# TimesJobs.com Jobs Scraper (`unfenced-group/timesjobs-scraper`) Actor Scrape TimesJobs.com Job listings. No proxy needed, 22 fields per job: title, salary, skills, applicationCount, companyLogo & more. Keyword, location, experience, salary, industry filters. - **URL**: https://apify.com/unfenced-group/timesjobs-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Jobs, Developer tools, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $1.99 / 1,000 job listing scrapeds 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 ## TimesJobs Scraper — Native REST API, No Proxy Required > Extract job listings from **TimesJobs.com** — India's #1 job board with 40M+ candidates — via the **official mobile REST API**. No residential proxy. No browser. Structured JSON output with 22 fields per job (29 with enrichment). [![Apify Actor](https://img.shields.io/badge/Apify-Actor-00B2FF?logo=apify)](https://apify.com/unfenced-group/timesjobs-scraper) --- ### Why choose this actor? | | **This actor** | Competitors | |---|---|---| | **Proxy required** | ✅ None | ❌ Residential proxy required | | **Data source** | Native mobile REST API | HTML scraping | | **Output fields** | 22 fields (29 enriched) | ~6–8 scraped fields | | **Salary data** | Exact integers (Lakh) | Raw text string | | **Date filter** | ✅ any / last 7 days / last 30 days | ❌ Not available | | **applicationCount** | ✅ Yes | ❌ Not available via HTML | | **companyLogo** | ✅ URL included | ❌ Not available via HTML | | **Skills** | Typed array | Comma string | | **Memory** | 256 MB | 1024 MB | | **Pricing** | $1.99/1k results | Higher (proxy costs) | This actor calls `https://tjapi.timesjobs.com/` — the same endpoint used by the TimesJobs Android app (v11.4.4, reverse-engineered from `com.timesgroup.timesjobs`). No proxy required because the API accepts anonymous requests with a standard `User-Agent: timesjobs android` header. --- ### Output fields (22 per job, 29 with enrichDetails) #### Standard fields (22) | Field | Type | Description | |---|---|---| | `jobId` | string | Unique job identifier | | `title` | string | Job title | | `company` | string | Company name (hfCompany preferred) | | `companyId` | string | Company identifier | | `companyLogo` | string | Logo image URL | | `location` | string | City / region | | `experienceFrom` | integer | Min experience (years) | | `experienceTo` | integer | Max experience (years) | | `experience` | string | Formatted range e.g. `3 - 7 Yrs` | | `salaryLow` | integer | Min salary (Lakh PA) | | `salaryHigh` | integer | Max salary (Lakh PA) | | `salary` | string | Formatted e.g. `12 - 20 Lakh PA` | | `skills` | string[] | Array of required skills | | `jobFunction` | string | Functional area | | `jobType` | string | e.g. `Permanent Job, Full Time` | | `description` | string | Job description excerpt | | `postDate` | string | ISO date posted | | `expiryDate` | string | ISO expiry date | | `applicationCount` | integer | Number of applications received | | `jobUrl` | string | Direct link to job posting | | `source` | string | Listing source | | `scrapedAt` | string | ISO 8601 scrape timestamp | #### Enrichment fields (7 extra, only when `enrichDetails: true`) | Field | Type | Description | |---|---|---| | `fullDescription` | string | Complete job description from detail page | | `functionalArea` | string | Detailed functional area | | `industry` | string | Industry sector | | `role` | string | Specific role within function | | `employmentType` | string | Employment type (Full Time, Contract, etc.) | | `aboutCompany` | string | Company description | | `keySkills` | string[] | Key skills from detail page (may differ from listing skills) | --- ### Input parameters ```json { "keywords": "python developer", "location": "Bangalore", "experience": "3", "industry": "IT-Software", "jobFunction": "IT Software - Application Programming", "salaryMin": "10", "salaryMax": "30", "datePosted": "week", "maxJobs": 500, "pageSize": 10, "startPage": 1, "enrichDetails": false, "requestsPerSecond": 3 } ```` | Parameter | Type | Default | Description | |---|---|---|---| | `keywords` | string | *(required)* | Job