# TimesJobs Scraper - Low-cost💲🔥🌐💼 (`delectable_incubator/timesjobs-scraper-low-cost`) Actor

💼 Scrape TimesJobs job listings and extract job titles, company names, locations, salaries, experience requirements, posting dates, descriptions, skills, and application URLs. Perfect for recruitment, job aggregation, hiring intelligence, HR analytics, lead generation, and job market research. 🚀

- **URL**: https://apify.com/delectable\_incubator/timesjobs-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Lead generation, Automation, Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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/docs.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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

<p align="center">
  <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="TimesJobs Job Scraper" width="100%">
</p>

---

## 🌐💼 TimesJobs Job Scraper | Bulk TimesJobs Jobs Scraper | Apify Actor

### 🚀 Extract TimesJobs Job Listings in Seconds (No Code)

The **TimesJobs Job Scraper** is a powerful, scalable, and SEO-optimized Apify Actor built to extract job listings from **TimesJobs.com** in bulk. Collect structured hiring data from one of India's largest employment platforms for recruitment, HR analytics, job aggregation, AI datasets, lead generation, and labor market intelligence.

---

## 🔥 Why Choose This TimesJobs Scraper?

✔ Best TimesJobs scraper on Apify

✔ Bulk keyword job scraping (multi-search)

✔ Fast & scalable cloud extraction

✔ Supports all major Indian cities

✔ Automatic pagination

✔ Clean structured JSON / CSV / Excel output

✔ Ideal for recruiters, staffing agencies, startups & HR teams

✔ No coding required

---

## 🎯 What This Scraper Does (TimesJobs Job Data Extraction)

This Apify Actor extracts real-time job listings directly from **TimesJobs search results**.

#### 📌 Core Features

✅ Scrape TimesJobs job listings

✅ Bulk keyword job scraping (SEO BOOST 🚀)

✅ Search multiple job titles in one run

✅ Location filtering across India

✅ Automatic pagination

✅ Extract company names

✅ Extract salaries (when available)

✅ Extract experience requirements

✅ Extract posted dates

✅ Extract direct job URLs

✅ High-speed extraction engine

✅ Clean structured datasets

---

## ⚡ Input Configuration (Simple & Powerful)

### 🔥 BULK KEYWORD MODE (SEO BOOST 🚀)

````

{
"keywords": \[
"software engineer",
"data analyst",
"python developer",
"java developer",
"marketing manager",
"sales executive",
"devops engineer",
"hr recruiter"
],
"location": "India",
"max\_items": 200
}

```

---

## 📊 Extracted Job Data (Structured Output)

| Field | Description |
|------|-------------|
| jobId | Unique job identifier |
| jobTitle | Job title |
| companyName | Hiring company |
| location | Job location |
| experience | Required experience |
| salary | Salary information (when available) |
| postedDate | Job posting date |
| jobUrl | Direct TimesJobs job URL |

---

## 💡 Use Cases (High Demand SEO Keywords)

This TimesJobs scraper is ideal for:

💼 India job scraping

📊 Indian job market analysis

🎯 Recruitment automation

🏢 Staffing & talent sourcing

📈 HR analytics & hiring trends

🤖 AI training datasets

📡 Job aggregation platforms

🏢 Company hiring intelligence

⚡ Bulk job extraction

---

## 🚀 Key Features (Apify SEO Optimized)

⚡ Bulk keyword scraping

🌍 India-wide location support

📌 Automatic pagination

🧠 Structured output

📊 High-speed scraping engine

🔁 Auto retry & stability system

💾 Export-ready datasets

⚙️ Scalable cloud execution

---

## 📤 Output Formats Supported

✔ JSON

✔ CSV

✔ Excel (XLSX)

✔ XML

✔ HTML

---

## 📦 Example Output

```

{
"jobId": "TJ-123456",
"jobTitle": "Software Engineer",
"companyName": "ABC Technologies",
"location": "Bangalore",
"experience": "2-5 Years",
"salary": "₹6,00,000 - ₹10,00,000 P.A.",
"postedDate": "2026-01-10",
"jobUrl": "https://www.timesjobs.com/job-detail/..."
}

````

---

## 🔥 Why This is the BEST TimesJobs Scraper on Apify?

✔ Optimized for Apify marketplace SEO

✔ High-performance scraping engine

✔ Bulk keyword support

✔ Enterprise-ready datasets

✔ Automatic pagination

✔ AI dataset ready

✔ Perfect for recruitment intelligence

✔ Built for scalability

---

## 💸 Pricing

This scraper runs on a **pay-per-result** pricing model.

