Rippling Jobs Scraper & API: Any Rippling Careers Board

Open roles from any company's Rippling ATS careers board (ats.rippling.com): title, department and team, all locations, employment type, pay range, posted date and apply link. $1.00 per 1,000 jobs.

Rippling Recruiting is the applicant tracking system inside Rippling's HR platform. Thousands of fast-growing US and European companies post their jobs on ats.rippling.com/<company>/jobs. This Actor turns any of those boards into clean rows you can filter, export and schedule.

Quick start

1. Press Start. The form is already filled with this example input, so the first run returns real rows in under a minute:

{
  "companies": [
    "rippling",
    "https://ats.rippling.com/useorigin/jobs"
  ],
  "maxJobsPerCompany": 10
}

2. Swap in your own values, or call the Actor through the Apify API, Make, Zapier, n8n or the Python/JS clients with the same JSON.
3. Download the results as JSON, CSV or Excel from the Output tab, or schedule the run to repeat.

Full guide: How to Scrape Rippling ATS Job Postings, with Pay Ranges by Location

What the Rippling Jobs Scraper does

You give the Actor Rippling board names (rippling) or careers URLs (ats.rippling.com/useorigin/jobs, job links and locale links such as /en-GB/<name>/jobs also work). It reads the board's public job list, applies your title, location and department filters, then opens each remaining job's public page for the details.

Rippling lists a job once per office. The Actor merges those copies into a single row with every location, so you never pay twice for the same job. You only pay for jobs saved after your filters.

• Pay ranges by location tier in payRanges, plus the first range in a simple salary column.
• The full department tree in departmentPath, such as Engineering > HR Products > HRIS.
• Posted date, employment type and its label ("Salaried, full-time", "Temporary / Intern").
• Set includeDetails to false for a faster, list-only run when you only need titles and links.

Who it is for

• Recruiters and staffing agencies: track openings at Rippling-hosted companies alongside your other target accounts.
• Compensation analysts: collect published pay ranges per location tier, such as US San Francisco Bay Area versus US Tier 1.
• Sales teams: spot companies hiring in a department you sell to.
• Job seekers: follow specific companies and see the published pay before applying.

Real example: engineering roles on two Rippling boards

Say you want the engineering openings at Rippling itself and at Origin (useorigin), a smaller company that also hires through Rippling ATS. You want up to ten roles per company, with pay where it is published.

Step 1: Enter the input

Open the Rippling Jobs Scraper in Apify Console, switch the input form to JSON and paste this. It is the exact input used for the run in this guide:

{
  "companies": [
    "rippling",
    "https://ats.rippling.com/useorigin/jobs"
  ],
  "titleKeywords": [
    "engineer"
  ],
  "maxJobsPerCompany": 10
}

What each setting does:

• companies: a bare board name and a full careers URL. Both forms work.
• titleKeywords: keep jobs whose title contains any of these words, ignoring case.
• maxJobsPerCompany: save at most ten jobs per company.

Step 2: Run it

Press Start. On 30 October 2026 this input finished with status SUCCEEDED in about 6 seconds and saved 10 rows to the run's dataset. The run was charged 10 job events plus one start event, so the bill was $0.01 on the Free/Bronze tier. The summary shows Rippling with 371 open jobs, of which 10 matched "engineer" before the cap, and Origin with 5 open jobs and 0 matches. Origin's board was found and read correctly; it simply had no engineering roles that day, so it cost nothing.

Step 3: Read the output

Here are the first rows of the real dataset, cut to the most useful columns:

