", "regdate": 2018, "mileage": 95000, "fuel": "Diesel", "gearbox": "Manual", "status": "active" } ``` #### Pricing This actor can be monetized on a simple result basis: **$1.00 / 1,000 results** #### Notes - `city` is optional - if `city` is empty, the actor searches across **France** - `max_items` default is `1000` - `max_items` maximum is `20000` - `max_workers` is fixed internally - output is handled in **JSON** and written to the default dataset *** ### Français #### Présentation Extrayez des **annonces auto Leboncoin avec numéros de téléphone** grâce à des filtres simples : - ville ou toute la France - plage de prix - marque - carburant - boîte de vitesse - kilométrage - année - type de vendeur Cet actor est conçu pour la **génération de leads automobiles** et retourne des résultats structurés dans le dataset par défaut. #### Ce que fait cet actor - Scrape les **annonces automobiles** - Récupère des **leads avec numéros de téléphone** - Permet une recherche **par ville** ou sur **toute la France** - Utilise des filtres pratiques pour les véhicules - Écrit les résultats dans le **dataset** - Affiche des logs simples avec : - progression - page actuelle - annonces traitées - annonces trouvées - leads avec téléphone - résultats finaux #### Cas d’usage - génération de leads - prospection automobile - recherche de vendeurs - veille marché auto - suivi d’annonces - analyse concurrentielle #### Champs d’entrée | Champ | Type | Description | |---|---|---| | `city` | string | Ville optionnelle. Laissez vide pour chercher sur toute la France | | `price_min` | integer | Prix minimum | | `price_max` | integer | Prix maximum | | `brand` | string | Marque du véhicule | | `fuel` | string | Code carburant | | `gearbox` | string | Code boîte de vitesse | | `mileage_min` | integer | Kilométrage minimum | | `mileage_max` | integer | Kilométrage maximum | | `year_min` | integer | Année minimum | | `year_max` | integer | Année maximum | | `owner_type` | string | `all`, `private` ou `pro` | | `only_with_phone` | boolean | Garder uniquement les annonces avec téléphone | | `max_pages` | integer | Limite optionnelle du nombre de pages | | `max_items` | integer | Nombre de résultats à collecter. Par défaut `1000`, maximum `20000` | | `request_id` | string | Identifiant facultatif | #### Codes carburant | Code | Valeur | |---|---| | `1` | Essence | | `2` | Diesel | | `4` | Électrique | | `6` | Hybride | | `8` | Hybride rechargeable | #### Codes boîte de vitesse | Code | Valeur | |---|---| | `1` | Manuelle | | `2` | Automatique | #### Exemple d’entrée ```json { "city": "", "price_min": 3000, "price_max": 12000, "brand": "RENAULT", "fuel": "2", "gearbox": "1", "mileage_min": 0, "mileage_max": 180000, "year_min": 2014, "year_max": 2022, "owner_type": "private", "only_with_phone": true, "max_items": 1000 } ``` #### Fonctionnement de `only_with_phone` Si vous utilisez : ```json { "only_with_phone": true } ``` l’actor gardera **uniquement les résultats contenant un numéro de téléphone** dans le dataset final. Cela signifie : - les annonces sans numéro sont exclues de la sortie finale - les numéros déjà présents en cache sont réutilisés - une recherche du numéro est lancée si nécessaire #### Champs de sortie Les champs de sortie typiques incluent : - `list_id` - `url` - `subject` - `price` - `price_cents` - `has_phone` - `phonenumber` - `owner.type` - `owner.name` - `location.city` - `location.zipcode` - `location.department_id` - `location.region_name` - `brand` - `model` - `regdate` - `issuance_date` - `mileage` - `fuel` - `gearbox` - `doors` - `seats` - `vehicle_type` - `vehicle_damage` - `vehicule_color` - `horsepower` - `horse_power_din` - `critair` - `vehicle_technical_inspection_a` - `first_publication_date` - `index_date` - `status` - `images.nb_images` - `body` #### Exemple de résultat ```json { "list_id": "3178003486", "url": "https://www.leboncoin.fr/ad/voitures/3178003486", "subject": "Renault Clio", "price": 8900, "price_cents": 890000, "has_phone": true, "phonenumber": "0612345678", "owner.type": "private", "owner.name": "Jean", "location.city": "Paris", "location.zipcode": "75015", "location.department_id": "75", "location.region_name": "Île-de-France", "brand": "Renault", "model": "Clio", "regdate": 2018, "mileage": 95000, "fuel": "Diesel", "gearbox": "Manuelle", "status": "active" } ``` #### Tarification Cet actor peut être monétisé simplement au résultat : **$1.00 / 1 000 résultats** #### Remarques - `city` est optionnel - si `city` est vide, la recherche se fait sur **toute la France** - `max_items` par défaut est `1000` - `max_items` maximum est `20000` - `max_workers` est fixé en interne - la sortie est gérée en **JSON** puis écrite dans le dataset par défaut # Actor input Schema ## `city` (type: `string`): City