# Engineerhub Jobs Scraper (`crawlpilot/engineerhub-jobs-scraper`) Actor Extract tech jobs from EngineerHub.in: title, company, location, salary, skills, apply link & dates. Supports keyword/date filters. Ideal for recruiters, aggregators & job market analysis. - **URL**: https://apify.com/crawlpilot/engineerhub-jobs-scraper.md - **Developed by:** [CrawlPilot](https://apify.com/crawlpilot) (community) - **Categories:** Automation, Lead generation, Jobs - **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 ## EngineerHub Jobs Scraper Extracts job listings from EngineerHub careers pages and stores them in the default dataset. ### Inputs ```json { "url": "https://engineerhub.in/career/jobs/?search=&opportunityType=Job", "date": "2026-01-15", "fromDate": "2026-01-01", "toDate": "2026-01-31", "maxJobs": 100 } ```` ### Input Fields - `url`: EngineerHub jobs listing URL. - `date`: Optional exact date filter (`YYYY-MM-DD`). If set, it is used as both start and end date unless overridden. - `fromDate`: Optional start date filter (`YYYY-MM-DD`). - `toDate`: Optional end date filter (`YYYY-MM-DD`). - `maxJobs`: Maximum number of jobs to scrape. Free users are capped at 20 jobs per run. ### Output Fields Scraped job records are stored in the dataset. Each dataset item includes: - Full raw job fields returned by EngineerHub for each listing. - Additional normalized fields: `_id`, `title`, `company`, `companyLogo`, `location`, `mode`, `type`, `salary`, `skills`, `applyLink`, `description`, `postedAt`, `isFreshers`, `crawledAt`. ### Notes - The actor validates that `url` belongs to EngineerHub jobs pages. - Pagination is handled automatically. - Date input values must use `YYYY-MM-DD` format. # Actor input Schema ## `url` (type: `string`): EngineerHub jobs listing URL. Query params from this URL are used for job filtering. ## `fromDate` (type: `string`): Start date filter in YYYY-MM-DD format. ## `toDate` (type: `string`): End date filter in YYYY-MM-DD format. ## `maxJobs` (type: `integer`): Maximum number of jobs to store in dataset. Free users are capped at 20 jobs per run. ## `date` (type: `string`): Exact date filter in YYYY-MM-DD format. When set, applies to both fromDate and toDate unless those are provided. ## Actor input object example ```json { "url": "https://engineerhub.in/career/jobs/?search=&opportunityType=Job", "maxJobs": 100 } ``` # 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://engineerhub.in/career/jobs/?search=&opportunityType=Job" }; // Run the Actor and wait for it to finish const run = await client.actor("crawlpilot/engineerhub-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://engineerhub.in/career/jobs/?search=&opportunityType=Job" } # Run the Actor and wait for it to finish run = client.actor("crawlpilot/engineerhub-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://engineerhub.in/career/jobs/?search=&opportunityType=Job" }' | apify call crawlpilot/engineerhub-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlpilot/engineerhub-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Engineerhub Jobs Scraper", "description": "Extract tech jobs from EngineerHub.in: title, company, location, salary, skills, apply link & dates. Supports keyword/date filters. Ideal for recruiters, aggregators & job market analysis.", "version": "0.2", "x-build-id": "urIbg5Qau6fG7qABX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlpilot~engineerhub-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlpilot-engineerhub-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlpilot~engineerhub-jobs-scraper/runs": { "post": { "operationId": "runs-sync-crawlpilot-engineerhub-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlpilot~engineerhub-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-crawlpilot-engineerhub-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "url", "maxJobs" ], "properties": { "url": { "title": "EngineerHub Jobs URL", "type": "string", "description": "EngineerHub jobs listing URL. Query params from this URL are used for job filtering." }, "fromDate": { "title": "From Date", "type": "string", "description": "Start date filter in YYYY-MM-DD format." }, "toDate": { "title": "To Date", "type": "string", "description": "End date filter in YYYY-MM-DD format." }, "maxJobs": { "title": "Number Of Jobs To Scrape", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of jobs to store in dataset. Free users are capped at 20 jobs per run.", "default": 100 }, "date": { "title": "Exact Date", "type": "string", "description": "Exact date filter in YYYY-MM-DD format. When set, applies to both fromDate and toDate unless those are provided." } } }, "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 } } } } } } } } } } ```