title	location	employmentTypeLabel	salary	postedAt
Director of Engineering, HRIS Core Flows	San Francisco, CA	Salaried, full-time		2026-08-31T19:57:46.391Z
Engineering Leader - Agentic Talent Products	San Francisco, CA	Salaried, full-time	{"min": 207000, "max": 345000, "currency": "USD"…	2026-08-04T16:05:14.440Z
Engineering Leadership	Bangalore, India	Salaried, full-time		2026-05-26T03:36:30.983Z
Engineering Manager	Bangalore, India	Salaried, full-time		2026-09-07T08:20:08.749Z
Engineering Manager - Financial Integrity	Bangalore, India	Salaried, full-time		2026-08-13T08:43:40.506Z
Engineering Manager, HRIS Flow Platform	Toronto, Canada	Salaried, full-time	{"min": 186000, "max": 310000, "currency": "USD"…	2026-05-27T23:53:05.205Z
Engineering Manager - Inventory Management - IT	Seattle, WA	Salaried, full-time	{"min": 186000, "max": 310000, "currency": "USD"…	2026-09-01T20:39:43.678Z
Engineering Manager, Time Products	San Francisco, CA	Salaried, full-time	{"min": 186000, "max": 310000, "currency": "USD"…	2026-03-27T15:49:56.178Z
Full Stack Software Engineer Intern - Summer 202…	San Francisco, CA	Temporary / Intern	{"min": 10500, "max": 10500, "currency": "USD",…	2026-09-21T16:23:18.392Z
Machine Learning Software Engineer Intern - Summ…	San Francisco, CA	Temporary / Intern		2026-09-21T23:47:40.442Z

And one full row as JSON (long text shortened with …):

{
  "platform": "Rippling",
  "company": "rippling",
  "companyName": "Rippling",
  "jobId": "001c7945-723f-4062-be44-80e1e18276a3",
  "title": "Engineering Manager - Inventory Management - IT",
  "department": "Engineering",
  "departmentPath": [
    "Engineering",
    "IT Products",
    "Device Management"
  ],
  "location": "Seattle, WA",
  "locations": [
    "Seattle, WA",
    "San Francisco, CA"
  ],
  "workplaceType": "on-site",
  "employmentType": "salaried-ft",
  "employmentTypeLabel": "Salaried, full-time",
  "salary": {
    "min": 186000,
    "max": 310000,
    "currency": "USD",
    "period": "year",
    "text": null
  },
  "payRanges": [
    {
      "location": "US Tier 1",
      "min": 186000,
      "max": 310000,
      "currency": "USD",
      "period": "year",
      "isRemote": false
    }
  ],
  "postedAt": "2026-09-01T20:39:43.678Z",
  "url": "https://ats.rippling.com/rippling/jobs/001c7945-723f-4062-be44-80e1e18276a3",
  "applyUrl": "https://ats.rippling.com/rippling/jobs/001c7945-723f-4062-be44-80e1e18276a3/apply"
}

What the ten real rows show:

• Half of them carry pay. 5 of 10 rows have a published range. Engineering Leader - Agentic Talent Products in San Francisco is $207,000 to $345,000 a year. Three Engineering Manager roles (HRIS Flow Platform, Inventory Management - IT, Time Products) are $186,000 to $310,000. The three Bangalore roles have no range, which is typical because pay transparency laws are mostly a US matter, but neither do the San Francisco Director of Engineering and the Machine Learning intern, so do not assume every US role is covered.
• Ranges belong to a location tier. In payRanges, each range names its tier: "US San Francisco Bay Area", "US Tier 1" or just "US". The Full Stack intern role lists a range per office: $10,500 a month in each of the San Francisco, New York and Seattle offices. salary holds the first range for quick sorting; use payRanges when you need them all.
• Read the tier, not just the city. The Toronto-based Engineering Manager, HRIS Flow Platform shows a USD range whose tier is "US". The range applies to the US hiring tier, not to Toronto. That is how the company published it, and the Actor keeps it exactly as given.
• The department tree is useful. departmentPath goes as deep as Engineering > HR Products > Workforce Management > Leave Management, which is much better than a single "Engineering" label for mapping where a company is investing.
• Order is the board's own. With newestFirst off (the default for Rippling), the ten rows are the first ten matches in board order, with posted dates from March to September. Turn newestFirst on to sort by date first; it is slower on big boards because the Actor must read every matching job's page.

Why the details step matters

Rippling's public list page gives a title, a location and a link. The posted date, the employment type, the department tree, the company name and the pay ranges are only on each job's own page. With includeDetails on (the default), the Actor opens each saved job's page and fills those columns. With it off, the run is faster and you get the list-level columns only.

