SEEK Australia Jobs Scraper

SEEK Australia Jobs Scraper creates a structured dataset of job listings collected from SEEK Australia. Each dataset item represents one job (or, when a company URL is used, one company) and can include title, advertiser, location, work type, salary, listing date, optional full job details, an optional nested company profile, and optional nested reviews. Query the source with keywords (searchQueries), an optional location, or SEEK search, job, or company URLs (startUrls). Control the result limit with maxItems, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

Dataset at a glance

Property	Value
Source	au.seek.com
Record unit	One SEEK job, or one company when a company URL is the seed
Input methods	Keywords (searchQueries) and/or SEEK search, job, or company URLs (startUrls)
Main identifiers	jobId, job URL (url); company records use companyId
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML, HTML (Apify dataset exports)
Update model	Fresh records per Actor run
Pricing	$1 / 1,000 jobs; +$1 / 1,000 job details; +$1 / 1,000 company details; +$1 / 1,000 reviews; Actor start $0.00005

Coverage and available records

The Actor collects public SEEK Australia listings from one or both entry points. When both are set, the seeds are combined.

• Search-based: searchQueries (for example python developer) resolve against location (for example Sydney NSW 2000). Leave location empty to search all of Australia. Leave searchQueries empty and set location to list jobs in that place.
• URL-based: startUrls accepts SEEK search result pages, job pages (https://au.seek.com/job/93791035), or company profiles (https://au.seek.com/companies/coles-group-433124).

Search filters (all optional):

• workTypes: full-time, part-time, contract, casual
• workArrangements: on-site, hybrid, remote
• classifications: SEEK classification keys such as information-communication or healthcare
• salaryType plus salaryMin / salaryMax in AUD (annual, monthly, hourly)
• listedAt: today, 3d, 7d, 14d, 30d (empty = any time)

Record types and limits:

• Listing-level jobs are always collected: identifiers, title, advertiser, location, work type, salary label, and listed date.
• Job details are conditional: full description and extra fields are returned when scrapeJobDetails is enabled (default true) and charged as the job-details event.
• Company profile is conditional: a nested company object is returned when scrapeCompanyDetails is enabled (default false) and charged once per unique company.
• Reviews are conditional: a nested reviews array is returned when scrapeCompanyReviews is enabled (default false) and charged per review. maxReviewsPerCompany caps reviews per company (0 = all).
• Result cap: maxItems limits job records (0 means unlimited; console prefill 20). Company details and reviews nest on those records.

Known exclusions: content SEEK only shows after login is not collected; each run captures listing state at run time (no historical snapshots); markets outside SEEK Australia are not collected.

Data dictionary

Field names below match dataset record JSON properties exactly. Fields marked conditional appear only when the corresponding input toggle is enabled.

Job listing fields

Field	Type	Nullable	Description	Example
recordType	string	No	Record kind (job or company)	job
jobId	string	Yes	SEEK job identifier; recommended deduplication key for jobs	94231469
sourceQuery	string	Yes	Search keyword or URL that produced the record	python developer
title	string	Yes	Job title	Software Developer
url	string	Yes	Job page URL; secondary key	https://au.seek.com/job/94231469
abstract	string	Yes	Short listing summary	Full stack developer, Python and React on AWS...
advertiserName	string	Yes	Advertiser name	Life Insurance Partners Pty Ltd
organisationName	string	Yes	Organisation name	Life Insurance Partners Pty Ltd
companyId	string	Yes	SEEK company identifier when present	433124
location	string	Yes	Display location	Surry Hills, Sydney NSW
locationHierarchy	string[]	Yes	SEEK location path	["Surry Hills NSW 2010", "All Sydney NSW", "New South Wales NSW"]
classifications	object[]	Yes	SEEK categories: {id, name}	[{"id": "6287", "name": "Developers/Programmers"}]
workTypes	string[]	Yes	Work type labels	["Full time"]
workArrangements	string[]	Yes	Workplace labels	["On-site"]
salaryLabel	string	Yes	Salary text as shown by SEEK	$80,000 – $110,000 per year
salaryMin	number	Yes	Numeric minimum in AUD when disclosed	80000
salaryMax	number	Yes	Numeric maximum in AUD when disclosed	110000
salaryCurrency	string	Yes	Currency code when disclosed	AUD
listedAt	string	Yes	Listed timestamp (ISO 8601)	2026-08-27T03:01:12.000Z
listedAtLabel	string	Yes	Relative listed label	2d ago

Job detail fields (conditional — scrapeJobDetails)

Field	Type	Nullable	Description	Example
descriptionHtml	string	Yes	Full job description HTML	<p><strong>About us:</strong> ...
isExpired	boolean	Yes	Whether SEEK marks the job expired	false
isVerified	boolean	Yes	Whether SEEK marks the listing verified	true

Company and review fields (conditional)

company is populated when scrapeCompanyDetails is enabled. reviews is populated when scrapeCompanyReviews is enabled. Company-URL seeds can also write a standalone recordType: "company" item.

