# WorkIndia Jobs Scraper (`shahidirfan/workindia-jobs-scraper`) Actor Seamlessly extract postings from WorkIndia, India's premier job portal for blue and grey-collar roles. This powerful actor gathers job descriptions, skills, and employer data rapidly. Ideal for recruiters building robust datasets of the Indian job market! - **URL**: https://apify.com/shahidirfan/workindia-jobs-scraper.md - **Developed by:** [Shahid Irfan](https://apify.com/shahidirfan) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 6 total users, 4 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## WorkIndia Jobs Scraper Collect fresh job listings from WorkIndia with rich details such as salary, company, location, experience, openings, and more. Run by URL, keyword, city, or a combined filter and get clean, structured output ready for analysis. This actor is designed for fast recurring job monitoring and lead generation workflows. ### Features - **URL-first scraping** — Start from WorkIndia listing URLs or a single job detail URL. - **Keyword and city filters** — Narrow results with search terms and city targeting. - **Paginated collection** — Control depth with `results_wanted` and `max_pages`. - **Rich job fields** — Collect detailed hiring information for each job. - **Clean dataset output** — Null and empty values are removed from records. ### Use Cases #### Recruitment Intelligence Track hiring activity by city, role type, and salary trends to support recruiting strategy. #### Job Aggregation Build your own searchable jobs dataset for internal tools, dashboards, or outbound campaigns. #### Lead Generation Find active companies with open positions and prioritize outreach by role category and location. #### Market Monitoring Monitor shifts in demand across industries and experience bands over time. --- ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `url` | String | No | `https://www.workindia.in/jobs/` | WorkIndia listing URL or job detail URL. | | `keyword` | String | No | `delivery` | Optional keyword filter for job search. | | `city` | String | No | `delhi` | Optional city filter. | | `results_wanted` | Integer | No | `20` | Maximum number of records to save. | | `max_pages` | Integer | No | `10` | Maximum pages to paginate. | | `includeDetails` | Boolean | No | `true` | Enrich each listing with detailed fields. | | `proxyConfiguration` | Object | No | `{"useApifyProxy": false}` | Optional proxy settings. | --- ### Output Data Each dataset item can include: | Field | Type | Description | |-------|------|-------------| | `job_id` | Integer | Unique WorkIndia job id. | | `profile_job_title` | String | Job title. | | `branch_company_name` | String | Company name. | | `branch_location_city_name` | String | Job city. | | `branch_location_name` | String | Area/locality. | | `profile_salary_structure` | String | Salary text/range. | | `job_experience` | String | Experience requirement. | | `profile_qualification_required` | String | Qualification requirement. | | `profile_industry_display_name` | String | Job industry/category. | | `employment_type` | String | Employment type. | | `created_at` | String | Published timestamp. | | `expiry` | String | Expiry date. | | `api_detail_url` | String | Job detail source link used internally. | | `source_url` | String | Input source URL for the run. | | `collected_at` | String | Collection timestamp. | --- ### Usage Examples #### Default Jobs Feed ```json { "url": "https://www.workindia.in/jobs/", "results_wanted": 20, "max_pages": 5 } ```` #### City + Keyword Search ```json { "keyword": "delivery", "city": "delhi", "results_wanted": 50, "max_pages": 10 } ``` #### Industry URL Extraction ```json { "url": "https://www.workindia.in/delivery-jobs-in-delhi/", "results_wanted": 30, "includeDetails": true } ``` #### Single Job Detail URL ```json { "url": "https://www.workindia.in/jobs/delivery_boy-rohini-delhi-9738578/" } ``` *** ### Sample Output ```json { "job_id": 9738578, "profile_job_title": "Delivery Boy", "branch_company_name": "Blinkit", "branch_location_city_name": "delhi", "branch_location_name": "Rohini", "profile_salary_structure": "Rs. 40000 - Rs. 75000", "job_experience": "fresher", "profile_qualification_required": "Tenth Pass", "profile_industry_display_name": "Delivery", "employment_type": "FULL_TIME", "created_at": "2026-04-17T06:58:00Z", "expiry": "2026-08-13", "source_url": "https://www.workindia.in/delivery-jobs-in-delhi/", "collected_at": "2026-04-17T09:30:00.000Z" } ``` *** ### Tips For Best Results #### Start Small First - Start with `results_wanted: 20` for quick validation. - Increase limits after confirming output quality. #### Use Strong Input URLs - Prefer canonical WorkIndia listing URLs. - Use city or category URLs for tighter result relevance. #### Balance Page Depth - Use `max_pages` as a safety cap to prevent over-collection. - Tune both `results_wanted` and `max_pages` together. #### Use Proxy Only When Needed - Keep defaults for normal runs. - Enable proxy configuration if your environment requires it. *** ### Integrations Connect output with: - **Google Sheets** — Share and review job data