Date-based options need the details of every matching job, not just the saved ones: postedWithinDays must know each job's date before it can drop it, and newestFirst must know every date to sort. Title, location and department filters run first to keep this quick, so combine them with a date filter on large boards.

Output fields

Each row in the dataset has these fields. The example column shows a value from the run above.

Field	What it means	Example from this run
platform	The ATS the job came from, e.g. Greenhouse, Lever or Workable.	Rippling
company	The board name you gave, or the one the Actor detected.	rippling
companyName	The company display name, when the board publishes it.	Rippling
jobId	The ATS job ID. Stable from run to run, so use it to spot new jobs.	98b559a6-c8b2-4ede-85d9-cbf4883da996
title	The job title as posted.	Director of Engineering, HRIS Core Flows
department / team	Department and team, when the company sets them.	Engineering / HR Products
location / locations	The main location text, plus every location for multi-office roles.	San Francisco, CA / San Francisco, CA
country	Country, when the platform gives one.	(empty in this run)
workplaceType / isRemote	remote, hybrid or on-site, plus a true/false remote flag.	on-site / no
employmentType	full-time, part-time, intern and so on, when published.	salaried-ft
seniority	Experience level, when the platform publishes one.	(empty in this run)
salary	Structured pay range (min, max, currency, period, text) when the company publishes it; otherwise empty.	{"min": 207000, "max": 345000, "currency": "USD", "period":…
postedAt / updatedAt	When the job was first published and last edited (ISO dates).	2026-08-31T19:57:46.391Z / (empty in this run)
url / applyUrl	The public job page and the application page.	https://ats.rippling.com/rippling/jobs/98b559a6-c8b2-4ede-85… / https://ats.rippling.com/rippling/jobs/98b559a6-c8b2-4ede-85…
boardUrl	The company's careers board.	https://ats.rippling.com/rippling/jobs
scrapedAt	When the row was read (UTC).	2026-10-30T16:11:59.268Z
departmentPath	The full department tree, top level first.	Engineering, HR Products
employmentTypeLabel	Rippling's own label, such as "Salaried, full-time".	Salaried, full-time
payRanges	Every published pay range, each with location tier, min, max, currency, period and remote flag.	{"location": "US San Francisco Bay Area", "min": 207000, "ma…

Export Rippling jobs to CSV, Excel or Google Sheets

Every run saves its rows to a dataset, and a dataset can be downloaded in any common format. You do not need to write code for this.

From Apify Console. Open the run, go to the Output tab and click Export. Pick CSV, Excel (XLSX), JSON, XML, HTML or RSS. You can tick only the columns you want, for example company, title, location, employmentTypeLabel, salary. Nested values such as lists are flattened into columns like payRanges/0/min in CSV and Excel.

From a URL. The same export is a plain HTTPS link. Replace <DATASET_ID> with the dataset ID shown on the run's Storage tab:

# CSV with just the columns you need
curl -H "Authorization: Bearer $APIFY_TOKEN" \
  "https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=csv&clean=1&fields=company,title,location,employmentTypeLabel,salary,postedAt,url" -o rippling-jobs.csv

# Excel
curl -H "Authorization: Bearer $APIFY_TOKEN" \
  "https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=xlsx&clean=1" -o rippling-jobs.xlsx

Into Google Sheets. You have three good options:

1. One-off: download the CSV and use File > Import > Upload in Google Sheets. Choose "Replace current sheet" to refresh an existing tab.
2. Automatic, no code: in Make, Zapier or n8n, use the Apify app's "Watch Actor runs" (or "Run Actor") trigger, then "Get dataset items", then the Google Sheets "Add row" action. Every scheduled run then lands in your sheet. Apify's own Google Sheets Import & Export Actor can also append a dataset to a sheet, and you can chain it to this Actor's runs with an integration.
3. Formula: =IMPORTDATA("https://api.apify.com/v2/actor-tasks/<USERNAME>~<TASK_NAME>/runs/last/dataset/items?status=SUCCEEDED&format=csv&token=<YOUR_TOKEN>") always pulls the latest successful run of a saved task. The token sits in the formula, so anyone who can open the sheet can see it. Only use this in a private sheet.

