# Job Hai Job Urls Listing (`getdataforme/job-hai-job-urls-listing`) Actor Job Hai Job Urls Listing is an Apify Actor designed for efficient scraping of job listings from the JobHai website. It captures comprehensive data including job title, company name, location, salary, and more, with customizable input parameters for tailored sessions.... - **URL**: https://apify.com/getdataforme/job-hai-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 ### Job Hai Job Urls Listing #### Introduction Job Hai Job Urls Listing is an Apify Actor designed to efficiently scrape job listings from the JobHai website. It provides a streamlined way to gather detailed information about various job opportunities, enabling users to analyze and utilize this data for multiple applications. #### Features - **Comprehensive Data Extraction**: Captures essential details such as job title, company name, location, salary, experience required, and more. - **Customizable Input Parameters**: Allows users to specify URLs and set item limits for tailored scraping sessions. - **High Reliability**: Ensures data accuracy with robust parsing mechanisms. - **Scalable Performance**: Supports large-scale data extraction with adjustable settings. - **User-Friendly Interface**: Easy setup and execution through the Apify platform. #### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|----------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | Urls | array | Yes | The URLs for the spider to scrape. | `["https://www.jobhai.com/jobs-in-delhi-cty"]`| | 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://www.jobhai.com/jobs-in-delhi-cty" ], "item_limit": 10 } ```` ##### Output JSON ```json [ { "job_id": 7889437, "title": "Operation Manager", "company": "Excalibur Security", "location": "Sector 7 Dwarka, Delhi", "salary": "40,000 - 60,000 per month", "experience": "5 - 6 years Experience in Back Office / Data Entry", "qualification": "12th Pass", "job_type": "Full Time", "posted_on": "Posted a day ago", "url": "https://www.jobhai.com/back-office-data-entry-operation-manager-job-in-excalibur-security-service-sector-7-dwarka-delhi-5-to-6-years-1782887679-7889437-jid", "actor_id": "qVtpBRCgNtWtsLu3s", "run_id": "rZY9dgyEOAfrQDNYi" }, { "job_id": 7888235, "title": "Telecaller", "company": "Blumox Technologies", "location": "Nawada, Delhi", "salary": "15,000 - 80,000 per month + Incentives", "experience": "2 - 5 years Experience in Customer Support / TeleCaller", "qualification": "12th Pass", "job_type": "Full Time", "posted_on": "Posted a day ago", "url": "https://www.jobhai.com/customer-support-telecaller-telecaller-job-in-blumox-technologies-nawada-delhi-2-to-5-years-1782890608-7888235-jid", "actor_id": "qVtpBRCgNtWtsLu3s", "run_id": "rZY9dgyEOAfrQDNYi" }, { "job_id": 7892893, "title": "Personal Assistant", "company": "Rajasthan Mobiles", "location": "Karol Bagh, Delhi", "salary": "40,000 - 50,000 per month", "experience": "0 - 6 months Experience in Receptionist", "qualification": "Below 10th", "job_type": "Full Time", "posted_on": "Posted 18 hours ago", "url": "https://www.jobhai.com/receptionist-personal-assistant-job-in-rajasthan-mobiles-karol-bagh-delhi-0-to-0-years-1782910812-7892893-jid", "actor_id": "qVtpBRCgNtWtsLu3s", "run_id": "rZY9dgyEOAfrQDNYi" } ] ``` #### Use Cases - **Market Research and Analysis**: Gather job market trends to inform business strategies. - **Competitive Intelligence**: Monitor competitor hiring practices and opportunities. - **Price Monitoring**: Track salary ranges across different sectors. - **Content Aggregation**: Compile job listings for newsletters or job boards. - **Academic Research**: Analyze employment data for studies in economics or sociology. - **Business Automation**: Integrate with HR systems to streamline recruitment processes. #### Installation and Usage 1. Search for "Job Hai 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_id`: Unique identifier for the job listing. - `title`: Job title. - `company`: Company name offering the position. - `location`: Location of the job. - `salary`: Salary range or details. - `experience`: Required experience level. - `qualification`: Educational qualifications needed. - `job_type`: Type of employment (e.g., Full Time). - `posted_on`: Date and time when the job was posted. - `url`: Direct link to the job listing on JobHai. - `actor_id`: Identifier for the Actor run. - `run_id`: Unique identifier for the specific run. #### 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://www.jobhai.com/jobs-in-delhi-cty" ], "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/job-hai-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/job-hai-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/job-hai-job-urls-listing --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/job-hai-job-urls-listing", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Job Hai Job Urls Listing", "description": "Job Hai Job Urls Listing is an Apify Actor designed for efficient scraping of job listings from the JobHai website. It captures comprehensive data including job title, company name, location, salary, and more, with customizable input parameters for tailored sessions....", "version": "0.0", "x-build-id": "AefcINbj7cB5iub12" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~job-hai-job-urls-listing/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-job-hai-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~job-hai-job-urls-listing/runs": { "post": { "operationId": "runs-sync-getdataforme-job-hai-job-urls-listing", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~job-hai-job-urls-listing/run-sync": { "post": { "operationId": "run-sync-getdataforme-job-hai-job-urls-listing", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://www.jobhai.com/jobs-in-delhi-cty" ], "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 } } } } } } } } } } ```