Seek Jobs Scraper

Search Seek (Australia's largest job board) and get clean, de-duplicated job JSON: title, company, location, salary label and canonical listing URLs. One click, no required fields, no LLM.

What it does

Seek is Australia's dominant job platform. This actor searches Seek listings by keyword — optionally filtered by city with the natural "python developer in Sydney" syntax — and returns clean job JSON: title, company, location, salary label, category and the canonical listing URL. Paginates automatically up to your maxResults, de-duplicates repeated/featured listings, and is ready for recruiting pipelines, market research and AI agents.

Why this one:

• Natural keywords in city location filter
• Automatic pagination + dedup of featured/repeated listings
• Salary label and category included when published
• No LLM anywhere — deterministic output, predictable costs, no hallucinated fields
• Clean by default — canonical URLs (tracking parameters stripped), parsed numbers, merged duplicates

Quick start (no code)

1. Click Try for free / Start — every field has a working default, nothing is required.
2. (Optional) change query to what you need.
3. Open the Dataset tab when the run finishes → export as JSON, CSV or Excel.

Input

Field	Required	Default	Description
query	no	data engineer	Search keywords, optionally with location: python developer in Sydney.
maxResults	no	20	Maximum clean results (capped at 500)
enrich	no	false	Deterministic enrichment per record — see below
monitor	no	false	Compare with the previous run, flag NEW records only

Example input:

{
  "query": "python developer in Sydney",
  "maxResults": 50
}

Output

Real example record (from a live run):

{
  "id": "93454609",
  "title": "Data Engineer",
  "url": "https://www.seek.com.au/job/93454609",
  "location": "Melbourne VIC",
  "seller": "IBAC",
  "description": "Create data technology solutions with internal stakeholders to strengthen IBAC's data capabilities.",
  "category": "Information & Communication Technology",
  "listed_at": "2026-07-22T22:31:19Z",
  "completeness": 0.5
}

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

Field reference

Field	Meaning
id	Seek listing ID (stable, deduplication key)
title	Job title
url	Canonical listing URL (seek.com.au/job/<id>)
seller	Company / advertiser name
location	Listing location(s)
salary (price_text)	Salary label when the company publishes one
category	Seek classification (e.g. Information & Communication Technology)
listed_at	Listing date
price / price_text	Parsed numeric value + original text, when the source publishes one
completeness	0–1 filled-fields score (with enrich)

Use cases

• Recruiting — daily feed of fresh roles for your keywords and cities (monitor mode).
• Salary research — collect salary labels across a role to benchmark offers.
• Market mapping — who is hiring the most data engineers in Sydney this month?
• Job boards — power an AU-focused niche job board with scheduled pulls.
• AI agents — live 'what jobs match X in Y city?' answers via MCP.

Enrichment (optional, charged only when it produces something)

Set enrich: true and every record additionally gets: e-mail addresses extracted from the description (when present), the canonical domain of the record's URL, and a completeness score (0–1, how many core fields are filled). Deterministic — the same input always yields the same output — and you are only charged for records that actually got enriched. Records where enrichment adds nothing are free.

Monitor mode — change alerts on a schedule

Set monitor: true and the actor compares the current run with the previous one (per-actor named storage) and flags only NEW records. Combine with Apify Schedules for a daily/hourly watch: the _changes summary row lists what appeared since the last run, and the change-alert event is charged per new record only — an unchanged run costs you almost nothing.

Use it from your code

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("EnezLi/seek-scraper").call(run_input={  "query": "python developer in Sydney",  "maxResults": 50 })
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const { defaultDatasetId } = await client.actor('EnezLi/seek-scraper').call({  "query": "python developer in Sydney",  "maxResults": 50 });
const { items } = await client.dataset(defaultDatasetId).listItems();
console.log(items);

curl

curl -X POST "https://api.apify.com/v2/acts/EnezLi~seek-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{  "query": "python developer in Sydney",  "maxResults": 50 }'

Use it with AI agents (MCP)

This actor is agent-ready: it appears in Apify's AGENTS / MCP servers catalog, so any MCP-capable assistant (Claude, custom agents, LangGraph tools) can discover and call it with a one-line tool call — zero required fields means an agent can run it safely with defaults. Connect your agent to the Apify MCP server and ask for live data in natural language.

Pricing — Pay-Per-Event, start is free

Event	When charged
Actor start	Free ($0) — try it with one click
result	Per clean result returned
enrichment	Only per record that actually got enriched
change-alert	Monitor mode: per NEW record since the previous run

No subscription, no minimum. Volume discounts apply automatically through Apify account tiers (up to −44% on GOLD). Typical run cost example: 20 results ≈ a few cents total — you can predict your bill from the numbers above before you run.

Is this legal?

This actor collects publicly available data only — the same information any visitor sees in a browser, via public endpoints. It does not bypass logins, collect private personal data, or store credentials. You are responsible for using the output in compliance with the source site's terms and the laws that apply to you (e.g. GDPR when the output contains personal data).

Support & feedback

Found a bug, need another field, or want a variant for a related platform? Open an issue on the Issues tab — issues are monitored and answered, and frequently-requested fields get added to the standard output. The actor is maintained as part of a scraper family built on one shared, tested core (bugs fixed once are fixed everywhere).

Changelog

• 0.1 (2026-07) — initial public release: search, dedup, optional enrichment, monitor mode, PPE pricing.

Limitations (honest ones)

Uses Seek's own site search API (not an official partner feed) — stable in practice but unofficial; if Seek changes it, the actor is patched or retired per our maintenance policy. Australia site only for now.

FAQ

Does it cover New Zealand?

This actor targets seek.com.au (Australia). NZ support is a planned variant — open an issue to vote for it.

Why do some rows have an empty salary?

Many companies simply don't publish one; the field is empty rather than guessed — this actor never invents data.

How fresh are results?

Each run queries Seek live — results are current as of the run, and listed_at tells you the listing date.

Do I need an API key or account on the source platform?

No. The actor uses public endpoints — you only need your Apify account.

Does it use AI / an LLM?

No. The core is fully deterministic: same input, same output, no hallucinations, no per-token costs.

Can I run it on a schedule?

Yes — use Apify Schedules; combine with monitor mode to pay only for what's new.

What's the maximum number of results?

500 per run (memory-safe cap). Run multiple queries or schedule runs for more.

How is my bill calculated?

Only from the events in the Pricing table — start is free, and there is no subscription.