Schedule it to run every day at 7:00

Job boards change every day. A daily run with postedWithinDays set to 1 or 2 gives you only the new roles, which keeps each run small and cheap. Because jobId is stable, you can also keep the full list and compare it with yesterday's to see which roles closed.

1. In the Actor's input form, set up the input from Step 1 and click Save as new task. Give it a clear name such as rippling-engineering-daily.
2. Go to Schedules > Create new, set the cron expression to 0 7 * * * and pick your timezone, so it runs every day at 7:00.
3. Add the task to the schedule and save. Each run gets its own fresh dataset.
4. Optional: on the task's Integrations tab, add a webhook, Slack or email notification for "Run succeeded", or connect Make, Zapier or n8n, so the new rows go where you need them.

To fetch the newest results without looking up a run ID, use the task's last-run link: https://api.apify.com/v2/actor-tasks/<USERNAME>~rippling-engineering-daily/runs/last/dataset/items?status=SUCCEEDED&format=json.

Call it from the API (Python, JavaScript or curl)

You can start the Actor from your own code with the official Apify clients. Put your API token (Console > Settings > API & Integrations) in an environment variable called APIFY_TOKEN rather than in the code.

Python (pip install "apify-client>=3"). Tested with apify-client 3.4:

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run_input = {
    "companies": [
        "rippling",
        "https://ats.rippling.com/useorigin/jobs"
    ],
    "titleKeywords": [
        "engineer"
    ],
    "maxJobsPerCompany": 10
}

run = client.actor("mrslm_data/rippling-jobs").call(run_input=run_input)

# apify-client 3.x returns a Run object, so use run.default_dataset_id
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item["title"], item["salary"])

In apify-client 3.x, call() returns a typed object. Older examples that use run["defaultDatasetId"] were written for 1.x and 2.x and fail in 3.x with TypeError: 'Run' object is not subscriptable.

JavaScript / Node.js (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const input = {
    "companies": [
        "rippling",
        "https://ats.rippling.com/useorigin/jobs"
    ],
    "titleKeywords": [
        "engineer"
    ],
    "maxJobsPerCompany": 10
};

const run = await client.actor('mrslm_data/rippling-jobs').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);

curl, one request that runs the Actor and returns the rows as CSV (it waits up to 5 minutes, so keep the input small):

curl -X POST "https://api.apify.com/v2/acts/mrslm_data~rippling-jobs/run-sync-get-dataset-items?format=csv" \
  -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
  -d '{"companies": ["rippling", "https://ats.rippling.com/useorigin/jobs"], "titleKeywords": ["engineer"], "maxJobsPerCompany": 10}' -o rippling-jobs.csv

What it costs

The Actor uses pay-per-event pricing. Job: $1.00 per 1,000 on the Free and Bronze tiers, $0.90 on Silver and $0.80 on Gold. Each run also has a start fee of $0.00005 per GB of memory (one event at the default memory). You are not billed separately for compute on normal runs: the event prices are the whole bill.

Price per event

Current pay-per-event prices for this Actor on Apify, by Apify subscription plan:

Event (per 1,000)	Free / Bronze	Silver	Gold / Platinum / Diamond
Job (job)	$1.00	$0.90	$0.80
Actor start (once per run at the default memory, not per 1,000)	$0.00005	$0.00005	$0.00005

You are charged only for the events in this table: nothing for compute, and nothing for searches that return no rows beyond the start fee.

Scenario	Free / Bronze	Silver	Gold
The run in this guide (10 jobs)	$0.01	$0.00905	$0.00805
Full export of Rippling's 371 open roles	$0.37	$0.33	$0.30
Daily new-roles feed over 40 Rippling boards, about 20 jobs a day (30 runs, 600 a month)	$0.60	$0.54	$0.48

To cap spending, set Maximum cost per run in the run options (or maxTotalChargeUsd in the API). The Actor stops cleanly at the cap and you are never billed past it.

