# All-in-One Job Boards Scraper (`thenetaji/job-boards-all-in-one-scraper`) Actor

Search Dice and Seek, retrieve individual job postings, inspect Seek company profiles, or collect ZipRecruiter listings from one configurable Actor.

- **URL**: https://apify.com/thenetaji/job-boards-all-in-one-scraper.md
- **Developed by:** [The Netaji](https://apify.com/thenetaji) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $12.75 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## All-in-One Job Boards Scraper

Run focused Dice, Seek, and ZipRecruiter collection workflows from one Actor.

```json
{
  "scraperType": "diceSearch",
  "query": "python developer",
  "location": "New York, NY",
  "maxItems": 100
}
```

### Modes

| Mode | Result | Main input |
| --- | --- | --- |
| `diceSearch` | Dice search listings | `query`, optional `location` |
| `diceJob` | One complete Dice posting | `jobId` |
| `seekSearch` | Seek search listings | `query`, optional `location` |
| `seekJob` | One complete Seek posting | `jobId` |
| `seekCompany` | One Seek company profile | `companySlug` |
| `ziprecruiterSearch` | ZipRecruiter location listings | `location` |
| `ziprecruiterCompany` | One employer's listings | `company`, `city`, `state` |

### Results

One mode runs per execution, keeping each dataset consistent. Search rows contain listing data and search context; job modes return complete posting details; the company modes return either a Seek profile or an employer-specific ZipRecruiter listing set.

`page` selects the first page for paginated searches. `maxItems` limits saved rows.

### Focused Actors

Each mode is also available separately: [Dice Jobs](https://apify.com/thenetaji/dice-jobs-scraper), [Dice Job Description](https://apify.com/thenetaji/dice-job-description-scraper), [Seek Jobs](https://apify.com/thenetaji/seek-jobs-scraper), [Seek Job Description](https://apify.com/thenetaji/seek-job-description-scraper), [Seek Company](https://apify.com/thenetaji/seek-company-scraper), [ZipRecruiter Jobs](https://apify.com/thenetaji/ziprecruiter-jobs-scraper), and [ZipRecruiter Company Jobs](https://apify.com/thenetaji/ziprecruiter-company-jobs-scraper).

# Actor input Schema

## `scraperType` (type: `string`):

Choose the dataset for this run, then fill in the section for that mode below.

## `query` (type: `string`):

The job title, skill or keyword to search for. Used by the Dice and Seek searches; the ZipRecruiter search takes no keyword at all and is driven by location alone.

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

Where to search, in the wording the board itself uses — a city, a state or a country. Left empty, each board returns whatever it serves a reader with no location set.

## `jobId` (type: `string`):

A job ID, or a link to the posting. A Dice link in the shape dice.com/job-detail/<id> and a Seek link in the shape seek.com.au/job/<id> both have the ID pulled out of them. A value that is not recognisably a link to one of those boards is sent on exactly as typed.

## `companySlug` (type: `string`):

A Seek company slug, or a link to the company profile in the shape seek.com.au/companies/<slug>. Trailing sections such as /reviews are ignored, so a link copied from anywhere on the profile works.

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

The employer name as ZipRecruiter spells it on its company job pages. Required by the ZipRecruiter company mode, alongside the city and state that page is filed under.

## `city` (type: `string`):

The city the ZipRecruiter company page is filed under.

## `state` (type: `string`):

The state the ZipRecruiter company page is filed under, as its two-letter code.

## `page` (type: `integer`):

Which page the search modes start from. Leave at 1 unless you are picking a run back up part-way through a result list.

## `maxItems` (type: `integer`):

Maximum number of rows to save. Set 0 for no limit.

## Actor input object example

```json
{
  "scraperType": "diceSearch",
  "query": "python developer",
  "location": "New York, NY",
  "jobId": "8b2f0a2c-2f7c-4d1e-9d54-2f2b0a5f1c73",
  "companySlug": "cisco-systems-432649",
  "company": "Amazon",
  "city": "Seattle",
  "state": "WA",
  "page": 1,
  "maxItems": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

All records scraped by this run

# 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 = {
    "scraperType": "diceSearch",
    "query": "python developer",
    "location": "New York, NY",
    "jobId": "8b2f0a2c-2f7c-4d1e-9d54-2f2b0a5f1c73",
    "companySlug": "cisco-systems-432649",
    "company": "Amazon",
    "city": "Seattle",
    "state": "WA",
    "page": 1,
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thenetaji/job-boards-all-in-one-scraper").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 = {
    "scraperType": "diceSearch",
    "query": "python developer",
    "location": "New York, NY",
    "jobId": "8b2f0a2c-2f7c-4d1e-9d54-2f2b0a5f1c73",
    "companySlug": "cisco-systems-432649",
    "company": "Amazon",
    "city": "Seattle",
    "state": "WA",
    "page": 1,
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thenetaji/job-boards-all-in-one-scraper").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 '{
  "scraperType": "diceSearch",
  "query": "python developer",
  "location": "New York, NY",
  "jobId": "8b2f0a2c-2f7c-4d1e-9d54-2f2b0a5f1c73",
  "companySlug": "cisco-systems-432649",
  "company": "Amazon",
  "city": "Seattle",
  "state": "WA",
  "page": 1,
  "maxItems": 20
}' |
apify call thenetaji/job-boards-all-in-one-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thenetaji/job-boards-all-in-one-scraper"
        }
    }
}
```

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/1rmDStZv3Ts2MVtD7/builds/QDMZWtOWwChbMlkIp/openapi.json