Leboncoin Similar Listings — Annonces Similaires for Any Ad
Send a Leboncoin ad ID or URL and this source returns the annonces similaires Leboncoin recommends for it, one record per ad, in the same shape as a full ad: title, description, price, category attributes, images, location and seller.
{
"session_id": "11111111-1111-1111-1111-111111111111",
"kind": "leboncoin_listings_similar",
"listing": "3188662248",
"max_items": 2,
"start_page": 1,
"human": "# leboncoin similar listings\n\n- **Listing:** 3188662248\n- **Max items:** 2\n- **Starting page:** 1\n- **Records returned:** 2\n- **Proxy traffic:** 13.5 KB",
"machine": {
"total_items": 2,
"items": [
{
"@type": "LeboncoinListing",
"id": "2998491796",
"url": "https://www.leboncoin.fr/ad/ordinateurs/2998491796",
"name": "MACBOOK AIR M2 2023/16Go/512Go/13P",
"description": "💻 MacBook air 13” M2 – 16Go RAM / 512Go SSD\n\nChez Mac Store et Cie, nous sommes spécialisés depuis plus de 6 ans dans les produits Apple d’occasion haut de gamme. Tous nos appareils sont en excellent",
"price": 890,
"currency": "EUR",
"category_id": "15",
"category": "Ordinateurs",
"ad_type": "offer",
"status": "active",
"created_at": 1789678151,
"updated_at": 1789678151,
"expires_at": 1794862151,
"image": "https://img.leboncoin.fr/api/v1/lbcpb1/images/d7/7e/55/d77e55e5799bd3a5b53fa66045d0ac15796d33be.jpg?rule=ad-image",
"images": [
"https://img.leboncoin.fr/api/v1/lbcpb1/images/d7/7e/55/d77e55e5799bd3a5b53fa66045d0ac15796d33be.jpg?rule=ad-image",
"https://img.leboncoin.fr/api/v1/lbcpb1/images/57/b7/81/57b7811f55b03d3d6f94c1ad39cd76798e1a88a1.jpg?rule=ad-image"
],
"image_count": 5,
"attributes": {
"État": "Très bon état",
"Type": "Portable",
"Marque": "Apple",
"Taille d'écran": "12 à 14” (33cm à 37cm)",
"Usage": "Polyvalent",
"Durée de disponibilité des pièces détachées": "10 ans"
},
"region": "Ile-de-France",
"department": "Paris",
"city": "Paris",
"zipcode": "75011",
"lat": 48.85763,
"lng": 2.38005,
"is_urgent": false,
"is_boosted": false,
"has_phone": true,
"favorite_count": null,
"seller": {
"@type": "LeboncoinListingSeller",
"id": "44206412",
"user_id": "d2bbd79d-7712-4b18-8582-1a9c62fc9673",
"name": "Mac store & cie",
"is_pro": true,
"siren": "890529845",
"activity_sector_id": "3"
}
},
{
"@type": "LeboncoinListing",
"id": "3158878140",
"url": "https://www.leboncoin.fr/ad/ordinateurs/3158878140",
"name": "MACBOOK AIR M1 2020 /8Go/256Go SSD /13P",
"description": "💻 MacBook air 13” M1– 8Go RAM / 256Go SSD 13 pouce\nChez Mac Store et Cie, nous sommes spécialisés depuis plus de 6 ans dans les produits Apple d’occasion haut de gamme.\n\n✨ Caractéristiques\n• Processeu",
"price": 499,
"currency": "EUR",
"category_id": "15",
"category": "Ordinateurs",
"ad_type": "offer",
"status": "active",
"created_at": 1789677958,
"updated_at": 1789677958,
"expires_at": 1794861958,
"image": "https://img.leboncoin.fr/api/v1/lbcpb1/images/9f/58/01/9f58019bb0489d0f2919a53f3833d99bee9d56fb.jpg?rule=ad-image",
"images": [
"https://img.leboncoin.fr/api/v1/lbcpb1/images/9f/58/01/9f58019bb0489d0f2919a53f3833d99bee9d56fb.jpg?rule=ad-image",
"https://img.leboncoin.fr/api/v1/lbcpb1/images/5c/b4/38/5cb438d0315edca0b63a01de79fdc45e6fdabb04.jpg?rule=ad-image"
],
"image_count": 5,
"attributes": {
"État": "État neuf",
"Type": "Portable",
"Marque": "Apple",
"Taille d'écran": "12 à 14” (33cm à 37cm)",
"Usage": "Polyvalent",
"Durée de disponibilité des pièces détachées": "10 ans"
},
"region": "Ile-de-France",
"department": "Paris",
"city": "Paris",
"zipcode": "75011",
"lat": 48.86005,
"lng": 2.37601,
"is_urgent": false,
"is_boosted": false,
"has_phone": true,
"favorite_count": null,
"seller": {
"@type": "LeboncoinListingSeller",
"id": "44206412",
"user_id": "d2bbd79d-7712-4b18-8582-1a9c62fc9673",
"name": "Mac store & cie",
"is_pro": true,
"siren": "890529845",
"activity_sector_id": "3"
}
}
],
"response_bytes": 13838
},
"total_points": 2
}- You send
- A Leboncoin ad ID or listing URL
- You get back
- Similar ads with title, price, attributes, images, location and seller
- Coverage
- Similar ads shown for public Leboncoin ads.
