# Australia Business Scraper (`proscraper/australia-business-scraper`) Actor Scrapes Australian businesses from any city, zip code, keywords and categories. Input locations and keywords, and the scraper will create all possible combinations and start the scrape. Monthly payment, so you can use this scraper for bulk scraping at low cost. - **URL**: https://apify.com/proscraper/australia-business-scraper.md - **Developed by:** [Owais Nazir](https://apify.com/proscraper) (community) - **Categories:** Lead generation, Developer tools - **Stats:** 10 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $50.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Australian Business Scraper - Ultimate Tool for Scraping High Quality and Active Australian Businesses ## Australian Business Scraper is a highly efficient tool for generating business leads from Australia. You can scrape business contact data for hundreds of thousands of Australian businesses data with single click at a very affordable and flexible pricing structure. ---- ### Features - Speed: Provides the results in shortest possible time. - East to setup: Has just two filters, so very easy to get started - Accuracy: Gets through different sources to get you the most accurate results for Australian businesses - Adjustable filters: You can specify locations and categories. - Low cost: Affordable monthly pricing. - Comprehensive output: Provides you with all the business details for any business, includoing address, geocoordinates and contact information. ------------------------------------ ### How to Use - **Setup up Inputs:** Specify locations, i.e. postcodes, city or metro areas, and categories. - **Run:** That's it! - **Export:** Get the results ------- ### Input Parameters | Parameter | Type | Description | Examples | | ------------- |:-------------:|:-------------:|:-------------:| | ``locations`` | Array | List of locations. Can be post codes, city names or even states | ``['2009','sydney']`` | | ``categories`` | Array | List of categories or keywords | ``['carpenters','builders']`` | ------ ### Output Examples | Field | Description | | ------------- |:-------------:| | ``url`` | URL from where the business details were acquired | | ``name`` | Business name | | ``category`` | Category of the business | | ``address`` | This will be a nested object containing address details like `address`, `city`, `state`, `postcode`, `latitude` and `longitude` | | ``contact`` | A nested object containing `website`, `email` and `phone` | ---- ### Sample Output (JSON Format) ```` { "url": "sample url", "name": "Saple Carpenters", "category": "Carpenters & Joiners", "address": { "address": "Sample Rd", "city": "Welshpool", "state": "WA", "postcode": "6106", "latitude": "-31.7564", "longitude": "115.7756454" }, "contact": { "website": "http://www.samplecarpentry.com", "email": "sample@carpenters.com", "phone": "sample" } } ```` --- ### How much would this cost? Fixed price of 50$ per month. Rest would be the small platform charges by Apify. They would depend on workload. There is also free 2-hour trial to test out the scraper before purchase. # Actor input Schema ## `categories` (type: `array`): List of categories or keywords ## `locations` (type: `array`): List of locations. Can either be city names or post codes. ## Actor input object example ```json { "categories": [ "carpenters" ], "locations": [ "hobart" ] } ```` # 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 = { "categories": [ "carpenters" ], "locations": [ "hobart" ] }; // Run the Actor and wait for it to finish const run = await client.actor("proscraper/australia-business-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 = { "categories": ["carpenters"], "locations": ["hobart"], } # Run the Actor and wait for it to finish run = client.actor("proscraper/australia-business-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 '{ "categories": [ "carpenters" ], "locations": [ "hobart" ] }' | apify call proscraper/australia-business-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=proscraper/australia-business-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Australia Business Scraper", "description": "Scrapes Australian businesses from any city, zip code, keywords and categories. Input locations and keywords, and the scraper will create all possible combinations and start the scrape.\nMonthly payment, so you can use this scraper for bulk scraping at low cost.", "version": "0.1", "x-build-id": "0M68QhdvESM7csxcE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/proscraper~australia-business-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-proscraper-australia-business-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/proscraper~australia-business-scraper/runs": { "post": { "operationId": "runs-sync-proscraper-australia-business-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/proscraper~australia-business-scraper/run-sync": { "post": { "operationId": "run-sync-proscraper-australia-business-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", "required": [ "categories", "locations" ], "properties": { "categories": { "title": "Categories", "type": "array", "description": "List of categories or keywords", "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "List of locations. Can either be city names or post codes.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```