Seek Jobs Scraper

Give it job titles and places in Australia or New Zealand (or Seek search URLs) and it returns one JSON row per Seek job: title, company, location down to suburb and postcode, pay, work type, on-site, hybrid or remote, classification, listing and closing dates, the full description, and the company's website, size and rating when it has a Seek profile. $1.80 per 1,000 jobs, details included; you pay only for rows you get.

$1.80 per 1,000 jobs

Why this actor

• Full description and company profile in the one job event.
• Seek's own filters, up to 550 jobs per search.
• No contact names or phone numbers; unknown places are free error rows.

Drop-in input

Input names of other Seek scrapers work as they are.

As stated in the actor’s README. The full list of accepted input names is on the Store page.

What you get

Sample row (from the README example; long text shortened, lists cut to two items):

{
  "rowType": "job",
  "platform": "seek",
  "jobId": "95426731",
  "url": "https://www.seek.com.au/job/95426731",
  "title": "Data Analysis Officer",
  "companyName": "Macquarie University",
  "advertiserName": "Macquarie University",
  "advertiserId": "28800385",
  "companyProfileUrl": "https://au.seek.com/companies/macquarie-university-432440",
  "location": "Sydney NSW",
  "area": "Ryde & Macquarie Park",
  "suburb": "North Ryde",
  "state": "New South Wales",
  "postcode": "2113",
  "country": "AU",
  "classification": "Information & Communication Technology",
  "subClassification": "Other",
  "workTypes": [
    "Full time"
  ],
  "workArrangements": [
    "Hybrid"
  ],
  "salaryLabel": null,
  "salary": null,
  "listedAt": "2026-10-22T03:18:06Z",
  "listedAgo": "8h ago",
  "expiresAt": "2026-11-21T03:18:04.000Z",
  "teaser": "We are hiring an enthusiastic Data Analysis Officer to join our team!",
  "bulletPoints": [],
  "description": "$102,136 - 112,741 per annum (HEW Level 6), plus 17% employer's superannuation and annual leave loading\nFull-time, 16-month fixed-term contract ...",
  "normalizedTitle": "Data Analytics Officer",
  "applyOnSeek": false,
  "featured": false,
  "companyWebsite": "http://mq.edu.au/",
  "companySize": "1,001-5,000 employees",
  "companyIndustry": "Education, Training & Professional Development",
  "companyRating": 3.4,
  "companyReviewCount": 85,
  "detailsIncluded": true,
  "source": "data analyst in Sydney NSW (AU)",
  "sourceType": "search",
  "searchKeyword": "data analyst",
  "searchLocation": "Sydney NSW 2000",
  "position": 11,
  "scrapedAt": "2026-10-22T12:00:00.000Z"
}

Price

Live Apify price on 2026-10-31, per 1,000 rows, by Apify plan. You pay only for rows delivered; error and summary rows marked free in the README cost nothing. Plus $0.001 per GB of memory when a run starts.

Use cases

• Recruiting and staffing in Australia and New Zealand: who is hiring for a role in a city, with pay and work arrangement.
• Salary research: advertised pay per title, place and classification.
• Sales prospecting: companies that are hiring, with their website and size.
• Job boards and aggregators: fresh listings per keyword with postedWithinDays.
• Labour-market research: hiring by classification, work type and region.

Run it from code or an AI agent

Actor ID arcadium/seek-jobs. Set APIFY_TOKEN to your Apify API token. The input below is the actor’s prefilled example; see the guide for every field.

curl -X POST "https://api.apify.com/v2/acts/arcadium~seek-jobs/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["data analyst"],"locations":["Sydney NSW"],"startUrls":[],"maxJobsPerSearch":50}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('arcadium/seek-jobs').call({
  "keywords": [
    "data analyst"
  ],
  "locations": [
    "Sydney NSW"
  ],
  "startUrls": [],
  "maxJobsPerSearch": 50
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("arcadium/seek-jobs").call(run_input={
    "keywords": ["data analyst"],
    "locations": ["Sydney NSW"],
    "startUrls": [],
    "maxJobsPerSearch": 50,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=arcadium/seek-jobs",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}