quickly. - **Airtable** — Build a searchable hiring database. - **Make** — Automate enrichment and notifications. - **Zapier** — Trigger downstream actions from new jobs. - **Webhooks** — Send run results to your internal systems. #### Export Formats - **JSON** — Best for APIs and developers. - **CSV** — Best for spreadsheets and BI tools. - **Excel** — Best for business reporting. - **XML** — Best for legacy integrations. *** ### Frequently Asked Questions #### Can I use either keyword or URL input? Yes. You can run with URL only, keyword only, or both together. #### Does it support pagination? Yes. Pagination is controlled by `results_wanted` and `max_pages`. #### Can I scrape one specific job URL? Yes. Provide a WorkIndia job detail URL to collect one enriched record. #### Why are some optional fields missing in output? If a source record does not include a value, that empty field is removed from output. #### Can I use this for scheduled monitoring? Yes. Schedule the actor and compare datasets over time. *** ### Support For issues or feature requests, contact support through the Apify Console. #### Resources - [Apify Documentation](https://docs.apify.com/) - [Apify API Reference](https://docs.apify.com/api/v2) - [Apify Schedules](https://docs.apify.com/platform/schedules) *** ### Legal Notice This actor is designed for legitimate data collection purposes. Users are responsible for complying with website terms, applicable laws, and data-use regulations in their jurisdiction. # Actor input Schema ## `url` (type: `string`): Any WorkIndia listing URL or a job detail URL. Example: https://www.workindia.in/jobs/ or https://www.workindia.in/jobs-in-delhi/ ## `keyword` (type: `string`): Optional text keyword. Applied as a search filter. ## `city` (type: `string`): Optional city slug or city name (for example: delhi, mumbai). ## `results_wanted` (type: `integer`): Maximum number of records to save. ## `max_pages` (type: `integer`): Safety limit for pagination pages. ## `includeDetails` (type: `boolean`): If enabled, each listed job is enriched with full detail data. ## `proxyConfiguration` (type: `object`): Optional Apify proxy settings. ## Actor input object example ```json { "url": "https://www.workindia.in/jobs/", "keyword": "delivery", "city": "delhi", "results_wanted": 20, "max_pages": 10, "includeDetails": true, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "url": "https://www.workindia.in/jobs/", "keyword": "delivery", "city": "delhi", "results_wanted": 20, "max_pages": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("shahidirfan/workindia-jobs-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 = { "url": "https://www.workindia.in/jobs/", "keyword": "delivery", "city": "delhi", "results_wanted": 20, "max_pages": 10, } # Run the Actor and wait for it to finish run = client.actor("shahidirfan/workindia-jobs-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 '{ "url": "https://www.workindia.in/jobs/", "keyword": "delivery", "city": "delhi", "results_wanted": 20, "max_pages": 10 }' | apify call shahidirfan/workindia-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shahidirfan/workindia-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "WorkIndia Jobs Scraper", "description": "Seamlessly extract postings from WorkIndia, India's premier job portal for blue and grey-collar roles. This powerful actor gathers job descriptions, skills, and employer data rapidly. Ideal for recruiters building robust datasets of the Indian job market!", "version": "0.0", "x-build-id": "ayVjZpeIFL1N4s9uo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shahidirfan~workindia-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shahidirfan-workindia-jobs-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/shahidirfan~workindia-jobs-scraper/runs": { "post": { "operationId": "runs-sync-shahidirfan-workindia-jobs-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/shahidirfan~workindia-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-shahidirfan-workindia-jobs-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", "properties": { "url": { "title": "WorkIndia URL", "type": "string", "description": "Any WorkIndia listing URL or a job detail URL. Example: https://www.workindia.in/jobs/ or https://www.workindia.in/jobs-in-delhi/" }, "keyword": { "title": "Keyword", "type": "string", "description": "Optional text keyword. Applied as a search filter." }, "city": { "title": "City", "type": "string", "description": "Optional city slug or city name (for example: delhi, mumbai)." }, "results_wanted": { "title": "Results wanted", "minimum": 1, "type": "integer", "description": "Maximum number of records to save.", "default": 20 }, "max_pages": { "title": "Maximum pages", "minimum": 1, "type": "integer", "description": "Safety limit for pagination pages.", "default": 10 }, "includeDetails": { "title": "Include detailed job fields", "type": "boolean", "description": "If enabled, each listed job is enriched with full detail data.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify proxy settings.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```