# Rippling Jobs Scraper & Data Extractor API (`enezli/rippling-scraper`) Actor

Rippling ATS job scraper pulls live postings from any company's Rippling job board via API. Extracts title, department, location and apply link — give it a board code, company name or a pasted board URL. Built for job boards and AI agents.

- **URL**: https://apify.com/enezli/rippling-scraper.md
- **Developed by:** [Turgay NANTA](https://apify.com/enezli) (community)
- **Categories:** Agents, MCP servers, Jobs
- **Stats:** 1 total users, 0 monthly users, 0.0% 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?

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

## Rippling Jobs Scraper & Data Extractor API

Rippling Jobs — Rippling Jobs Scraper & Data Extractor API

Runs with **one click — no required fields**. Type a query (or use the default), get clean, de-duplicated JSON. Built for both humans and AI agents (MCP-ready).

### What does this Rippling Jobs scraper do?

Searches Rippling Jobs for your query and returns **clean, normalized, de-duplicated** records: canonical URLs (tracking parameters stripped), parsed prices and ratings, and merged duplicates. Optional deterministic enrichment adds extracted emails, canonical domain and a completeness score per record — no LLM anywhere, so output is stable and costs are predictable.

### Rippling Jobs scraper input parameters

| Field | Required | Description |
|---|---|---|
| `query` | no | What to search on Rippling Jobs (default: `rippling jobs`) |
| `maxResults` | no | Max clean results (default 20, cap 500) |
| `enrich` | no | Deterministic enrichment per record (emails, domain, completeness) |
| `monitor` | no | Compare with previous run, flag NEW records only — ideal for scheduled runs |

### Rippling Jobs scraper output format (JSON)

```json
{
  "id": "12345",
  "title": "Example result title",
  "url": "https://www.example.com/item/12345",
  "price": 49.9,
  "price_text": "$49.90",
  "location": "Singapore",
  "seller": "Example Store",
  "rating": 4.7,
  "reviews": 1284,
  "description": "Short description of the item...",
  "completeness": 0.83
}
```

The final row `_summary` carries run totals (`total_clean`, `deduped`, `enriched`). In monitor mode a `_changes` row lists the keys that are new since the last run.

### Rippling Jobs API code example (Python)

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("EnezLi/rippling-scraper").call(run_input={
    "query": "rippling jobs",
    "maxResults": 50,
    "enrich": True,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

### Rippling Jobs scraper pricing (Pay-Per-Event)

You only pay for what you get — **start is free**, no subscription:
| Event | When charged |
|---|---|
| `actor-start` | Free ($0) |
| `result` | Per clean result returned |
| `enrichment` | Only per record that actually got enriched |
| `change-alert` | Monitor mode: per NEW record since the previous run |

Volume discounts apply automatically via account tiers (up to −44% on GOLD).

### Is scraping Rippling Jobs legal?

This actor collects **publicly available data only** — the same information any visitor sees in a browser. It does not bypass logins, collect private data, or store personal credentials. You are responsible for using the output in compliance with the target site's terms and applicable laws (e.g. GDPR) in your jurisdiction.

### Frequently asked questions

**Is there a free Rippling Jobs scraper?**
Yes — starting a run costs $0. Pay-per-event pricing only charges for clean results actually returned, so a small test run is free.

**How do I export Rippling Jobs data to CSV or JSON?**
Every run's output is an Apify dataset — export it as JSON, CSV, Excel, or via API directly from the run's Storage tab, no extra configuration needed.

**Does this Rippling Jobs scraper work with AI agents?**
Yes — it's MCP-ready, so AI agents (Claude, etc.) can call it directly as a tool via the Apify MCP server.

**How often is the data updated?**
Data is fetched live on every run. Use `monitor: true` and a schedule to get only the NEW records since the last run.

**Can I scrape Rippling Jobs without writing code?**
Yes — run it directly from the Apify Console with one click; no required input fields.

### Support

Found a bug or need a field this actor doesn't return yet? **Open an issue** on the actor's Issues tab — issues are monitored and answered. Feature requests are welcome; frequently-requested fields get added to the standard output.

# Actor input Schema

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

Rippling job board to read: a company board code (e.g. "rippling"), a company name ("Acme Corp"), or a pasted board URL (https://ats.rippling.com/acme/jobs). Leave empty to use the default — the actor runs with one click, no required fields.

## `maxResults` (type: `integer`):

Maximum number of clean results to return (capped at 500).

## `enrich` (type: `boolean`):

Adds deterministic enrichment per record: extracted emails, canonical domain and a completeness score. Charged per enriched record (see Pricing).

## `monitor` (type: `boolean`):

Compares this run with the previous one and flags NEW records only. Ideal for scheduled runs — get alerted when something changes. Charged per change.

## Actor input object example

```json
{
  "query": "rippling",
  "maxResults": 20,
  "enrich": false,
  "monitor": false
}
```

# Actor output Schema

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

Clean, normalized and de-duplicated records scraped from Rippling Jobs, as JSON. Each item follows the dataset schema (see storages.dataset.fields in actor.json).

# 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 = {
    "query": "rippling"
};

// Run the Actor and wait for it to finish
const run = await client.actor("enezli/rippling-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 = { "query": "rippling" }

# Run the Actor and wait for it to finish
run = client.actor("enezli/rippling-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 '{
  "query": "rippling"
}' |
apify call enezli/rippling-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,enezli/rippling-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/ZIi1HtFbdVcSiVdF4/builds/MDdmJj8lF78nRT8iz/openapi.json