- Price
- 1 point per returned result, up to 100 per request — $1 per 1,000
- Billed per ad actually returned, capped by max_items. An ad with no similar ads costs nothing.
Ways to get this data
Three approaches teams use today, and where each one runs into trouble.
| Approach | What it takes | Cost | Trade-off |
|---|---|---|---|
| Checking it by hand | Open the ad and scroll to the similar-ads section | Free, and slow | Fine for one ad, useless across many |
| Building a scraper | Write it, host it, and repair it when the ad page changes | Engineering time | A maintenance commitment for something that isn't your product |
| NeuralVerge | One request per ad | $1 per 1,000, misses not billed | What counts as similar is the site's choice, not yours |
What you get back
Every field in the response shown above.
| Field | Type | Description |
|---|---|---|
total_items | number | How many ads were returned in this batch (capped by max_items). |
items | array | The similar ads. |
@type | string | Record type, LeboncoinListing. |
id | string | Leboncoin ad ID. |
url | string | Direct link to the ad. |
name | string | Ad title. |
description | string | Ad description, which can be truncated. |
price | number | Asking price. |
currency | string | ISO currency code. |
category_id | string | Category ID. |
category | string | Category name, in French. |
ad_type | string | Ad type, e.g. offer. |
status | string | Ad status, e.g. active. |
created_at | number | Publication time as a Unix timestamp. |
updated_at | number | Last update time as a Unix timestamp. |
expires_at | number | Expiry time as a Unix timestamp. |
image | string | Primary image URL. |
images | array | Image URLs returned for the ad. |
image_count | number | Number of images on the ad. |
attributes | object | Category-specific attributes as label and value pairs, in French. |
region | string | Region. |
department | string | Department. |
city | string | City. |
zipcode | string | Postcode. |
lat | number | Latitude. |
lng | number | Longitude. |
is_urgent | boolean | Whether the ad carries the urgent flag. |
is_boosted | boolean | Whether the ad is boosted. |
has_phone | boolean | Whether the ad has a phone number attached. |
favorite_count | number | Favourite count, when shown. Null otherwise. |
seller | object | Seller id, user_id, name, is_pro, siren and activity_sector_id. |
How to run it
The same lookup works from the app, the API, or as a tool an agent can call mid-task.
max_items defaults to 10 and goes up to 100. Use start_page to continue past a previous request.
curl -X POST https://api.neuralverge.ai/functions/v1/run-leboncoin-listings-similar \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "listing": "3188662248", "max_items": 2 }'What teams use it for
Where this field shows up in an actual workflow.
Compare an ad's price with the similar ads Leboncoin shows for it.
Start from one reference ad and collect similar ones without writing a query.
See which sellers, professional or private, list similar goods in the same area.
Coverage, freshness and limits
What this source covers, how fresh it is, and where it stops.
Similar ads shown for public Leboncoin ads.
Read at request time.
This source returns publicly visible ad information, stamped with the ad ID it was run for and a session id you can trace. Ads can identify private individuals and locations, so handle them with your own data-protection obligations in mind.
- —The selection of similar ads is made by the site and can differ from one request to the next.
- —Descriptions can be cut short.
- —Attributes depend on the category; labels and values are in French.
- —Timestamps are Unix values and need converting.
Questions, answered
By Leboncoin. We return the set the site recommends for the ad; we don't re-rank it.
Related sources
A full Leboncoin ad by ID or URL: price, category attributes, images, location, dates and seller.
A Leboncoin professional store: name, SIREN/SIRET, sector, hours, website, address, rating, services and team.
The Leboncoin category tree with IDs, slugs, parents and subcategories, plus an optional search-filter catalogue.
Amazon, eBay, Walmart, AliExpress and Alibaba product, seller and review data.
Try leboncoin similar listings on your own data
One request format across every source in the catalog.