Rippling Jobs Scraper & Data Extractor API avatar

Rippling Jobs Scraper & Data Extractor API

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Pay per event

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Rippling Jobs Scraper & Data Extractor API

Rippling Jobs Scraper & Data Extractor API

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.

Pricing

Pay per event

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Developer

Turgay NANTA

Turgay NANTA

Maintained by Community

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4 days ago

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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

FieldRequiredDescription
querynoWhat to search on Rippling Jobs (default: rippling jobs)
maxResultsnoMax clean results (default 20, cap 500)
enrichnoDeterministic enrichment per record (emails, domain, completeness)
monitornoCompare with previous run, flag NEW records only — ideal for scheduled runs

Rippling Jobs scraper output format (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)

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:

EventWhen charged
actor-startFree ($0)
resultPer clean result returned
enrichmentOnly per record that actually got enriched
change-alertMonitor mode: per NEW record since the previous run

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

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.