# Apna Job Urls Listing (`getdataforme/apna-job-urls-listing`) Actor Apna Job Urls Listing is a web scraping tool for extracting job listings from specified URLs. It captures detailed job information, including title and salary range, offering customizable input options and high reliability.... - **URL**: https://apify.com/getdataforme/apna-job-urls-listing.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 --- ## README.md ### Apna Job Urls Listing #### Introduction Apna Job Urls Listing is a powerful web scraping tool designed to extract job listings from specified URLs. It efficiently gathers detailed information about job opportunities, making it invaluable for recruiters and job seekers alike. #### Features - **Comprehensive Data Extraction**: Captures essential job details including title, salary range, and organization name. - **Flexible Configuration**: Allows customization of input URLs and item limits to suit specific needs. - **High Reliability**: Ensures data quality with consistent scraping results. - **User-Friendly Interface**: Easy setup and execution through the Apify Store. - **Scalable Performance**: Handles multiple requests efficiently, suitable for large-scale data collection. #### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------| | Urls | array | Yes | The URLs for the spider to scrape. | `["https://apna.co/jobs?location_id=0&..."]` | | 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://apna.co/jobs?location_id=0&location_identifier=651d470183cff884b7404dc4&location_type=NBCluster&location_name=Delhi-NCR&search=true&text=accountant&min_experience=0&raw_text_correction=true&session_id=search_1782192717392_7xq2moh" ], "item_limit": 10 } ```` ##### Output JSON ```json [ { "job_title": "Accountant", "image": null, "organization_name": "Garg Goyal & Associates", "address": "Sachdeva Corporate Tower, Halar Road, near by Ici Bank, Sector 8, Rohini, Delhi, India", "salary_range": "\u20b93,000 - \u20b910,000", "currency": "INR (\u20b9)", "work_from": "Work from Office", "time_duration": "Full Time", "experience": "Any experience", "english_requirements": "Basic English", "is_urgently_hiring": false, "source_api_url": "https://production.apna.co/user-profile-orchestrator/public/v1/jobs/?location_id=0&...", "actor_id": "2ON0IEe2tR2apicKJ", "run_id": "FLcCCKqV15wXh6Xfy" }, { "job_title": "Accountant", "image": null, "organization_name": "Goel Brothers", "address": "A-2/133 Sector 3 Rohini", "salary_range": "\u20b910,000 - \u20b910,000", "currency": "INR (\u20b9)", "work_from": "Work from Office", "time_duration": "Full Time", "experience": "Any experience", "english_requirements": "Basic English", "is_urgently_hiring": false, "source_api_url": "https://production.apna.co/user-profile-orchestrator/public/v1/jobs/?location_id=0&...", "actor_id": "2ON0IEe2tR2apicKJ", "run_id": "FLcCCKqV15wXh6Xfy" }, { "job_title": "Accountant", "image": null, "organization_name": "A.T. Overseas", "address": "AT Overseas, Dhumaspur Road, near Jai Balaji Maharaj Farm, Badshahpur, Sector 67, Gurugram, Haryana, India", "salary_range": "\u20b922,000 - \u20b925,000", "currency": "INR (\u20b9)", "work_from": "Work from Office", "time_duration": "Full Time", "experience": "Any experience", "english_requirements": "Good (Intermediate / Advanced) English", "is_urgently_hiring": false, "source_api_url": "https://production.apna.co/user-profile-orchestrator/public/v1/jobs/?location_id=0&...", "actor_id": "2ON0IEe2tR2apicKJ", "run_id": "FLcCCKqV15wXh6Xfy" } ] ``` #### Use Cases - **Market Research and Analysis**: Gather job market trends to inform strategic decisions. - **Competitive Intelligence**: Monitor competitor job postings for insights into hiring strategies. - **Price Monitoring**: Track salary ranges across different sectors. - **Content Aggregation**: Compile job listings for newsletters or job boards. - **Academic Research**: Analyze employment data for research projects. - **Business Automation**: Automate recruitment processes by integrating with HR systems. #### Installation and Usage 1. Search for "Apna Job Urls Listing" 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 job listings, each containing: - `job_title`: Title of the job position. - `image`: URL or null if no image is available. - `organization_name`: Name of the hiring organization. - `address`: Location details of the organization. - `salary_range`: Salary offered for the position. - `currency`: Currency type used in salary range. - `work_from`: Work location preference (e.g., Office, Remote). - `time_duration`: Type of employment (e.g., Full Time, Part Time). - `experience`: Required experience level. - `english_requirements`: English proficiency needed. - `is_urgently_hiring`: Boolean indicating urgent hiring status. - `source_api_url`: Original URL from which the job was scraped. - `actor_id`: Unique identifier for the actor run. - `run_id`: Unique identifier for the specific run. #### Error Handling The Actor is designed to handle common errors such as invalid URLs or network issues gracefully. If an error occurs, it will log detailed information in the Apify console, allowing you to diagnose and resolve issues efficiently. #### Rate Limiting and Best Practices To ensure optimal performance and avoid being blocked by target websites: - Respect `robots.txt` directives. - Implement delays between requests if necessary. - Monitor logs for any rate-limiting warnings or errors. #### Limitations and Considerations - The Actor requires valid URLs to function correctly. Ensure all provided URLs are accessible. - Performance may vary based on the complexity of the target website's structure. - Customization options are limited to input parameters; advanced configurations require direct code modifications. ### 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. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Urls": [ "https://apna.co/jobs?location_id=0&location_identifier=651d470183cff884b7404dc4&location_type=NBCluster&location_name=Delhi-NCR&search=true&text=accountant&min_experience=0&raw_text_correction=true&session_id=search_1782192717392_7xq2moh" ], "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/apna-job-urls-listing").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/apna-job-urls-listing").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/apna-job-urls-listing --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/apna-job-urls-listing", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apna Job Urls Listing", "description": "Apna Job Urls Listing is a web scraping tool for extracting job listings from specified URLs. It captures detailed job information, including title and salary range, offering customizable input options and high reliability....", "version": "0.0", "x-build-id": "eqja3oK0nHyIIh84G" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~apna-job-urls-listing/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-apna-job-urls-listing", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~apna-job-urls-listing/runs": { "post": { "operationId": "runs-sync-getdataforme-apna-job-urls-listing", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~apna-job-urls-listing/run-sync": { "post": { "operationId": "run-sync-getdataforme-apna-job-urls-listing", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://apna.co/jobs?location_id=0&location_identifier=651d470183cff884b7404dc4&location_type=NBCluster&location_name=Delhi-NCR&search=true&text=accountant&min_experience=0&raw_text_correction=true&session_id=search_1782192717392_7xq2moh" ], "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 } } } } } } } } } } ```