# BambooHR Jobs Scraper & API (`jobsapi/bamboohr-jobs-search-scraper`) Actor

Extract complete public BambooHR jobs and optional public detail metadata from one or more careers tenants.

- **URL**: https://apify.com/jobsapi/bamboohr-jobs-search-scraper.md
- **Developed by:** [Jobs API](https://apify.com/jobsapi) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 bamboohr career roles

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## BambooHR Jobs Search Scraper

Reads public BambooHR careers feeds for one or more tenants and enriches a bounded number of public job pages. Tenant inputs may be slugs such as flyio, full hosts, or public careers/list URLs. No authenticated BambooHR API, login, credentials, or protected endpoint is used.

### Input

- companyDomains: one or more BambooHR tenant slugs or hosts.
- query: optional case-insensitive title/department filter.
- maxItems: maximum jobs across tenants.
- includeDetails: fetch public careers/{id} pages (default true).
- maxDetailItems: bounded public detail-page budget.
- requestTimeoutSecs: per-request timeout.

### Output

The dataset contains job records only. A row requires a stable tenant/job identity, title, location, and at least 120 characters of public detail text. Source list/detail receipts, cleaned source provenance, and detail/identity/canonical verification flags are included.

OUTPUT contains run counts and truthful local/cloud execution metadata. RUN_DIAGNOSTICS contains structured tenant, detail, and data-quality failures. HEALTH contains a compact status snapshot.

### Development

Run npm ci, npm test, npm run check, npm run validate:schema, then apify run --purge --input-file INPUT.json. Validate the resulting dataset with npm run validate.

# Changelog

This Actor's version history is a separate document: https://apify.com/jobsapi/bamboohr-jobs-search-scraper/changelog.md

# Actor input Schema

## `companyDomains` (type: `array`):

BambooHR tenant slugs, hosts, or public careers/list URLs. Example: flyio or flyio.bamboohr.com.

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

Optional case-insensitive filter applied to normalized job titles and departments.

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

Maximum public job records across all tenants.

## `includeDetails` (type: `boolean`):

Fetch bounded public /careers/{id} pages for a description/title meta field.

## `maxDetailItems` (type: `integer`):

Maximum job pages to enrich per run.

## `requestTimeoutSecs` (type: `integer`):

Timeout for each public request in seconds.

## Actor input object example

```json
{
  "companyDomains": [
    "flyio"
  ],
  "query": "",
  "maxItems": 25,
  "includeDetails": true,
  "maxDetailItems": 10,
  "requestTimeoutSecs": 30
}
```

# Actor output Schema

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

No description

## `runSummary` (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 = {
    "companyDomains": [
        "flyio"
    ],
    "maxItems": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("jobsapi/bamboohr-jobs-search-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 = {
    "companyDomains": ["flyio"],
    "maxItems": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("jobsapi/bamboohr-jobs-search-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 '{
  "companyDomains": [
    "flyio"
  ],
  "maxItems": 25
}' |
apify call jobsapi/bamboohr-jobs-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jobsapi/bamboohr-jobs-search-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/teYbDTueSkfomqMJU/builds/JHIFrRBSmr22Q81Vj/openapi.json