# Shine Jobs Scraper 🌐💼🇮🇳 - Cheap सस्ता (`scrapestorm/shine-jobs-scraper-cheap-sstaa`) Actor Easily collect job listings from Shine.com, one of India’s leading job portals 🇮🇳 Extract structured job data including job titles, company names, locations, experience requirements, dates & more Perfect for job aggregation platforms, recruitment agencies & Indian job market intelligence 💼✨ - **URL**: https://apify.com/scrapestorm/shine-jobs-scraper-cheap-sstaa.md - **Developed by:** [Storm\_Scraper](https://apify.com/scrapestorm) (community) - **Categories:** Jobs, Lead generation, Integrations - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing $19.89/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 Scraper ### Shine.com नौकरी स्क्रेपर – Affordable & Reliable Easily collect **job listings from Shine.com**, one of **India’s largest job portals** 🇮🇳. इस स्क्रेपर की मदद से आप **Shine.com से नौकरी की लिस्टिंग आसानी से इकट्ठा** कर सकते हैं — **बिना किसी कोडिंग के**। This **Apify actor** extracts structured, analysis-ready job data directly from Shine.com search results. Perfect for **recruiters, job aggregators, HR agencies, market researchers, lead generation, and hiring analytics**. --- ### 🔍 What This Scraper Does ### यह स्क्रेपर क्या करता है Simply enter a keyword and optional filters — the actor handles everything automatically: बस एक keyword और वैकल्पिक फ़िल्टर डालें — बाकी सब कुछ अपने-आप हो जाएगा। ✅ Scrapes job listings from Shine.com ✅ Keyword-based job search (software, data analyst, sales, marketing, etc.) ✅ Location-based filtering (Delhi, Mumbai, Bangalore, Pune, All India) ✅ Sort by **Freshness** or **Relevance** ✅ Automatic pagination handling ✅ Extracts company name, experience, skills, hiring status, posting date, and more ✅ Limits results to a defined maximum ✅ Clean, structured output for analysis --- ### 📦 Extracted Data Fields ### निकाले गए डेटा फ़ील्ड #### 🔹 Job Overview / नौकरी का अवलोकन | Field | Description | |------|------------| | `jobId` | Unique Job ID | | `jobTitle` | Job title | | `companyName` | Company name | | `location` | Job location | | `experience` | Experience required | | `hiringStatus` | Hiring status | | `jobUrl` | Job apply link | --- #### 🔹 Detailed Job Information #### विस्तृत नौकरी जानकारी | Field | Description | |------|------------| | `jobId` | Job ID | | `jobTitle` | Position title | | `companyName` | Employer name | | `location` | Job location | | `experience` | Required experience | | `skills` | Required skills | | `postedDate` | Job posted date | | `hiringStatus` | Hiring status | | `jobDescription` | Full job description | | `jobUrl` | Apply link | --- ### 🛠 How to Use the Scraper ### स्क्रेपर का उपयोग कैसे करें 1️⃣ Deploy the actor on **Apify** 2️⃣ Enter a job keyword (e.g., *software engineer*, *data analyst*) 3️⃣ (Optional) Enter a job location 4️⃣ Choose sorting: Freshness or Relevance 5️⃣ Set the maximum number of jobs to scrape 6️⃣ Run the actor 7️⃣ Export the dataset --- ### 📤 Supported Export Formats ### समर्थित एक्सपोर्ट फ़ॉर्मेट ✅ JSON ✅ CSV ✅ Excel (XLSX) ✅ XML ✅ HTML --- ### 📊 Built-in Dataset Views ### इनबिल्ट डेटा व्यूज़ 📋 **Overview / अवलोकन** Quick list of job titles, companies, locations, and links 🔍 **Detailed Job Information / विस्तृत नौकरी जानकारी** Full job descriptions, skills, experience & hiring status 🧠 **Skills & Requirements / कौशल और आवश्यकताएं** Skills demand analysis across roles and locations 🔥 **Actively Hiring Jobs / सक्रिय भर्ती वाली नौकरियां** Jobs marked as actively hiring 🏢 **Companies Hiring / भर्ती करने वाली कंपनियां** Companies, roles, skills & experience requirements 🕒 **Recent Job Posts / हाल की नौकरी पोस्ट** Newly posted jobs sorted by date --- ### 💡 Use Cases ### उपयोग के मामले 💼 Job Aggregation Platforms 📊 Indian Job Market Analysis 🎯 Recruitment & Talent Sourcing 📈 Hiring Trends & Skill Demand Analysis 🤖 AI / NLP Training Data 🏢 Company Hiring Intelligence --- ### 💸 Pricing This scraper operates on a monthly subscription model — you only pay for successful results. 