# Shine.com Jobs Search Scraper (`jobsapi/shine-com-jobs-search-scraper`) Actor Scrape job listings from Shine.com — India's leading job portal. Extract job titles, companies, salaries, locations, skills, experience requirements, and descriptions. Supports keyword search with pagination. - **URL**: https://apify.com/jobsapi/shine-com-jobs-search-scraper.md - **Developed by:** [Jobs API](https://apify.com/jobsapi) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## Shine.com Jobs Search Scraper (India) Scrape job listings from [Shine.com](https://www.shine.com) — one of India's leading job portals. Extracts job titles, companies, locations, experience requirements, required skills, work mode (WFH/Hybrid/Office), job type, and posting dates. ### Features - 🔍 **Keyword search** — search by job title, role, or skills - 🎓 **Experience & skills** — years of experience and required skills extracted - 🏠 **Work mode** — Work from Home, Hybrid, or Work from Office - 📅 **Posting dates** — when each job was posted - 🏭 **Industry data** — industry sector for each listing - 📑 **Pagination** — collects up to `maxJobs` results across multiple pages ### Use Cases - **Indian job market analysis** — track hiring demand, skill preferences, and industry trends across India - **Entry-to-mid-level recruitment intelligence** — monitor job postings targeting early and mid-career professionals - **Regional hiring trend monitoring** — compare job volumes across Indian cities and regions - **Local salary data collection** — gather compensation data to benchmark Indian market rates ### How It Works Uses CheerioCrawler (no JavaScript needed — Shine.com is server-side rendered) to fetch job listings. Extracts structured JSON from Shine.com's `__NEXT_DATA__` embedded in the page HTML via the `jsrp.searchresult.data.results` path. Paginates via URL pattern (`{kw}-jobs-{N}/`). ### Sample Input ```json { "keywords": "software engineer", "maxJobs": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Sample Output ```json { "jobId": "130382617", "title": "Software Engineer - Intern", "company": "Knorr-Bremse Technology Center India Private Limited", "location": "Pune, Bengaluru", "experience": "0 to 4 Yrs", "industry": "IT Software", "skills": ["Python", "Java", "SQL", "REST APIs"], "description": "We are looking for a motivated software engineering intern...", "jobType": "Permanent", "postedDate": "2026-03-19", "expiresDate": "2026-04-19", "jobUrl": "https://www.shine.com/jobs/software-engineer-intern/130382617", "source": "Shine.com", "scrapedAt": "2026-05-17T10:00:00.000Z" } ``` ### Input | Field | Type | Default | Required | Description | |-------|------|---------|----------|-------------| | `keywords` | string | — | | Job title or keywords to search for (e.g. 'software engineer', 'data analyst', 'nurse') | | `maxJobs` | integer | `20` | | Maximum number of jobs to scrape (1–200). | | `proxyConfiguration` | object | — | | Proxy settings. Shine.com does not require proxies but they can help with rate limiting. | | `experienceLevel` | string | — | | Filter by minimum experience level: Entry Level, Mid Level, Senior Level, Executive, Director. | | `salaryMin` | integer | — | | Minimum salary filter (in INR). Only show jobs paying at least this amount. | | `salaryMax` | integer | — | | Maximum salary filter (in INR). Only show jobs paying at most this amount. | | `remoteFilter` | string | — | | Filter by work location type: Remote, Hybrid, On-site. | | `educationLevel` | string | — | | Filter by minimum education level: High School, Associate Degree, Bachelor's, Master's, Doctorate. | ### Output Fields | Field | Description | |-------|-------------| | `jobId` | Job Id | | `title` | Title | | `company` | Company | | `location` | Location | | `experience` | Experience | | `industry` | Industry | | `skills` | skills | | `description` | Description | | `jobType` | Job Type | | `postedDate` | Posted Date | | `expiresDate` | Expires Date | | `jobUrl` | Job URL | | `source` | Source | | `scrapedAt` | Scraped At | ### Notes - **Proxy**: Residential proxy is highly recommended — set `proxyConfiguration: { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }` - **Rate limits**: Keep result limits reasonable per run to avoid IP bans - **Scheduling**: Use Apify Scheduler to run this actor on a recurring basis for a consistently fresh dataset # Actor input Schema ## `keywords` (type: `string`): Job title or keywords to search for (e.g. 'software engineer', 'data analyst', 'nurse') ## `maxJobs` (type: `integer`): Maximum number of jobs to scrape (1–200). ## `proxyConfiguration` (type: `object`): Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking. ## `experienceLevel` (type: `string`): Filter by minimum experience level required for the position. ## `salaryMin` (type: `integer`): Minimum salary filter (in local currency). Only show jobs paying at least this amount. ## `salaryMax` (type: `integer`): Maximum salary filter (in local currency). Only show jobs paying at most this amount. ## `remoteFilter` (type: `string`): Filter by work location type. ## `educationLevel` (type: `string`): Filter by minimum education level required. ## Actor input object example ```json { "keywords": "software engineer", "maxJobs": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" }, "experienceLevel": "", "remoteFilter": "", "educationLevel": "" } ``` # Actor output Schema ## `dataset` (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 = { "keywords": "software engineer", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("jobsapi/shine-com-jobs-search-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 = { "keywords": "software engineer", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("jobsapi/shine-com-jobs-search-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 '{ "keywords": "software engineer", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call jobsapi/shine-com-jobs-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jobsapi/shine-com-jobs-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shine.com Jobs Search Scraper", "description": "Scrape job listings from Shine.com — India's leading job portal. Extract job titles, companies, salaries, locations, skills, experience requirements, and descriptions. Supports keyword search with pagination.", "version": "1.0", "x-build-id": "JoS5s55jGgm5wZfp4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jobsapi~shine-com-jobs-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jobsapi-shine-com-jobs-search-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/jobsapi~shine-com-jobs-search-scraper/runs": { "post": { "operationId": "runs-sync-jobsapi-shine-com-jobs-search-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/jobsapi~shine-com-jobs-search-scraper/run-sync": { "post": { "operationId": "run-sync-jobsapi-shine-com-jobs-search-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": { "keywords": { "title": "Job Keywords", "type": "string", "description": "Job title or keywords to search for (e.g. 'software engineer', 'data analyst', 'nurse')" }, "maxJobs": { "title": "Maximum Jobs", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of jobs to scrape (1–200).", "default": 20 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }, "experienceLevel": { "title": "Experience Level", "enum": [ "", "entry", "mid", "senior", "executive", "director" ], "type": "string", "description": "Filter by minimum experience level required for the position.", "default": "" }, "salaryMin": { "title": "Minimum Salary", "minimum": 0, "type": "integer", "description": "Minimum salary filter (in local currency). Only show jobs paying at least this amount." }, "salaryMax": { "title": "Maximum Salary", "minimum": 0, "type": "integer", "description": "Maximum salary filter (in local currency). Only show jobs paying at most this amount." }, "remoteFilter": { "title": "Remote / On-site / Hybrid", "enum": [ "", "remote", "hybrid", "onsite" ], "type": "string", "description": "Filter by work location type.", "default": "" }, "educationLevel": { "title": "Education Level", "enum": [ "", "high_school", "associate", "bachelor", "master", "doctorate" ], "type": "string", "description": "Filter by minimum education level required.", "default": "" } } }, "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 } } } } } } } } } } ```