title, skills, or role | | `location` | string | `""` | City or region. Empty = all India | | `experience` | string | `""` | Years e.g. `"3"` or `"3-7"` | | `industry` | string | `""` | Industry filter e.g. `"IT-Software"` | | `jobFunction` | string | `""` | Functional area filter | | `salaryMin` | string | `""` | Min salary (Lakh PA) | | `salaryMax` | string | `""` | Max salary (Lakh PA) | | `datePosted` | string | `"any"` | `"any"` | `"week"` (last 7 days) | `"month"` (last 30 days) | | `maxJobs` | integer | `100` | Max results (up to 10,000+) | | `pageSize` | integer | `10` | Results per API page (10–50) | | `startPage` | integer | `1` | Start from this page (for offset scraping) | | `enrichDetails` | boolean | `false` | Fetch detail page for 7 additional fields | | `requestsPerSecond` | integer | `3` | Rate limit (1–10) | *** ### Pricing **$1.99 per 1,000 job listings** - \~0.003 CU per 1,000 jobs (256 MB, pure HTTP, no browser) - No residential proxy cost - Enriched mode: ~2x CU (one extra request per job for detail page) *** ### API endpoint details (reverse-engineered) ``` Base URL: https://tjapi.timesjobs.com/ Search: POST /search/api/v1/search/jobs/list Detail: GET /job-api/api/jobs/public/{jobId} Auth: Authorization: Bearer (empty = anonymous) UA: User-Agent: timesjobs android ``` Discovered by downloading APK `com.timesgroup.timesjobs` v11.4.4 from Google Play and decompiling with jadx. Source: `com.timesgroup.retrofit.domain.ApiService` + `BuildConfig.WEBSERVICE_SERVER_BASE_URL`. *** ### Example output ```json { "jobId": "97654321", "title": "Senior Python Developer", "company": "TechCorp India Pvt Ltd", "companyLogo": "https://static.timesjobs.com/logos/techcorp.png", "location": "Bangalore", "experienceFrom": 3, "experienceTo": 7, "experience": "3 - 7 Yrs", "salaryLow": 12, "salaryHigh": 20, "salary": "12 - 20 Lakh PA", "skills": ["Python", "Django", "REST API", "PostgreSQL", "AWS"], "jobFunction": "IT Software - Application Programming", "jobType": "Permanent Job, Full Time", "description": "We are looking for an experienced Python developer...", "postDate": "2026-04-28", "expiryDate": "2026-05-28", "applicationCount": 142, "jobUrl": "https://www.timesjobs.com/job-detail/97654321-senior-python-developer.html", "source": "timesjobs", "scrapedAt": "2026-05-06T10:00:00.000Z" } ``` *** ### Changelog #### v1.1.0 - **Fixed** `datePosted` filter: now correctly filters results by last 7 or last 30 days (was ignored in v1.0.0) - **Fixed** `startPage` input now correctly starts pagination from the given page number - **Added** `pageSize` to input schema (was missing, defaulted internally to 10) - **Added** `experience`, `industry`, `jobFunction`, `salaryMin`, `salaryMax` to input schema (were accepted but not exposed in UI) - **Fixed** actor.json dataset view referenced `posted` instead of `postDate` (broken column display) - **Added** `output_schema.json` for correct Output tab rendering in Apify Console - **Removed** unused `cheerio` dependency from package.json *** ### Built by Unfenced Group Part of a portfolio of 148 Apify actors covering job boards across India, Europe, and international markets. # Actor input Schema ## `keywords` (type: `string`): Job title, skills, or keywords to search for. E.g. 'python developer', 'data scientist', 'react'. ## `location` (type: `string`): City, state, or region to filter jobs. Leave blank for all of India. ## `experience` (type: `string`): Years of experience filter. E.g. '3' for 3 years, '3-7' for a range. ## `industry` (type: `string`): Industry sector filter. E.g. 'IT-Software', 'Banking', 'Healthcare'. ## `jobFunction` (type: `string`): Functional area filter. E.g. 