💳 Price: $19.89 / month --- ### Related Actors If you're interested in other Jobs, Company Leads, YouTube or Facebook scraping solutions, check out these related tools: - 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[Storm_Scraper 🌪️🌩️](https://apify.com/scrapestorm) # Actor input Schema ## `keywords` (type: `array`): List of keywords to search for jobs (e.g., 'software', 'data analyst', 'marketing') / नौकरी खोजने के लिए कीवर्ड की सूची ## `location` (type: `string`): Job location applied to all keywords - leave empty for All India (e.g., 'New Delhi', 'Mumbai', 'Bangalore', 'Pune') / नौकरी का स्थान - सभी भारत के लिए खाली छोड़ दें ## `sort_by` (type: `string`): Sort job results by Freshness (newest first) or Relevance / नवीनतम (freshness) या प्रासंगिकता (relevance) के आधार पर नौकरियों को क्रमबद्ध करें ## `maxItemsPerKeyword` (type: `integer`): Limits how many job listings will be scraped per keyword from Shine.com / प्रति कीवर्ड कितनी नौकरी लिस्टिंग स्क्रैप की जाएंगी ## Actor input object example ```json { "keywords": [ "software", "data analyst" ], "location": "", "sort_by": "freshness", "maxItemsPerKeyword": 50 } ```` # 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 = { "keywords": [ "software", "data analyst" ], "location": "", "sort_by": "freshness", "maxItemsPerKeyword": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("scrapestorm/shine-jobs-scraper-cheap-sstaa").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", "data analyst", ], "location": "", "sort_by": "freshness", "maxItemsPerKeyword": 50, } # Run the Actor and wait for it to finish run = client.actor("scrapestorm/shine-jobs-scraper-cheap-sstaa").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", "data analyst" ], "location": "", "sort_by": "freshness", "maxItemsPerKeyword": 50 }' | apify call scrapestorm/shine-jobs-scraper-cheap-sstaa --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapestorm/shine-jobs-scraper-cheap-sstaa", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shine Jobs Scraper 🌐💼🇮🇳 - Cheap सस्ता", "description": "Easily collect job listings from Shine.com, one of India’s leading job portals 🇮🇳\n\nExtract structured job data including job titles, company names, locations, experience requirements, dates & more\n\nPerfect for job aggregation platforms, recruitment agencies & Indian job market intelligence 💼✨", "version": "0.0", "x-build-id": "45TUIjW7gJ5w6WQf5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapestorm~shine-jobs-scraper-cheap-sstaa/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapestorm-shine-jobs-scraper-cheap-sstaa", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapestorm~shine-jobs-scraper-cheap-sstaa/runs": { "post": { "operationId": "runs-sync-scrapestorm-shine-jobs-scraper-cheap-sstaa", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapestorm~shine-jobs-scraper-cheap-sstaa/run-sync": { "post": { "operationId": "run-sync-scrapestorm-shine-jobs-scraper-cheap-sstaa", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Search Keywords / खोज कीवर्ड 🔍", "type": "array", "description": "List of keywords to search for jobs (e.g., 'software', 'data analyst', 'marketing') / नौकरी खोजने के लिए कीवर्ड की सूची", "items": { "type": "string" } }, "location": { "title": "Location / स्थान 📍", "type": "string", "description": "Job location applied to all keywords - leave empty for All India (e.g., 'New Delhi', 'Mumbai', 'Bangalore', 'Pune') / नौकरी का स्थान - सभी भारत के लिए खाली छोड़ दें", "default": "" }, "sort_by": { "title": "Sort By / क्रमबद्ध करें 🔀", "enum": [ "freshness", "relevance" ], "type": "string", "description": "Sort job results by Freshness (newest first) or Relevance / नवीनतम (freshness) या प्रासंगिकता (relevance) के आधार पर नौकरियों को क्रमबद्ध करें", "default": "freshness" }, "maxItemsPerKeyword": { "title": "Maximum jobs per keyword / प्रति कीवर्ड अधिकतम नौकरियां 🔢", "type": "integer", "description": "Limits how many job listings will be scraped per keyword from Shine.com / प्रति कीवर्ड कितनी नौकरी लिस्टिंग स्क्रैप की जाएंगी", "default": 50 } } }, "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 } } } } } } } } } } ```