Pricing

from $0.0005 / actor start

Try for free

Go to Apify Store

Scrape entry-level IT jobs in India

Try for free

Scrape entry-level IT jobs in India from LinkedIn and major ATS boards (Greenhouse, Lever, Workday, SmartRecruiters, etc.). Filter by recency, location, and job type. Outputs clean JSON to dataset and Excel report to key-value store.

Pricing

from $0.0005 / actor start

Rating

5.0

(1)

Developer

Dhanunjaya Y

Actor stats

Bookmarked

Total users

Monthly active users

14 days ago

Last modified

Categories

Jobs

Automation

Agents

You can access the Scrape entry-level IT jobs in India programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "1.0",
    "x-build-id": "5Fd6VIXuxiNnDPYJe"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/codexdhanush~scrape-entry-level-it-jobs-in-india/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-codexdhanush-scrape-entry-level-it-jobs-in-india",
        "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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/codexdhanush~scrape-entry-level-it-jobs-in-india/runs": {
      "post": {
        "operationId": "runs-sync-codexdhanush-scrape-entry-level-it-jobs-in-india",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/codexdhanush~scrape-entry-level-it-jobs-in-india/run-sync": {
      "post": {
        "operationId": "run-sync-codexdhanush-scrape-entry-level-it-jobs-in-india",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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",
          "posted_within"
        ],
        "properties": {
          "keywords": {
            "title": "Job Keywords",
            "type": "string",
            "description": "What kind of IT job to search for",
            "default": "software engineer fresher"
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Target Indian city or all India",
            "default": "India"
          },
          "posted_within": {
            "title": "Jobs Posted Within",
            "enum": [
              "1 hour",
              "2 hours",
              "5 hours",
              "12 hours",
              "today",
              "2 days",
              "this week"
            ],
            "type": "string",
            "description": "Only show jobs posted within this time window",
            "default": "today"
          },
          "sources": {
            "title": "Sources to Scrape",
            "uniqueItems": true,
            "type": "array",
            "description": "Internal override. Default behavior scrapes all supported sources.",
            "items": {
              "type": "string"
            },
            "default": [
              "linkedin",
              "greenhouse",
              "lever",
              "smartrecruiters",
              "workday",
              "icims",
              "jobvite",
              "bamboohr",
              "zoho",
              "freshteam",
              "keka",
              "darwinbox",
              "recruitee"
            ]
          },
          "job_type": {
            "title": "Job Type",
            "enum": [
              "full-time",
              "internship",
              "both"
            ],
            "type": "string",
            "description": "Full-time, Internship or Both",
            "default": "both"
          },
          "max_results_per_source": {
            "title": "Max Results Per Source",
            "minimum": 1,
            "maximum": 1000,
            "type": "integer",
            "description": "Maximum jobs to fetch from each board",
            "default": 100
          },
          "max_keyword_variants": {
            "title": "Max Keyword Variants",
            "minimum": 1,
            "maximum": 30,
            "type": "integer",
            "description": "How many auto-generated keyword variants to try per source",
            "default": 20
          },
          "execution_mode": {
            "title": "Execution Mode",
            "enum": [
              "ultra",
              "fast",
              "balanced",
              "deep"
            ],
            "type": "string",
            "description": "Trade-off between runtime speed and scraping depth",
            "default": "fast"
          },
          "run_timeout_seconds": {
            "title": "Run Timeout (seconds)",
            "minimum": 30,
            "maximum": 1800,
            "type": "integer",
            "description": "Global runtime budget before pending sources are cancelled",
            "default": 180
          },
          "source_timeout_seconds": {
            "title": "Per-Source Timeout (seconds)",
            "minimum": 30,
            "maximum": 900,
            "type": "integer",
            "description": "Maximum time allowed for each source before it is skipped",
            "default": 120
          },
          "source_concurrency": {
            "title": "Source Concurrency",
            "minimum": 1,
            "maximum": 16,
            "type": "integer",
            "description": "Number of sources scraped in parallel",
            "default": 6
          },
          "variant_concurrency": {
            "title": "Keyword Variant Concurrency",
            "minimum": 1,
            "maximum": 12,
            "type": "integer",
            "description": "Parallel keyword variants per source",
            "default": 4
          },
          "linkedin_variant_concurrency": {
            "title": "LinkedIn Variant Concurrency",
            "minimum": 1,
            "maximum": 6,
            "type": "integer",
            "description": "Parallel LinkedIn keyword variants",
            "default": 2
          },
          "linkedin_li_at_cookie": {
            "title": "LinkedIn li_at Cookie (Optional)",
            "type": "string",
            "description": "Optional LinkedIn session cookie. Marked as secret and hidden from logs."
          }
        }
      },
      "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Linkedin Jobs Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Scrape entry-level IT jobs in India from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Scrape entry-level IT jobs in India API in Python

Scrape entry-level IT jobs in India API in JavaScript

Scrape entry-level IT jobs in India API through CLI

Scrape entry-level IT jobs in India API

Career Scraper

canadesk/career-scraper

Collect Jobs from Greenhouse, Lever, Personio, Recruitee, SmartRecruiters, Workable and Workday in one go. It's fast and costs little.

Canadesk Support

Freshersworld Jobs Scraper

shahidirfan/freshersworld-jobs-scraper

Scrape job listings from Freshersworld, India's #1 portal for freshers and entry-level jobs. This lightweight actor extracts key job data efficiently. To ensure seamless access and avoid blocking, using residential proxies is highly recommended for best results.

Shahid Irfan

Career Scraper Plus

canadesk/career-scraper-plus

Collect Jobs from Greenhouse, Lever, Personio, Recruitee, SmartRecruiters, Workable and Workday in one go. It's fast and costs little.

Canadesk Support

Ats Jobs Search

jobo.world/ats-jobs-search

Search for jobs directly from 13 ATS platforms via RapidAPI (Greenhouse, Lever, Ashby, Workable, etc.). Zero ghost jobs, direct company sources. Perfect for job boards, AI agents & market research.

Enrico

Universal ATS Job Scraper

express_kingfisher/ats-job-scraper

Scrape thousands of job listings from Greenhouse and Lever career pages in seconds. Detects ATS type automatically and returns structured JSON (Title, Location, Salary, Description).

Prince Raj

LinkedIn Jobs Scraper

artificially/linkedin-jobs-scraper

Scrape job listings from LinkedIn. Search by keywords, location, job type, experience level, and more. Extract job details, company information, and application links.

Artificially

Linkedin Jobs Scraper

silentflow/linkedin-jobs-scraper

Scrape LinkedIn job listings without authentication. Extract job titles, salaries, company info, descriptions, and more. Filter by location, job type, experience level, and posting date. Export to JSON/CSV.

SilentFlow

Workday Jobs Crawler

jupri/workday

💫 Scrape Workday Jobs Websites

cat

Smartrecruiters Jobs Search

jobo.world/smartrecruiters-jobs-search

Search for jobs directly from SmartRecruiters ATS. Access enterprise global companies. Zero ghost jobs, verified daily.

Enrico

Workday Jobs Search

jobo.world/workday-jobs-search

Search for jobs directly from Workday ATS. Access Fortune 500 companies using Workday for recruitment. Zero ghost jobs, verified daily. Perfect for job boards, AI agents & enterprise hiring research.

Enrico