'IT Software - Application Programming', 'Sales'. ## `salaryMin` (type: `string`): Minimum salary in Lakh per annum. Leave blank for no minimum. ## `salaryMax` (type: `string`): Maximum salary in Lakh per annum. Leave blank for no maximum. ## `datePosted` (type: `string`): Filter jobs by how recently they were posted. ## `maxJobs` (type: `integer`): Maximum number of job listings to scrape. ## `pageSize` (type: `integer`): Number of results per API page (10–50). Higher values mean fewer requests. ## `startPage` (type: `integer`): Page number to start scraping from (for resuming or offset scraping). ## `enrichDetails` (type: `boolean`): If enabled, each job detail page is fetched for full description, industry, functional area, and employment type. Adds 7 extra fields. Costs ~2x more compute units. ## `requestsPerSecond` (type: `integer`): Rate limit. Lower values reduce the risk of temporary blocks. ## Actor input object example ```json { "keywords": "python developer", "location": "Bangalore", "experience": "3", "industry": "IT-Software", "jobFunction": "IT Software - Application Programming", "salaryMin": "10", "salaryMax": "30", "datePosted": "any", "maxJobs": 100, "pageSize": 10, "startPage": 1, "enrichDetails": false, "requestsPerSecond": 3 } ``` # 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("unfenced-group/timesjobs-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("unfenced-group/timesjobs-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 unfenced-group/timesjobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/timesjobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TimesJobs.com Jobs Scraper", "description": "Scrape TimesJobs.com Job listings. No proxy needed, 22 fields per job: title, salary, skills, applicationCount, companyLogo & more. Keyword, location, experience, salary, industry filters.", "version": "0.1", "x-build-id": "gbED6MKde2dNjaaPP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~timesjobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-timesjobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~timesjobs-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-timesjobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~timesjobs-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-timesjobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Search Keywords", "type": "string", "description": "Job title, skills, or keywords to search for. E.g. 'python developer', 'data scientist', 'react'." }, "location": { "title": "Location", "type": "string", "description": "City, state, or region to filter jobs. Leave blank for all of India." }, "experience": { "title": "Experience (Years)", "type": "string", "description": "Years of experience filter. E.g. '3' for 3 years, '3-7' for a range." }, "industry": { "title": "Industry", "type": "string", "description": "Industry sector filter. E.g. 'IT-Software', 'Banking', 'Healthcare'." }, "jobFunction": { "title": "Job Function", "type": "string", "description": "Functional area filter. E.g. 'IT Software - Application Programming', 'Sales'." }, "salaryMin": { "title": "Minimum Salary (Lakh PA)", "type": "string", "description": "Minimum salary in Lakh per annum. Leave blank for no minimum." }, "salaryMax": { "title": "Maximum Salary (Lakh PA)", "type": "string", "description": "Maximum salary in Lakh per annum. Leave blank for no maximum." }, "datePosted": { "title": "Date Posted", "enum": [ "any", "week", "month" ], "type": "string", "description": "Filter jobs by how recently they were posted.", "default": "any" }, "maxJobs": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of job listings to scrape.", "default": 100 }, "pageSize": { "title": "Page Size", "minimum": 10, "maximum": 50, "type": "integer", "description": "Number of results per API page (10–50). Higher values mean fewer requests.", "default": 10 }, "startPage": { "title": "Start Page", "minimum": 1, "type": "integer", "description": "Page number to start scraping from (for resuming or offset scraping).", "default": 1 }, "enrichDetails": { "title": "Enrich with Detail Page", "type": "boolean", "description": "If enabled, each job detail page is fetched for full description, industry, functional area, and employment type. Adds 7 extra fields. Costs ~2x more compute units.", "default": false }, "requestsPerSecond": { "title": "Requests Per Second", "minimum": 1, "maximum": 10, "type": "integer", "description": "Rate limit. Lower values reduce the risk of temporary blocks.", "default": 3 } } }, "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 } } } } } } } } } } ```