# Leboncoin Classifieds Scraper (`jungle_synthesizer/leboncoin-scraper`) Actor

Scrape classified ads from leboncoin.fr — title, price, location, images, attributes, and owner type. Pass any category or search URL.

- **URL**: https://apify.com/jungle\_synthesizer/leboncoin-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** E-commerce, Real estate
- **Stats:** 2 total users, 1 monthly users, 90.9% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.60 / 1,000 record scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Classifieds Scraper

Scrape classified ads from **leboncoin.fr** — title, price, location, images, attributes, seller type, and full description. Point it at any category or search URL, or just give it a keyword.

***

### What you get

Each ad record contains:

| Field | Description |
|-------|-------------|
| `id` | Unique ad identifier |
| `title` | Ad title |
| `price` | Price as displayed (e.g. `450 €`, `Gratuit`) |
| `price_value` | Numeric price (null if free / no price) |
| `currency` | Currency code (EUR) |
| `location` | City / location of the ad |
| `department` | French department code or name |
| `category` | Ad category name |
| `url` | Full URL of the ad detail page |
| `images` | Comma-separated list of image URLs |
| `attributes` | JSON key/value attributes (mileage, brand, fuel type, …) |
| `owner_type` | `pro` (professional) or `private` (individual) |
| `owner_name` | Seller or store name |
| `description` | Full ad description text |
| `published_at` | Ad publication date (ISO-8601) |
| `scraped_at` | Scrape timestamp (ISO-8601) |

***

### Input

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `startUrls` | array | — | Leboncoin category or search URLs to scrape. If omitted, a search URL is built from `searchQuery`. |
| `searchQuery` | string | — | Keyword to search on leboncoin.fr. Ignored if `startUrls` is provided. |
| `category` | string | — | Category ID (numeric) or slug, used when building a search from `searchQuery`. |
| `maxItems` | integer | `10` | Maximum number of ads to return. |

#### Example — keyword search

```json
{
  "searchQuery": "vélo électrique",
  "maxItems": 100
}
```

#### Example — category URL

```json
{
  "startUrls": [{ "url": "https://www.leboncoin.fr/recherche?category=9&locations=Paris_75" }],
  "maxItems": 200
}
```

***

### How it works

1. Resolves your input to a leboncoin.fr search or category URL.
2. Loads listing pages through a hardened browser layer that clears leboncoin's bot protection.
3. Parses each ad card and, where present, the detail page — price, location, attributes, seller type, images.
4. Returns up to `maxItems` ads.

***

### Who it's for

- **Resellers & arbitrageurs** tracking prices across categories.
- **Market analysts** monitoring listing volume and pricing on France's largest classifieds site.
- **Lead-gen teams** sourcing professional sellers (`owner_type: pro`) by category and region.

***

### Notes

- Pass a `category` with `searchQuery` to scope broad keywords (e.g. cars vs. real estate).
- `attributes` are returned as JSON so category-specific fields (mileage, size, etc.) stay structured.

# Actor input Schema

## `sp_intended_usage` (type: `string`):

What will this data feed? E.g. lead lists, KYB checks, price tracking.

## `sp_improvement_suggestions` (type: `string`):

Provide any feedback or suggestions for improvements.

## `sp_contact` (type: `string`):

We'll personally help with your use case. No spam.

## `startUrls` (type: `array`):

Leboncoin category or search URLs to scrape. If omitted, uses the default search query.

## `searchQuery` (type: `string`):

Keyword to search on leboncoin.fr. Ignored if startUrls is provided.

## `category` (type: `string`):

Leboncoin category ID (numeric) or category slug. Used when building a search URL from searchQuery.

## `maxItems` (type: `integer`):

Maximum number of classified ads to scrape

## Actor input object example

```json
{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "searchQuery": "ordinateur portable",
  "maxItems": 10
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "searchQuery": "ordinateur portable",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/leboncoin-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "searchQuery": "ordinateur portable",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/leboncoin-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 '{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "searchQuery": "ordinateur portable",
  "maxItems": 10
}' |
apify call jungle_synthesizer/leboncoin-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=jungle_synthesizer/leboncoin-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/kG1XCfnumH0R9YjAV/builds/LzMxrVkiiFkAy9cwk/openapi.json