# Job Finder – Multi-Site Job Scraper (`moving_beacon-owner1/my-actor-41`) Actor

Scrapes LinkedIn, Indeed, Glassdoor, ZipRecruiter, and Google Jobs simultaneously. Returns structured, deduplicated job listings with detailed info like title, company, location, salary, and remote options. Optionally exports results as a CSV.

- **URL**: https://apify.com/moving\_beacon-owner1/my-actor-41.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 17 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 results

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Job Finder – Multi-Site Job Scraper

An Apify actor that searches multiple job boards simultaneously and returns structured, deduplicated results.

### Supported Sites

| Site           | Key              |
|----------------|------------------|
| LinkedIn       | `linkedin`       |
| Indeed         | `indeed`         |
| Glassdoor      | `glassdoor`      |
| ZipRecruiter   | `zip_recruiter`  |
| Google Jobs    | `google`         |

### Input Example

```json
{
  "search_term": "python developer",
  "location": "United States",
  "site_names": ["linkedin", "indeed"],
  "results_wanted": 100,
  "hours_old": 72,
  "distance": 50,
  "job_type": "fulltime",
  "is_remote": false,
  "country_indeed": "United States",
  "export_csv": true
}
```

#### Input Parameters

| Parameter        | Type     | Default            | Description                                      |
|------------------|----------|--------------------|--------------------------------------------------|
| `search_term`    | string   | `python developer` | Job title / keywords                             |
| `location`       | string   | `United States`    | Geographic area                                  |
| `site_names`     | string\[] | `[linkedin,indeed]`| Which boards to scrape                           |
| `results_wanted` | integer  | `100`              | Max results per site                             |
| `hours_old`      | integer  | `72`               | Only jobs posted within N hours                  |
| `distance`       | integer  | `50`               | Radius in miles                                  |
| `job_type`       | string   | (any)              | `fulltime`, `parttime`, `internship`, `contract` |
| `is_remote`      | boolean  | `false`            | Only remote positions                            |
| `country_indeed` | string   | `United States`    | Country for Indeed domain                        |
| `export_csv`     | boolean  | `true`             | Also save CSV to key-value store                 |

### Output

Each record in the default dataset contains:

```
site, title, company, company_url, location, date_posted, job_url,
job_type, salary_source, interval, min_amount, max_amount, currency,
description, emails, is_remote, scraped_at, search_term, search_location
```

If `export_csv` is enabled, a ready-to-download `jobs.csv` file is also
saved to the run's default key-value store.

### Running Locally

```bash
## Install deps
pip install -r requirements.txt

## Create input
mkdir -p storage/key_value_stores/default
echo '{"search_term":"data engineer","location":"New York","site_names":["linkedin"],"results_wanted":10,"hours_old":24}' \
  > storage/key_value_stores/default/INPUT.json

## Run
python -m src
```

### Deploying to Apify

```bash
apify login
apify push
```

Then trigger runs from the Apify Console, API, or schedule them on a cron.

# Actor input Schema

## `search_term` (type: `string`):

Job title or keywords to search for (e.g. 'python developer', 'data engineer').

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

Geographic location to search in (e.g. 'United States', 'San Francisco, CA').

## `site_names` (type: `array`):

Which job boards to scrape.

## `results_wanted` (type: `integer`):

Maximum number of job listings to retrieve per site.

## `hours_old` (type: `integer`):

Only return jobs posted within this many hours (filters by date).

## `distance` (type: `integer`):

Radius in miles around the location to search.

## `job_type` (type: `string`):

Filter by employment type.

## `is_remote` (type: `boolean`):

If enabled, only return remote positions.

## `country_indeed` (type: `string`):

Country for Indeed searches (uses country-specific Indeed domain).

## `export_csv` (type: `boolean`):

Also save results as a CSV file in the key-value store for easy download.

## Actor input object example

```json
{
  "search_term": "python developer",
  "location": "United States",
  "site_names": [
    "linkedin",
    "indeed"
  ],
  "results_wanted": 100,
  "hours_old": 72,
  "distance": 50,
  "is_remote": false,
  "country_indeed": "United States",
  "export_csv": true
}
```

# Actor output Schema

## `results` (type: `string`):

All scraped job listings normalized to a consistent schema (accessible via API).

## `csv` (type: `string`):

CSV file containing all job listings.

## `report` (type: `string`):

Per-site success/failure report with timing and error details.

## `id` (type: `string`):

No description

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

No description

## `job_url` (type: `string`):

No description

## `job_url_direct` (type: `string`):

No description

## `title` (type: `string`):

No description

## `company` (type: `string`):

No description

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

No description

## `date_posted` (type: `string`):

No description

## `job_type` (type: `string`):

No description

## `salary_source` (type: `string`):

No description

## `interval` (type: `string`):

No description

## `min_amount` (type: `string`):

No description

## `max_amount` (type: `string`):

No description

## `currency` (type: `string`):

No description

## `is_remote` (type: `string`):

No description

## `job_level` (type: `string`):

No description

## `job_function` (type: `string`):

No description

## `listing_type` (type: `string`):

No description

## `emails` (type: `string`):

No description

## `description` (type: `string`):

No description

## `skills` (type: `string`):

No description

## `experience_range` (type: `string`):

No description

## `company_rating` (type: `string`):

No description

## `company_reviews_count` (type: `string`):

No description

## `vacancy_count` (type: `string`):

No description

## `work_from_home_type` (type: `string`):

No description

## `company_num_employees` (type: `string`):

No description

## `company_revenue` (type: `string`):

No description

## `company_description` (type: `string`):

No description

## `company_industry` (type: `string`):

No description

## `company_url` (type: `string`):

No description

## `company_url_direct` (type: `string`):

No description

## `company_addresses` (type: `string`):

No description

## `company_logo` (type: `string`):

No description

## `scraped_at` (type: `string`):

No description

## `search_term` (type: `string`):

No description

## `search_location` (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 = {
    "search_term": "python developer",
    "location": "United States",
    "site_names": [
        "linkedin",
        "indeed"
    ],
    "results_wanted": 100,
    "hours_old": 72,
    "distance": 50,
    "job_type": "",
    "country_indeed": "United States"
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/my-actor-41").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 = {
    "search_term": "python developer",
    "location": "United States",
    "site_names": [
        "linkedin",
        "indeed",
    ],
    "results_wanted": 100,
    "hours_old": 72,
    "distance": 50,
    "job_type": "",
    "country_indeed": "United States",
}

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/my-actor-41").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 '{
  "search_term": "python developer",
  "location": "United States",
  "site_names": [
    "linkedin",
    "indeed"
  ],
  "results_wanted": 100,
  "hours_old": 72,
  "distance": 50,
  "job_type": "",
  "country_indeed": "United States"
}' |
apify call moving_beacon-owner1/my-actor-41 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moving_beacon-owner1/my-actor-41"
        }
    }
}

```

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/7XQvYbCJ3H3c1EhVw/builds/hXBkAvS3jCE3XfnL1/openapi.json