# YellowPages Pakistan Scraper (`ahad_jelani/yellowpages-pakistan-scraper`) Actor Get Verified formatted Leads from Yellow Pages Pakistan in seconds! Extracts company data, active phone numbers, physical locations, and websites seamlessly into Excel/JSON. Clean data, fast delivery, zero hassle. - **URL**: https://apify.com/ahad\_jelani/yellowpages-pakistan-scraper.md - **Developed by:** [Aley Jelani](https://apify.com/ahad_jelani) (community) - **Categories:** Lead generation, Automation, Agents - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## YellowPages Pakistan Scraper A high-performance, professional-grade scraper designed to extract business contact details from [YellowPages.pk](https://yellowpage.pk/). ### Why This Tool Is Unique Extracting data from directory sites is technically challenging. This scraper succeeds by utilizing a robust architecture: * **Memory Management:** Launches a fresh, clean browser for every page to prevent crashes. * **Optimized Throughput:** Blocks heavy assets (images, fonts, scripts) to focus purely on contact data. * **Data Quality:** Automatically filters out "broken" leads and performs deduplication. ### Performance This scraper is engineered for speed and resource efficiency: * **Benchmark:** Approximately 2 minutes to extract 100 leads. * **Efficiency:** Optimized network routing increases speed by over 50% compared to standard scraping methods. ### 🚀 Set It and Forget It You do not need to keep this tab open! Once you click **Start**: 1. **Save as Task:** Click the "Save as task" button in the Input tab to save your settings for future use. 2. **Log Off:** Feel free to close your browser or turn off your computer. The scraper is running on Apify’s servers. 3. **Check Back Later:** Return anytime to the **Runs** tab to download your results. ### Important Note: Search Optimization > **💡 Pro-Tip for Better Results:** > The quality of your leads depends on your search term. **Always use singular, specific terms.** > * ✅ **Use:** `doctor`, `shoe`, `pharma` > * ❌ **Avoid:** `doctors`, `shoes`, `pharmaceuticals` ### Input Configuration | Field | Type | Description | | --- | --- | --------------------------------------------------------------------------- | | keyword | String | The category or business type to search. | | max_leads | Integer| The target number of leads to extract per run. | ### Best Practices * **Batch Your Requests:** For large projects, we recommend scraping in batches of 200–500 leads to maintain optimal performance. * **Stay Informed:** If you see red error text in the logs, it usually indicates a temporary connection issue. * **System Integrity:** Please avoid editing the core code selectors unless necessary. # Actor input Schema ## `keyword` (type: `string`): Caution: For best results, try multiple keywords (e.g., 'doctor' instead of 'doctors'). ## `max_leads` (type: `integer`): The maximum number of leads you want to extract. ## Actor input object example ```json { "max_leads": 100 } ```` # Actor output Schema ## `results` (type: `string`): Direct link to the scraped 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("ahad_jelani/yellowpages-pakistan-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("ahad_jelani/yellowpages-pakistan-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 ahad_jelani/yellowpages-pakistan-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ahad_jelani/yellowpages-pakistan-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YellowPages Pakistan Scraper", "description": "Get Verified formatted Leads from Yellow Pages Pakistan in seconds! Extracts company data, active phone numbers, physical locations, and websites seamlessly into Excel/JSON. Clean data, fast delivery, zero hassle.", "version": "0.0", "x-build-id": "5z2z2H6d7T2sKHpqz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ahad_jelani~yellowpages-pakistan-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ahad_jelani-yellowpages-pakistan-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ahad_jelani~yellowpages-pakistan-scraper/runs": { "post": { "operationId": "runs-sync-ahad_jelani-yellowpages-pakistan-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ahad_jelani~yellowpages-pakistan-scraper/run-sync": { "post": { "operationId": "run-sync-ahad_jelani-yellowpages-pakistan-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword", "max_leads" ], "properties": { "keyword": { "title": "What business type are you looking for?", "type": "string", "description": "Caution: For best results, try multiple keywords (e.g., 'doctor' instead of 'doctors')." }, "max_leads": { "title": "Max Leads", "minimum": 1, "type": "integer", "description": "The maximum number of leads you want to extract.", "default": 100 } } }, "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 } } } } } } } } } } ```