You only pay for successfully extracted records.

💳 **Price:** **$0.98 / 1,000 results**

---

## ❓ FAQ (SEO BOOST SECTION)

#### Can I scrape multiple keywords at once?

Yes — bulk keyword mode is fully supported.

#### Does it support all Indian cities?

Yes — simply specify your preferred city or use **India** to search nationwide.

#### Does it handle pagination?

Yes — all result pages are scraped automatically.

#### Is coding required?

No — this is a 100% no-code Apify Actor.

#### Can I export the data?

Yes — export to JSON, CSV, Excel, XML, or HTML.

---

## ⚠️ Disclaimer

This scraper is an independent data extraction tool and is **not affiliated with TimesJobs**.

---

## 🔗 Related Actors (PrimeScrape Job Intelligence Suite)

👉 Explore our growing collection of premium Job, Company, Marketplace, Social Media, and Lead Generation scrapers.

---

## 🌍 PrimeScrape Ecosystem

Built for large-scale data extraction, automation, AI datasets, and business intelligence.

📊 Job Intelligence

🏢 Company Intelligence

📈 Market Research

🤖 AI Training Datasets

⚙️ Automation Pipelines

💼 Recruitment Analytics

---

## 📬 Support

⭐⭐⭐⭐⭐ Love this scraper? Leave a **5-star review**!

📩 Need a custom scraper or enterprise solution? Contact **PrimeScrape** through the Apify platform.

# Actor input Schema

## `keywords` (type: `array`):

List of keywords to search for jobs (e.g., 'software', 'data analyst', 'marketing'). Each keyword is scraped separately, with its own job limit (see max_items_per_keyword).
## `location` (type: `string`):

Job location - leave empty for all locations (e.g., 'Delhi', 'Mumbai', 'Bangalore')
## `max_items_per_keyword` (type: `integer`):

Limits how many job listings will be scraped from TimesJobs.com for each keyword

## Actor input object example

```json
{
  "keywords": [
    "software"
  ],
  "location": "",
  "max_items_per_keyword": 30
}
````

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "software"
    ],
    "location": "",
    "max_items_per_keyword": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/timesjobs-scraper-low-cost").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["software"],
    "location": "",
    "max_items_per_keyword": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/timesjobs-scraper-low-cost").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"
  ],
  "location": "",
  "max_items_per_keyword": 30
}' |
apify call delectable_incubator/timesjobs-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=delectable_incubator/timesjobs-scraper-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "TimesJobs Scraper - Low-cost💲🔥🌐💼",
        "description": "💼 Scrape TimesJobs job listings and extract job titles, company names, locations, salaries, experience requirements, posting dates, descriptions, skills, and application URLs. Perfect for recruitment, job aggregation, hiring intelligence, HR analytics, lead generation, and job market research. 🚀",
        "version": "0.0",
        "x-build-id": "F2WWzeB7kPA6HbkBh"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~timesjobs-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-timesjobs-scraper-low-cost",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~timesjobs-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-timesjobs-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~timesjobs-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-timesjobs-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": "array",
                        "description": "List of keywords to search for jobs (e.g., 'software', 'data analyst', 'marketing'). Each keyword is scraped separately, with its own job limit (see max_items_per_keyword).",
                        "default": [
                            "software"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "location": {
                        "title": "Location 📍",
                        "type": "string",
                        "description": "Job location - leave empty for all locations (e.g., 'Delhi', 'Mumbai', 'Bangalore')",
                        "default": ""
                    },
                    "max_items_per_keyword": {
                        "title": "Maximum number of jobs to scrape per keyword 🔢",
                        "type": "integer",
                        "description": "Limits how many job listings will be scraped from TimesJobs.com for each keyword",
                        "default": 30
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```