Limits

• It reads open jobs only. Closed roles are gone from the public board, so keep your own history if you need it.
• Filters are plain keyword matches on the title, location or department text. engineer also matches "Engineering Manager" and "Solutions Engineer"; use excludeTitleKeywords to trim.
• Descriptions are capped at 5,000 characters of plain text when includeDescription is on.
• Rippling ATS boards only (ats.rippling.com). For other systems use the ATS Jobs Scraper.
• Pay only where the company publishes it. Ranges are tied to the company's location tiers, which do not always match the job's office.
• postedWithinDays and newestFirst read every matching job's page, so they are slower on boards with hundreds of roles.

FAQ

Why is salary sometimes empty? Rippling only shows pay where the company publishes it, which is often required in US states such as California, New York, Colorado and Washington. When it is published you get every range, per location tier.

Why do I get one row when the job is listed in five offices? Rippling lists a job once per office. The Actor merges those into one row with all locations in locations, so you pay once.

Is a date filter slower? A bit. The posted date is only on each job's own page, so with postedWithinDays or newestFirst the Actor reads every matching job before it picks the newest ones.

Do I need an API key or a login for the job board? No. Every board this Actor reads is the public one behind the company's careers page. You only need your own Apify token to run the Actor.

Does it include recruiter or applicant data? No. Only the public job ad. Application questions, recruiters and candidates are never read, and email addresses and phone numbers in descriptions are removed.

How fresh is the data? Live. Each run reads the boards at that moment, so closed jobs disappear and new ones appear.

What happens if I mistype a company name? That company is reported as not found in the run summary and costs nothing. The rest of the run carries on.

How do I get only new jobs every day? Save your input as a task with postedWithinDays set to 1 and give it a daily schedule. For boards with irregular dates, set it to 2 and drop duplicates by jobId.

Can I run it on a schedule? Yes. Save your input as a task and attach a schedule, as shown above. Each run is independent and returns the Rippling jobs available at that moment.

Does it work with Make, Zapier or n8n? Yes. All three have an Apify app. Use "Run Actor" (or run a saved task), then "Get dataset items" to pass the rows to the next step, such as Google Sheets, Airtable, a CRM or Slack.

Can AI agents use it through MCP? Yes. Apify's hosted MCP server can expose this Actor as a tool to any MCP client (Claude Desktop, Cursor, VS Code and others). Add https://mcp.apify.com/?tools=mrslm_data/rippling-jobs as a remote MCP server and sign in with your Apify account or API token. The agent fills in the same input fields shown above and gets the same rows back, billed at the same per-event prices.

Can I get ats.rippling.com jobs through an API? Yes. You can run the Actor through the Apify API and retrieve its dataset; you do not need a Rippling board API key or login. Add board names or careers URLs to companies and set maxJobsPerCompany to limit results per company.

How do I export Rippling job postings to CSV or Google Sheets? Download CSV from the run's Output tab, then import it into Google Sheets. You can also use Make, Zapier or n8n to send dataset rows to a sheet after each run.

How can I find pay ranges in Rippling job postings? Leave includeDetails on to collect published ranges in payRanges, with the first range also in salary. Ranges are only available where the company publishes them and may be tied to a location tier.

Related job board scrapers

• ATS Jobs Scraper: Greenhouse, Lever, Workable, Recruitee, Personio, Breezy HR and Teamtailor in one format.
• Greenhouse Jobs Scraper, Lever Jobs Scraper and Workable Jobs Scraper for single-ATS boards.

Is it legal?

This Actor only reads pages and feeds that the website itself publishes to every visitor without a login. It obeys each site's robots.txt, keeps a polite request rate, and never tries to get past logins, paywalls, captchas or bot checks. It does not collect personal data such as emails, phone numbers or names of private individuals. You are responsible for how you use the data: follow the source site's terms, copyright and the privacy laws that apply to you (GDPR, CCPA, etc.). This tool is independent and not affiliated with or endorsed by Rippling or the companies whose boards it reads.