# pip install langchain-apify   (reads APIFY_API_TOKEN from the environment)
from langchain_apify import ApifyActorsTool

tool = ApifyActorsTool("arcadium/seek-jobs")
rows = tool.invoke({"run_input": {
    "keywords": ["data analyst"],
    "locations": ["Sydney NSW"],
    "startUrls": [],
    "maxJobsPerSearch": 50,
}})
# or give `tool` to an agent: create_react_agent(llm, [tool])

# pip install llama-index-readers-apify
import os
from llama_index.core import Document, VectorStoreIndex
from llama_index.readers.apify import ApifyActor

reader = ApifyActor(os.environ["APIFY_TOKEN"])
documents = reader.load_data(
    actor_id="arcadium/seek-jobs",
    run_input={
        "keywords": ["data analyst"],
        "locations": ["Sydney NSW"],
        "startUrls": [],
        "maxJobsPerSearch": 50,
    },
    dataset_mapping_function=lambda item: Document(text=str(item.get("description") or ""), metadata={"url": item.get("url")}),
)
index = VectorStoreIndex.from_documents(documents)

# pip install crewai crewai-tools langchain-apify   (reads APIFY_API_TOKEN from the environment)
from crewai import Agent
from crewai_tools import ApifyActorsTool

tool = ApifyActorsTool(actor_name="arcadium/seek-jobs")
researcher = Agent(
    role="Research analyst",
    goal="Answer with data collected by the tool",
    backstory="Uses public web data.",
    tools=[tool],
)

{
  "nodes": [
    {
      "name": "Run arcadium/seek-jobs",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [
        0,
        0
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/arcadium~seek-jobs/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\"keywords\":[\"data analyst\"],\"locations\":[\"Sydney NSW\"],\"startUrls\":[],\"maxJobsPerSearch\":50}",
        "options": {
          "timeout": 300000
        }
      }
    }
  ],
  "connections": {}
}

// Extensions > Apps Script. Store your token once: Project Settings > Script properties > APIFY_TOKEN.
function importLastRun() {
  const token = PropertiesService.getScriptProperties().getProperty('APIFY_TOKEN');
  const url = 'https://api.apify.com/v2/acts/arcadium~seek-jobs/runs/last/dataset/items?status=SUCCEEDED&clean=true&format=json';
  const res = UrlFetchApp.fetch(url, { headers: { Authorization: 'Bearer ' + token } });
  const rows = JSON.parse(res.getContentText());
  if (!rows.length) return;
  const keys = Object.keys(rows[0]);
  const values = rows.map((r) => keys.map((k) => (typeof r[k] === 'object' ? JSON.stringify(r[k]) : r[k])));
  const sheet = SpreadsheetApp.getActiveSheet();
  sheet.clearContents();
  sheet.getRange(1, 1, 1, keys.length).setValues([keys]);
  sheet.getRange(2, 1, values.length, keys.length).setValues(values);
}

Limitations

• Seek shows at most 550 jobs per search. Split large searches by place, postedWithinDays, workTypes or classificationIds.
• Pay is what the advertiser wrote; many ads hide it, and salary stays null when the text is not a clear amount or range.
• Company website, size and rating exist only for companies with a Seek profile.
• Ads that send you to the employer's site (applyOnSeek: false) do not expose the outside link.
• Place names are matched by Seek; check searchLocation to see what it matched.

FAQ

Why do some jobs have no company name? The ad was placed as "Private Advertiser", or the poster's name could be a private person's. We leave those out on purpose.

Do I pay more for the full description? No. includeDetails costs the same per job; turn it off only to make runs faster.

Something looks wrong in the output. Who do I tell? Open an issue on the actor page with the run link. We read them all.

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