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Leboncoin Action Automation Scraper

Pricing

$35.00/month + usage

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Leboncoin Action Automation Scraper

Leboncoin Action Automation Scraper

Developed by

SASWAVE

SASWAVE

Maintained by Community

Leboncoin action automation scraper. Allowed actions include: Send message, send offer, Get price and minimum price offer for an item. Advanced task automation scraper. Scale your actions on website leboncoin.fr . Advanced Web crawler for ecommerce website

0.0 (0)

Pricing

$35.00/month + usage

1

Total users

2

Monthly users

2

Runs succeeded

>99%

Last modified

6 days ago

You can access the Leboncoin Action Automation Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"openapi": "3.0.1",
"info": {
"version": "0.0",
"x-build-id": "Sb08AhyeocxhKaoUe"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/saswave~leboncoin-action-automation-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-saswave-leboncoin-action-automation-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
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"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
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"parameters": [
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"200": {
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},
"/acts/saswave~leboncoin-action-automation-scraper/runs": {
"post": {
"operationId": "runs-sync-saswave-leboncoin-action-automation-scraper",
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"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
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"schema": {
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"/acts/saswave~leboncoin-action-automation-scraper/run-sync": {
"post": {
"operationId": "run-sync-saswave-leboncoin-action-automation-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"
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},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"products_url"
],
"properties": {
"feature": {
"title": "Feature",
"enum": [
"message",
"min_price",
"offer"
],
"type": "string",
"description": "Select feature type",
"default": "min_price"
},
"buyer_id": {
"title": "Own Profile ID",
"type": "string",
"description": "https://www.leboncoin.fr/account/private/home > https://www.leboncoin.fr/account/profile > 'Accéder à mon profil public' get id on your url starting with https://www.leboncoin.fr/profile/ ; after that copy paste the complete id from Url"
},
"discount": {
"title": "Make an Offer with discount",
"enum": [
"0.4",
"0.35",
"0.3",
"0.25",
"0.2",
"0.15",
"0.10",
"0.05"
],
"type": "string",
"description": "Select discount amount for the offer to be sent",
"default": "0.4"
},
"message": {
"title": "Message",
"type": "string",
"description": "Provide the message to be sent"
},
"products_url": {
"title": "Product urls",
"type": "string",
"description": "1 product url per line (search url input needs to be empty or it will take priority over this variable)"
},
"min_delay": {
"title": "Minimum delay between actions",
"minimum": 2,
"type": "integer",
"description": "If 5 selected , it will be a random number each time between 5 and 5x2"
},
"list_cookies": {
"title": "Leboncoin cookie session (remove default value [] before pasting)",
"type": "array",
"description": "Provide cookie session"
},
"proxyConfiguration": {
"title": "Mandatory Residential FR Proxy configuration",
"type": "object",
"description": "The best option is usually Residential FR proxy. But you can also use your own proxies"
}
}
},
"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
}
}
}
}
}
}
}
}
}
}

Leboncoin Action Automation Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Leboncoin Action Automation Scraper from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients: