# Foundit Jobs Scraper (`jobscrawler/foundit-jobs-scraper`) Actor Collect employment listings from Foundit.in (formerly Monster India) with comprehensive job details. - **URL**: https://apify.com/jobscrawler/foundit-jobs-scraper.md - **Developed by:** [Jobs Scraper](https://apify.com/jobscrawler) (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 from $3.99 / 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 ## Foundit Jobs Scraper ### Overview Pull detailed employment data from Foundit.in (formerly Monster India), a prominent Indian job search platform connecting millions of job seekers with employers. This actor queries the Foundit.in middleware API directly, ensuring lightweight, high-performance, and reliable data extraction without the overhead of heavy browser automation. ### Features - Direct integration with the Foundit.in middleware API for high-speed scraping - Comprehensive company and employer information - Salary and CTC package data in Indian Rupees - Skills-based matching and filtering support - Proxy rotation with automatic fallback (residential → datacenter) - Automatic retry on failures with exponential backoff - Deduplication of results by compound key (url, title, experience, requirements) - Dataset validation with auto-fix capability ### Supported Inputs | Field | Type | Default | Description | |-------|------|---------|-------------| | `keyword` | string | `"software engineer"` | Search terms for job discovery | | `location` | string | `"India"` | Geographic filter for results | | `country` | string | `"IN"` | Country code for proxy routing | | `maxItems` | integer | `50` | Upper limit on extracted listings | | `proxyEnabled` | boolean | `true` | Toggle proxy rotation on/off | | `sortBy` | string | `"relevance"` | Result ordering (relevance/date/salary) | | `jobType` | string | `""` | Employment type filter | | `experienceLevel` | string | `""` | Seniority level filter | | `datePosted` | string | `""` | Recency filter (24h/3d/7d/14d/30d) | | `remoteOnly` | boolean | `false` | Restrict to remote positions only | | `includeCompanyDetails` | boolean | `true` | Fetch extra company information | | `includeSalary` | boolean | `true` | Include compensation data | ### Output Format Each scraped listing produces a JSON object with these fields: ```json { "jobTitle": "Senior Software Engineer", "companyName": "Mphasis", "location": "Bengaluru, India", "salary": "5-7 LPA", "jobType": "Full time", "experienceLevel": "1-3 Years", "postedDate": "4 hours ago", "applyUrl": "https://mphasis.ripplehire.com/candidate/?token=ty4DfyWddnOrtpclQeia&source=CAREERSITE#detail/job/868349", "companyUrl": "https://www.foundit.in/search/mphasis-488098-jobs-career", "description": "Mphasis Limited is an Indian multinational information technology services and consulting company based in Bangalore.The company provides infrastructure technology and applications outsourcing services, as well as architecture guidance, application development and integration, and application management services. It serves financial services, telecom, logistics, and technology industries. Mphasis was ranked #7 in India IT companies and overall #189 by Fortune India 500 in 2019. In April 2016, Hewlett Packard Enterprise sold the majority of its stake in Mphasis to Blackstone Group LP for around US$1 billion.", "requirements": [ "Fast API", "GitHub Actions", "CI CD tools", "containerization", "performance optimization", "Algorithms", "S3", "RDS", "Microservices", "Sql", "Nosql", "Lambda", "Cloudwatch", "Docker", "Sqs", "Sns", "data structures", "Asynchronous programming", "Kubernetes", "Python", "Api Gateway", "AWS" ], "benefits": [], "sourcePortal": "foundit", "country": "IN", "scrapedAt": "2026-06-27T08:32:11.912Z" } ```` ### Proxy Handling A robust proxy pipeline handles connection failures transparently. 1. **Apify Residential Proxy** (country-targeted) — First choice for foundit 2. **Apify Residential Proxy** (any region) — Fallback if country proxy unavailable 3. **Apify Datacenter Proxy** — Secondary fallback for cost efficiency 4. **Direct Connection** — Last resort when all proxies fail Proxies auto-rotate on each request. Blocked sessions are discarded and replaced automatically. ### Retry Logic Automatic recovery from failures with progressive retry intervals. - Maximum 5 retries per request - Fresh HTTP session and fingerprint generation on each retry - Automatic proxy rotation between attempts - Blocked status codes (401, 403, 429) trigger session refresh - Configurable request timeout (30 seconds) ### Anti-block Handling Comprehensive stealth configuration keeping requests under anti-bot radar. - Powered by `got-scraping` to mock TLS/TCP and HTTP headers automatically - Human-like headers setup matching real browser signatures - Session pool with automatic rotation on blocks - Rate limit detection (HTTP 429) with backoff ### Sample Input ```json { "keyword": "data analyst", "location": "India", "maxItems": 25, "proxyEnabled": true, "sortBy": "date", "remoteOnly": false } ``` ### Sample Output ```json { "jobTitle": "AI Software Engineer", "companyName": "S&P Global Market Intelligence", "location": "India", "salary": "0-0 INR", "jobType": "Full time", "experienceLevel": "2-6 Years", "postedDate": "13 hours ago", "applyUrl": "https://careers.spglobal.com/jobs/323823?lang=en-us", "companyUrl": "https://www.foundit.in/search/sp-global-market-intelligence-502334-jobs-career", "description": "S&P Global Inc. (prior to April 2016 McGraw Hill Financial, Inc., and prior to 2013 The McGraw&#8211&#x3B;Hill Companies, Inc.) is an American publicly traded corporation headquartered in Manhattan, New York City. Its primary areas of business are financial information and analytics. It is the parent company of S&P Global Ratings, S&P Global Market Intelligence, S&P Global Mobility, S&P Global Engineering Solutions, S&P Global Sustainable1, and S&P Global Commodity Insights, CRISIL, and is the majority owner of the S&P Dow Jones Indices joint venture. "S&P" is a shortening of "Standard and Poor's", "requirements": [ "LLM GenAI fundamentals", "observability tools", "OpenTelemetry", "dbt", "Elk", "Prometheus", "Grafana", "Sql", "Pandas", "Gcp", "Spark", "Azure", "Python", "AWS" ], "benefits": [], "sourcePortal": "foundit", "country": "IN", "scrapedAt": "2026-06-27T08:32:11.907Z" } ``` ### Usage #### Local Development ```bash ## Install dependencies npm install ## Set Apify token (required for proxy) export APIFY_TOKEN=your_token_here ## Run the actor npm start ## Validate scraped data node dataset-validator.js ``` #### Apify Platform ```bash ## Login to Apify apify login ## Push actor to platform apify push ## Run from Apify Console or API ``` ### Deployment 1. Ensure all dependencies are installed: `npm install` 2. Authenticate with Apify: `apify login` 3. Deploy the actor: `apify push` 4. Configure input in the Apify Console 5. Schedule runs or trigger via API / webhooks ### Limitations - Results depend on the portal's internal middleware API; endpoint changes may require updates - Some job details (salary, description) may not be available for all listings - Rate limiting by the portal may reduce throughput during high-volume scrapes - API changes may require updating request headers or query parameters - Maximum items per run is capped at 1000 to prevent excessive resource usage - Proxy costs apply when using Apify residential or datacenter proxies # Actor input Schema ## `keyword` (type: `string`): Job title or keywords to search for. ## `location` (type: `string`): City, state, or region to search in. ## `country` (type: `string`): Country code or name. ## `maxItems` (type: `integer`): Maximum number of job listings to scrape. ## `proxyEnabled` (type: `boolean`): Enable proxy rotation for anti-blocking. ## `sortBy` (type: `string`): Sort order for results. ## `jobType` (type: `string`): Filter by employment type (full-time, part-time, contract, etc.). ## `experienceLevel` (type: `string`): Filter by seniority (entry, mid, senior, etc.). ## `datePosted` (type: `string`): Filter by posting recency. ## `remoteOnly` (type: `boolean`): Only return remote/work-from-home positions. ## `includeCompanyDetails` (type: `boolean`): Extract additional company information when available. ## `includeSalary` (type: `boolean`): Extract salary/compensation details when available. ## Actor input object example ```json { "keyword": "software engineer", "location": "India", "country": "IN", "maxItems": 50, "proxyEnabled": true, "sortBy": "relevance", "jobType": "", "experienceLevel": "", "datePosted": "", "remoteOnly": false, "includeCompanyDetails": true, "includeSalary": true } ``` # 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("jobscrawler/foundit-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 = {} # Run the Actor and wait for it to finish run = client.actor("jobscrawler/foundit-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 '{}' | apify call jobscrawler/foundit-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jobscrawler/foundit-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Foundit Jobs Scraper", "description": "Collect employment listings from Foundit.in (formerly Monster India) with comprehensive job details.", "version": "1.0", "x-build-id": "OOIbutont5YTWdEJZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jobscrawler~foundit-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jobscrawler-foundit-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jobscrawler~foundit-jobs-scraper/runs": { "post": { "operationId": "runs-sync-jobscrawler-foundit-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jobscrawler~foundit-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-jobscrawler-foundit-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Search Keyword", "type": "string", "description": "Job title or keywords to search for.", "default": "software engineer" }, "location": { "title": "Location", "type": "string", "description": "City, state, or region to search in.", "default": "India" }, "country": { "title": "Country", "type": "string", "description": "Country code or name.", "default": "IN" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of job listings to scrape.", "default": 50 }, "proxyEnabled": { "title": "Enable Proxy", "type": "boolean", "description": "Enable proxy rotation for anti-blocking.", "default": true }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "date", "salary" ], "type": "string", "description": "Sort order for results.", "default": "relevance" }, "jobType": { "title": "Job Type", "type": "string", "description": "Filter by employment type (full-time, part-time, contract, etc.).", "default": "" }, "experienceLevel": { "title": "Experience Level", "type": "string", "description": "Filter by seniority (entry, mid, senior, etc.).", "default": "" }, "datePosted": { "title": "Date Posted", "enum": [ "", "24h", "3d", "7d", "14d", "30d" ], "type": "string", "description": "Filter by posting recency.", "default": "" }, "remoteOnly": { "title": "Remote Only", "type": "boolean", "description": "Only return remote/work-from-home positions.", "default": false }, "includeCompanyDetails": { "title": "Include Company Details", "type": "boolean", "description": "Extract additional company information when available.", "default": true }, "includeSalary": { "title": "Include Salary", "type": "boolean", "description": "Extract salary/compensation details when available.", "default": true } } }, "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 } } } } } } } } } } ```