# New Fresher Jobs Alert: Daily Feed of Unseen Openings

**Use case:** 

New fresher jobs alert for India: schedule this run daily and get only openings you have not seen before from Freshersworld. The first run builds a baseline, later runs return just the new jobs with company, salary and apply link. Send the feed to Sheets, Slack or email so you never miss a fresh fresher opening.

## Input

```json
{
  "keyword": "",
  "location": "",
  "experienceLevel": "any",
  "category": "",
  "datePosted": "last7days",
  "includeFullDescription": false,
  "onlyNewJobs": true,
  "resetSeenJobs": false,
  "monitorScope": "example-fresher-alerts",
  "maxItems": 10,
  "maxSitemapCandidates": 500,
  "maxConcurrency": 5,
  "retries": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}
```

## Output

```json
{
  "is_new": {
    "label": "New since last run",
    "format": "boolean"
  },
  "posted_at": {
    "label": "Posted at",
    "format": "string"
  },
  "first_seen_at": {
    "label": "First seen at",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "company_name": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "job_url": {
    "label": "Job URL",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Freshersworld Jobs Scraper: Filtered Fresher Jobs Actor is ready to run with the inputs already set for "New Fresher Jobs Alert: Daily Feed of Unseen Openings". [Sign up or log in](https://console.apify.com/create-task-from-example/lwsJ4XmoGV1LBoy7i) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "New Fresher Jobs Alert: Daily Feed of Unseen Openings" task

The Freshersworld Jobs Scraper: Filtered Fresher Jobs Actor will start running based on the input automatically. You can also change all the input fields, like experience level, posted within, and more, to match your specific use case.

### 3. Receive the "New Fresher Jobs Alert: Daily Feed of Unseen Openings" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as new since last run, posted at, first seen at, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "New Fresher Jobs Alert: Daily Feed of Unseen Openings" task via API](https://apify.com/getascraper/freshersworld-jobs-scraper.md).

## About this Actor

This example demonstrates how to use [Freshersworld Jobs Scraper: Filtered Fresher Jobs](https://apify.com/getascraper/freshersworld-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getascraper/freshersworld-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getascraper/freshersworld-jobs-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).