# Autoportal Discovery Spider (`getdataforme/autoportal-discovery-spider`) Actor The Autoportal Discovery Spider efficiently extracts detailed used car listings from Autoportaal, offering insights for market analysis and competitive intelligence with customizable URL input and flexible item limits.... - **URL**: https://apify.com/getdataforme/autoportal-discovery-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results 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 --- ## Autoportal Discovery Spider ### Introduction The **Autoportal Discovery Spider** is a powerful web scraping tool designed to extract detailed information from the Autoportaal website. It efficiently gathers data on used car listings, providing valuable insights for market analysis and competitive intelligence. ### Features - **Comprehensive Data Extraction**: Captures extensive details about each listing. - **Customizable URL Input**: Allows users to specify target URLs for scraping. - **Flexible Item Limit**: Users can set a maximum number of items to scrape per run. - **High-Quality Output**: Ensures data accuracy and reliability. - **User-Friendly Interface**: Easy configuration with intuitive input parameters. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|----------|----------|-----------------------------------------------------------------------------|----------------------------------| | `Urls` | array | Yes | The URLs for the spider to scrape. | `["https://autoportaal.ee/et/kasutatud-autod?ok=1"]` | | `item_limit`| integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Urls": [ "https://autoportaal.ee/et/kasutatud-autod?ok=1" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "listing_id": "96562", "title": "Toyota RAV4", "url": "https://autoportaal.ee/et/kasutatud-autod/96562", "image": "https://img.autoportaal.ee/cache3/ui/a2_advertisement_photo/NGIzMDdmfDQzMzM1NDVfSU1HXzY5MjUuSlBH/261-174-crop/4333545.webp", "price": "3700 €", "monthly_payment": "46 €/kuus", "year": "2007", "mileage": "330 120 km", "fuel": "Diisel", "engine_power": "2.2, 100 kW", "gearbox": "Manuaal", "drive": "Nelikvedu", "body_type": "Mahtuniversaal", "location": "Järvamaa, Eesti", "seller": "karl-johannes", "condition": "Kasutatud", "extra_fuel_value": "-", "actor_id": "feeSAL07OTsl1fyod", "run_id": "dS6YHXUdsCk3TOuuA" }, { "listing_id": "96460", "title": "Chevrolet Cruze", "url": "https://autoportaal.ee/et/kasutatud-autod/96460", "image": "https://img.autoportaal.ee/cache3/ui/a2_advertisement_photo/YjNjODgyfDQzMjY5OTRfMTAwMDEzMDU5MC5qcGc/261-174-crop/4326994.webp", "price": "4900 €", "monthly_payment": "60 €/kuus", "year": "2012", "mileage": "CO₂: 174 g/km", "fuel": "Bensiin", "engine_power": "1.8, 104 kW", "gearbox": "Automaat", "drive": "Esivedu", "body_type": "Sedaan", "location": "Tallinn, Eesti", "seller": "Tarvo", "condition": "Kasutatud", "extra_fuel_value": "7.4 l/100 km", "actor_id": "feeSAL07OTsl1fyod", "run_id": "dS6YHXUdsCk3TOuuA" }, { "listing_id": "96453", "title": "MINI Cooper D Countryman", "url": "https://autoportaal.ee/et/kasutatud-autod/96453", "image": "https://img.autoportaal.ee/cache3/ui/a2_advertisement_photo/YTA4NWY4fDQzMjYyNDBfRFNDRjA0ODVfbWFnaWNzdHVkaW9fZGdtNnVzY3RyMmUucG5n/261-174-crop/4326240.webp", "price": "6899 €", "monthly_payment": "84 €/kuus", "year": "2011", "mileage": "224 000 km", "fuel": "Diisel", "engine_power": "2.0, 82 kW", "gearbox": "Automaat", "drive": "Nelikvedu", "body_type": "Universaal", "location": "Tartu, Eesti", "seller": "Kristen", "condition": "Kasutatud", "extra_fuel_value": "6 l/100 km", "actor_id": "feeSAL07OTsl1fyod", "run_id": "dS6YHXUdsCk3TOuuA" } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into used car market trends. - **Competitive Intelligence**: Monitor competitor listings and pricing strategies. - **Price Monitoring**: Track price changes over time for specific models. - **Content Aggregation**: Compile comprehensive datasets of car listings. - **Academic Research**: Support studies on automotive markets or consumer behavior. - **Business Automation**: Integrate with CRM systems for sales leads. ### Installation and Usage 1. Search for "Autoportal Discovery Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is a JSON array of objects, each representing a car listing with fields such as `listing_id`, `title`, `url`, `image`, `price`, `monthly_payment`, `year`, `mileage`, `fuel`, `engine_power`, `gearbox`, `drive`, `body_type`, `location`, `seller`, `condition`, `extra_fuel_value`, `actor_id`, and `run_id`. ### Error Handling - **Invalid URLs**: The spider will log errors for any invalid or unreachable URLs. - **Data Extraction Issues**: If data cannot be extracted, the spider logs an error with details. ### Rate Limiting and Best Practices - Ensure compliance with Autoportaal's terms of service regarding scraping. - Use a reasonable `item_limit` to avoid overloading the server. - Monitor logs for any rate limiting responses from the website. ### Limitations and Considerations - The spider is designed specifically for Autoportaal; other websites may require different configurations. - Ensure that the URLs provided are accessible and correctly formatted. - Be mindful of legal implications when scraping data from websites. # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Urls": [ "https://autoportaal.ee/et/kasutatud-autod?ok=1" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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("getdataforme/autoportal-discovery-spider").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("getdataforme/autoportal-discovery-spider").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 getdataforme/autoportal-discovery-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/autoportal-discovery-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Autoportal Discovery Spider", "description": "The Autoportal Discovery Spider efficiently extracts detailed used car listings from Autoportaal, offering insights for market analysis and competitive intelligence with customizable URL input and flexible item limits....", "version": "0.0", "x-build-id": "hK4AJjSmwri80xWPM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~autoportal-discovery-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-autoportal-discovery-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~autoportal-discovery-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-autoportal-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~autoportal-discovery-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-autoportal-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://autoportaal.ee/et/kasutatud-autod?ok=1" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```