name. Example: Paris. ## `price_min` (type: `integer`): Minimum vehicle price. ## `price_max` (type: `integer`): Maximum vehicle price. ## `brand` (type: `string`): Select a car brand. ## `fuel` (type: `string`): Select fuel type. ## `gearbox` (type: `string`): Select gearbox type. ## `mileage_min` (type: `integer`): Minimum mileage. ## `mileage_max` (type: `integer`): Maximum mileage. ## `year_min` (type: `integer`): Minimum registration year. ## `year_max` (type: `integer`): Maximum registration year. ## `owner_type` (type: `string`): Filter by seller type. ## `only_with_phone` (type: `boolean`): Keep only ads that contain a phone number. ## `max_pages` (type: `integer`): Maximum number of pages to process. ## `max_items` (type: `integer`): Maximum number of items to return. ## `request_id` (type: `string`): Optional custom request identifier. ## Actor input object example ```json { "brand": "", "fuel": "", "gearbox": "", "owner_type": "all", "only_with_phone": false, "max_items": 1000 } ``` # Actor output Schema ## `job_uuid` (type: `string`): Unique remote job identifier. ## `status` (type: `string`): Final actor status. ## `download_type` (type: `string`): Final download format. ## `item_count` (type: `string`): Number of exported items. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("mostafa-ennadi/leboncoin-cars-phone-leads-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 = {} # Run the Actor and wait for it to finish run = client.actor("mostafa-ennadi/leboncoin-cars-phone-leads-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 '{}' | apify call mostafa-ennadi/leboncoin-cars-phone-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mostafa-ennadi/leboncoin-cars-phone-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Leboncoin Cars Phone Leads Scraper", "description": "Extract Leboncoin car ads with phone numbers using filters like city, price range, brand, fuel, gearbox, mileage, year, and seller type. Export structured results in JSON or CSV.", "version": "0.0", "x-build-id": "Cw7iNOlsI4a65kstS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mostafa-ennadi~leboncoin-cars-phone-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mostafa-ennadi-leboncoin-cars-phone-leads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mostafa-ennadi~leboncoin-cars-phone-leads-scraper/runs": { "post": { "operationId": "runs-sync-mostafa-ennadi-leboncoin-cars-phone-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mostafa-ennadi~leboncoin-cars-phone-leads-scraper/run-sync": { "post": { "operationId": "run-sync-mostafa-ennadi-leboncoin-cars-phone-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "city": { "title": "City", "type": "string", "description": "City name. Example: Paris." }, "price_min": { "title": "Min price", "minimum": 0, "type": "integer", "description": "Minimum vehicle price." }, "price_max": { "title": "Max price", "minimum": 0, "type": "integer", "description": "Maximum vehicle price." }, "brand": { "title": "Brand", "enum": [ "", "RENAULT", "PEUGEOT", "CITROEN", "DACIA", "VOLKSWAGEN", "BMW", "MERCEDES", "AUDI", "TOYOTA", "NISSAN", "OPEL", "FORD", "FIAT", "HYUNDAI", "KIA", "SEAT", "SKODA", "VOLVO", "MAZDA", "HONDA" ], "type": "string", "description": "Select a car brand.", "default": "" }, "fuel": { "title": "Fuel", "enum": [ "", "1", "2", "4", "6", "8" ], "type": "string", "description": "Select fuel type.", "default": "" }, "gearbox": { "title": "Gearbox", "enum": [ "", "1", "2" ], "type": "string", "description": "Select gearbox type.", "default": "" }, "mileage_min": { "title": "Min mileage", "minimum": 0, "type": "integer", "description": "Minimum mileage." }, "mileage_max": { "title": "Max mileage", "minimum": 0, "type": "integer", "description": "Maximum mileage." }, "year_min": { "title": "Min year", "minimum": 1900, "type": "integer", "description": "Minimum registration year." }, "year_max": { "title": "Max year", "minimum": 1900, "type": "integer", "description": "Maximum registration year." }, "owner_type": { "title": "Seller type", "enum": [ "all", "private", "pro" ], "type": "string", "description": "Filter by seller type.", "default": "all" }, "only_with_phone": { "title": "Only ads with phone", "type": "boolean", "description": "Keep only ads that contain a phone number.", "default": false }, "max_pages": { "title": "Max pages", "minimum": 1, "type": "integer", "description": "Maximum number of pages to process." }, "max_items": { "title": "Max items", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Maximum number of items to return.", "default": 1000 }, "request_id": { "title": "Request ID", "type": "string", "description": "Optional custom request identifier." } } }, "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 } } } } } } } } } } ```