# Zviratabazos Discovery Spider (`getdataforme/zviratabazos-discovery-spider`) Actor Zviratabazos Discovery Spider scrapes detailed animal listings from Bazos.cz, capturing titles, prices, descriptions, and images.... - **URL**: https://apify.com/getdataforme/zviratabazos-discovery-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## Zviratabazos Discovery Spider The Zviratabazos Discovery Spider is a powerful tool designed to scrape and extract detailed listings from the Bazos.cz animal section. This actor is ideal for users looking to gather comprehensive data on animal listings, including prices, descriptions, and images, for various analytical purposes. ### Features - **Comprehensive Data Extraction**: Captures detailed information from listings, including titles, prices, descriptions, and images. - **High Data Quality**: Ensures accurate and reliable data collection from specified URLs. - **Customizable Scraping**: Allows users to specify URLs and item limits for tailored data extraction. - **Proxy Support**: Utilizes Apify's residential proxies to maintain anonymity and avoid IP bans. - **Scalable Performance**: Efficiently handles large volumes of data with configurable item limits. - **User-Friendly Configuration**: Easy setup with a clear input schema and default settings. ### Input Parameters | Parameter | Type | Required | Description | Example | |---------------------|----------|----------|-----------------------------------------------------------------------------|----------------------------------| | `Urls` | Array | Yes | The URLs for the spider to scrape. | `["https://zvirata.bazos.cz/"]` | | `proxyConfiguration`| Object | No | Specifies proxy servers for scraping to hide origin. | `{ "useApifyProxy": true }` | | `itemLimit` | Integer | No | Maximum number of items to process. | `10` | ### Example Usage #### Example Input JSON ```json { "Urls": ["https://zvirata.bazos.cz/"], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }, "itemLimit": 10 } ```` #### Example Output JSON ```json [ { "listing_id": "217924531", "title": "Jezírkové ryby", "price": "V textu", "negotiable": "V textu", "location": ["Plzeň-sever", "331 44"], "date_posted": " - ", "views": "83", "top_status": "TOP", "category": "Zvířata", "description_snippet": "\nKoi 10-30 cm\nKoi Závoj\nKaras citronový \nOstroretka\nAmur \nJesen zlaty \nJesen růžový \nJesen modrý \nLin zlatý\nJeleček duhový \nCeník na jkakva.cz\n", "full_description": "Koi 10-30 cm \nKoi Závoj \nKaras citronový \nOstroretka \nAmur \nJesen zlaty \nJesen růžový \nJesen modrý \nLin zlatý \nJeleček duhový \nCeník na jkakva.cz", "thumbnail": "https://www.bazos.cz/img/1t/531/217924531.jpg?t=1776879363", "images": [ "https://www.bazos.cz/img/1t/584/217047584.jpg", "https://www.bazos.cz/img/1t/948/217741948.jpg?t=1776536194" ], "listing_url": "https://zvirata.bazos.cz/inzerat/217924531/jezirkove-ryby.php", "meta_title": "Jezírkové ryby - Plzeň-sever | Bazoš.cz", "meta_description": "Inzerát č. 217924531: Jezírkové ryby, Cena: V textu, Lokalita: Plzeň-sever. Popis: Koi 10-30 cm Koi Závoj Karas citronový Ostroretka Amur Jesen zlaty.", "actor_id": "SuWmsbgWosdWkGhmF", "run_id": "UmOUbsQ1gbUe7WpKW" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data for market trends and consumer preferences. - **Competitive Intelligence**: Monitor competitor listings and pricing strategies. - **Price Monitoring**: Track price changes and availability of specific animal listings. - **Content Aggregation**: Compile listings for content creation or aggregation platforms. - **Academic Research**: Collect data for studies on animal trade and market dynamics. - **Business Automation**: Automate data collection for business intelligence and decision-making. ### Installation and Usage ``` 1. Search for "Zviratabazos Discovery Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 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 where each object represents a listing with fields such as `listing_id`, `title`, `price`, `location`, `description_snippet`, `full_description`, `thumbnail`, `images`, and `listing_url`. These fields provide comprehensive details about each listing. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## `itemLimit` (type: `integer`): Specifies the maximum number of items to process. ## Actor input object example ```json { "Urls": [ "https://zvirata.bazos.cz/" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "itemLimit": 10 } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "itemLimit": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/zviratabazos-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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, "itemLimit": 10, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/zviratabazos-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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "itemLimit": 10 }' | apify call getdataforme/zviratabazos-discovery-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/zviratabazos-discovery-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zviratabazos Discovery Spider", "description": "Zviratabazos Discovery Spider scrapes detailed animal listings from Bazos.cz, capturing titles, prices, descriptions, and images....", "version": "0.0", "x-build-id": "ICAhHS9gB0SElg6Aq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~zviratabazos-discovery-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-zviratabazos-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~zviratabazos-discovery-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-zviratabazos-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~zviratabazos-discovery-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-zviratabazos-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://zvirata.bazos.cz/" ], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "itemLimit": { "title": "Item Limit", "type": "integer", "description": "Specifies the maximum number of items to process.", "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 } } } } } } } } } } ```