# LinkedIn Finance Jobs in Toronto Posted in the Last 24 Hours

**Use case:** 

Collects accountant and financial analyst jobs in Toronto that went up on LinkedIn in the last 24 hours, newest first, up to 100 per role. Each row shows the applicant count, job function, industry and full description, so you can apply while the list of applicants is still short. Schedule it every morning, or swap the roles and city for your own daily feed.

## Input

```json
{
  "keywords": [
    "accountant",
    "financial analyst"
  ],
  "locations": [
    "Toronto, Ontario, Canada"
  ],
  "maxJobsPerSearch": 100,
  "postedWithin": "day",
  "workplace": [],
  "experienceLevels": [],
  "jobTypes": [],
  "easyApply": false,
  "under10Applicants": false,
  "includeDetails": true,
  "sortBy": "date",
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "title": {
    "label": "Job title",
    "format": "text"
  },
  "company": {
    "label": "Company",
    "format": "text"
  },
  "applicantsText": {
    "label": "Applicants",
    "format": "text"
  },
  "jobFunction": {
    "label": "Function",
    "format": "text"
  },
  "industries": {
    "label": "Industries",
    "format": "text"
  },
  "isRemote": {
    "label": "Remote",
    "format": "boolean"
  },
  "description": {
    "label": "Description",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Scraper – No Login, Salary & Apply URL](https://apify.com/inovaflow/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/inovaflow/linkedin-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/inovaflow/linkedin-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`).