# Recent Jobs Scraper: Indeed & LinkedIn (`tidyharvest/recent-jobs-scraper-indeed-linkedin`) Actor

Fresh Indeed or LinkedIn jobs for any search and city, posted in the last hours or days, with full descriptions and pay ranges. Pay per job, no monthly fee.

- **URL**: https://apify.com/tidyharvest/recent-jobs-scraper-indeed-linkedin.md
- **Developed by:** [TidyHarvest](https://apify.com/tidyharvest) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Recent Jobs Scraper: Indeed & LinkedIn

**Fresh jobs from Indeed or LinkedIn for any search and location, with the full job description, for about $0.40 per 1,000 jobs.**
Ask for jobs posted in the last few hours, days or week, and get clean, structured data in minutes. No accounts, no cookies, no setup.

### Why people use it

- **Job boards & aggregators** - keep your listings fresh with only the newest postings.
- **Recruiters & sourcers** - find roles as soon as they appear, and see which companies are hiring.
- **Job seekers & career coaches** - track new openings for your searches, with descriptions and pay ranges.
- **Analysts & researchers** - salary, skills and demand trends by city and role.
- **AI and automation builders** - feed fresh jobs into your agents, alerts and dashboards.

### What you get per job

Title, company, location, **posting date**, **pay range and interval when the listing shows one**, remote flag, job type, job URL,
direct apply link when available, and the **full description**.

### Simple to use

1. Pick **Indeed** or **LinkedIn**.
2. Add up to 5 search terms (for Indeed, `OR` and quoted phrases work) and a location.
3. Choose how recent: from the last hour up to 7 days.
4. Run. Export as JSON, CSV or Excel, or pull the results through the API on a schedule.

### Pricing

**Pay per job returned.** No monthly rental and no start fee. Set a maximum cost per run and the Actor stops at your limit. If a search is blocked
or finds nothing, the run ends as **Failed** and you are not charged for jobs it did not deliver.

### Built to be dependable

It runs through rotating residential connections and retries a blocked search once on a fresh connection. Requests are spaced out (LinkedIn about
20 seconds between searches) and capped per run. It never retries in a burst.

### Example output

```json
{"site": "indeed", "title": "Machine Learning Engineer", "company": "Example Co", "location": "San Francisco, CA",
 "date_posted": "2026-10-11", "min_amount": 180000, "max_amount": 240000, "interval": "yearly", "is_remote": false,
 "job_url": "https://www.indeed.com/viewjob?jk=...", "description": "..."}
```

### Good to know

- Data comes from each site's public job-search results. Check the site's terms and your local rules before use.
- This Actor is not affiliated with or endorsed by Indeed or LinkedIn.
- Open-source core: JobSpy (MIT).

# Actor input Schema

## `site` (type: `string`):

Which board to search. LinkedIn runs slower (each description is fetched separately).

## `queries` (type: `array`):

Up to 5 search terms, for example machine learning engineer. OR and quoted phrases work on Indeed.

## `location` (type: `string`):

City or region, for example San Francisco, CA.

## `distanceMiles` (type: `integer`):

Search radius around the location (Indeed only), 1 to 100.

## `hoursOld` (type: `integer`):

Only jobs posted in the last N hours, 1 to 168.

## `maxItemsPerQuery` (type: `integer`):

Hard cap per term, 1 to 300. You are charged per job returned.

## `isRemote` (type: `boolean`):

Restrict to remote jobs.

## Actor input object example

```json
{
  "site": "indeed",
  "queries": [
    "machine learning engineer"
  ],
  "location": "San Francisco, CA",
  "distanceMiles": 25,
  "hoursOld": 48,
  "maxItemsPerQuery": 50,
  "isRemote": false
}
```

# Actor output Schema

## `jobs` (type: `string`):

All jobs returned by this run (title, company, location, date posted, pay, remote flag, URL, full description).

## `summary` (type: `string`):

Item count and any failed search terms.

# 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 = {
    "queries": [
        "machine learning engineer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("tidyharvest/recent-jobs-scraper-indeed-linkedin").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 = { "queries": ["machine learning engineer"] }

# Run the Actor and wait for it to finish
run = client.actor("tidyharvest/recent-jobs-scraper-indeed-linkedin").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "machine learning engineer"
  ]
}' |
apify call tidyharvest/recent-jobs-scraper-indeed-linkedin --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tidyharvest/recent-jobs-scraper-indeed-linkedin"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/PzN5nqPbNK0ZrcQqn/builds/sj9eDTiBRmfMR9BRo/openapi.json