# Avito Vehicles Scraper (`profound_insulator/avito-vehicles-scraper`) Actor Fast and reliable Apify Actor to extract real-time vehicle listings from Avito.ma. Scrapes title, clean price, listing links, images, and timestamps. Perfect for lead generation and market analysis in Morocco. - **URL**: https://apify.com/profound\_insulator/avito-vehicles-scraper.md - **Developed by:** [Moufid Zakaria](https://apify.com/profound_insulator) (community) - **Categories:** E-commerce, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 57.1% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.40 / 1,000 scraped vehicle listings This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 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 ## Avito Vehicles Scraper 🚗🇲🇦 Fast, reliable, and scalable Apify Actor designed to extract real-time vehicle listings from **Avito.ma**, the leading marketplace in Morocco. Perfectly optimized for car dealers, market researchers, and lead generation experts looking for automotive data in Morocco. --- ### ✨ Features - **Full Vehicle Data Extraction:** Extracts titles, clean pricing, listing links, images, and accurate timestamps. - **Auto-Cleaning Fields:** Automatically strips out web icons (`ClockOutline Icon`, `HeartOutline Icon`, etc.) to give you clean, ready-to-use data. - **Smart Pagination:** Supports multi-page scraping with custom start and end pages. - **Highly Optimized & Cost-Effective:** Built using Crawlee and Playwright, ensuring high speed with minimal resource consumption. --- ### 📊 Extracted Data Structure The Actor saves all crawled listings into a dataset (JSON, CSV, Excel). Each item contains clean fields like this: ```json { "title": "Audi A3 (Voitures d'occasion)", "price": "199,000 DH", "monthly_payment": "4,127 DH / mois", "link": "[https://www.avito.ma/fr/sbata/voitures_d_occasion/Audi_A3_57752907.htm](https://www.avito.ma/fr/sbata/voitures_d_occasion/Audi_A3_57752907.htm)", "image": "[https://content.avito.ma/stores/3e/3e76592a-86b4-47f3-a150-916e3120cdad.jpg](https://content.avito.ma/stores/3e/3e76592a-86b4-47f3-a150-916e3120cdad.jpg)", "scrapedAt": "2026-05-26T09:17:26.897Z" } # Actor input Schema ## `maxPages` (type: `integer`): Number of pages to scrape from Avito ## `headless` (type: `boolean`): Run browser in headless mode (true = no UI) ## Actor input object example ```json { "maxPages": 22, "headless": true } ```` # Actor output Schema ## `title` (type: `string`): The title of the vehicle listing on Avito. ## `price` (type: `string`): The price of the vehicle (e.g., 199 000 DH). ## `image` (type: `string`): The direct URL of the main listing image. ## `link` (type: `string`): The full direct link to the Avito listing page. ## `scrapedAt` (type: `string`): The date and time when this data was extracted. # 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("profound_insulator/avito-vehicles-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("profound_insulator/avito-vehicles-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 profound_insulator/avito-vehicles-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=profound_insulator/avito-vehicles-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Avito Vehicles Scraper", "description": "Fast and reliable Apify Actor to extract real-time vehicle listings from Avito.ma. Scrapes title, clean price, listing links, images, and timestamps. Perfect for lead generation and market analysis in Morocco.", "version": "1.0", "x-build-id": "0XVqZKMnc1v0PGaJO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/profound_insulator~avito-vehicles-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-profound_insulator-avito-vehicles-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/profound_insulator~avito-vehicles-scraper/runs": { "post": { "operationId": "runs-sync-profound_insulator-avito-vehicles-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/profound_insulator~avito-vehicles-scraper/run-sync": { "post": { "operationId": "run-sync-profound_insulator-avito-vehicles-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of pages to scrape from Avito", "default": 22 }, "headless": { "title": "Headless Mode", "type": "boolean", "description": "Run browser in headless mode (true = no UI)", "default": true } } }, "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 } } } } } } } } } } ```