Field	Type	Nullable	Description	Example
company	object	Yes	Nested profile: name, website, size, industry, location, ratings	See example when details are on
reviews	object[]	Yes	Nested reviews: {reviewId, title, pros, cons, overallRating, recommended, createdAt, ...}	See example when reviews are on

Example dataset record

Job from keyword python developer in Sydney NSW 2000 with scrapeJobDetails on and company/review enrichment off.

{
  "recordType": "job",
  "jobId": "94231469",
  "sourceQuery": "python developer",
  "title": "Software Developer",
  "url": "https://au.seek.com/job/94231469",
  "abstract": "Full stack developer, Python and React on AWS. Small flat team, AI use, and real ownership.",
  "advertiserName": "Life Insurance Partners Pty Ltd",
  "organisationName": "Life Insurance Partners Pty Ltd",
  "companyId": null,
  "location": "Surry Hills, Sydney NSW",
  "locationHierarchy": ["Surry Hills NSW 2010", "All Sydney NSW", "New South Wales NSW"],
  "classifications": [
    {"id": "6287", "name": "Developers/Programmers"},
    {"id": "6281", "name": "Information & Communication Technology"}
  ],
  "workTypes": ["Full time"],
  "workArrangements": ["On-site"],
  "salaryLabel": "$80,000 – $110,000 per year",
  "salaryMin": 80000,
  "salaryMax": 110000,
  "salaryCurrency": "AUD",
  "listedAt": "2026-08-27T03:01:12.000Z",
  "listedAtLabel": "2d ago",
  "descriptionHtml": "<p><strong>About us:</strong> Sustainable Life Group is a dynamic and fast-growing general advice licensee...</p>",
  "isExpired": false,
  "isVerified": true,
  "company": null,
  "reviews": []
}

The record above was produced with this input:

{
  "searchQueries": ["python developer"],
  "location": "Sydney NSW 2000",
  "maxItems": 20,
  "scrapeJobDetails": true,
  "scrapeCompanyDetails": false,
  "scrapeCompanyReviews": false
}

Query and input reference

Input	Type	Required	Default	Accepted values	Description
searchQueries	array (string)	No	[] (prefill python developer)	Job keywords	Search entry point
location	string	No	— (prefill Sydney NSW 2000)	SEEK location label	Empty = all of Australia
startUrls	array (requestListSources)	No	[]	SEEK search, job, or company URLs	URL entry point
workTypes	array (string)	No	[]	full-time, part-time, contract, casual	Work-type filter
workArrangements	array (string)	No	[]	on-site, hybrid, remote	Workplace filter
classifications	array (string)	No	[]	SEEK classification keys	Category filter
salaryType	string	No	""	"", annual, monthly, hourly	How to interpret salary min/max
salaryMin	integer	No	—	≥ 0 AUD	Minimum salary for the selected type
salaryMax	integer	No	—	≥ 0 AUD	Maximum salary for the selected type
listedAt	string	No	""	"", today, 3d, 7d, 14d, 30d	Recency window
scrapeJobDetails	boolean	No	true	true / false	Attach full description (charged as job details)
scrapeCompanyDetails	boolean	No	false	true / false	Attach nested company profile (charged once per company)
scrapeCompanyReviews	boolean	No	false	true / false	Attach nested reviews (charged per review)
maxReviewsPerCompany	integer	No	0	0 or any positive integer	Review cap per company; 0 = all
detailConcurrency	integer	No	8	1–20	Parallel detail / company / review requests
maxItems	integer	No	0	0 or any positive integer	Maximum jobs; 0 = unlimited (console prefill 20)
proxyConfiguration	object	No	Apify proxy, RESIDENTIAL	Apify proxy groups or custom proxies	Residential proxies are recommended

Minimal request:

{ "searchQueries": ["python developer"], "location": "Sydney NSW 2000" }

Advanced request (filters plus company reviews):

{
  "searchQueries": ["registered nurse"],
  "location": "Melbourne VIC",
  "workTypes": ["full-time"],
  "workArrangements": ["on-site"],
  "listedAt": "7d",
  "scrapeJobDetails": true,
  "scrapeCompanyDetails": true,
  "scrapeCompanyReviews": true,
  "maxReviewsPerCompany": 10,
  "maxItems": 20
}

Retrieve the data through the API

Records are delivered through the Apify Actor and Dataset APIs — not an official SEEK API.

1. Start the Actor with a JSON input (console or API).
2. Wait for the run to finish, or use a synchronous endpoint if you want the response inline.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset.

Python example:

from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run_input = {
    "searchQueries": ["python developer"],
    "location": "Sydney NSW 2000",
    "maxItems": 20,
    "scrapeJobDetails": True,
}

run = client.actor("datascrapers/seek-au-jobs-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("jobId"), item.get("title"), item.get("salaryLabel"))

Apify generates ready-to-run Python, JavaScript, and cURL examples on the Actor's API tab. Do not put a real API token in shared code or URLs.

Data quality and record handling

• Conditional fields: descriptionHtml depends on scrapeJobDetails. company and reviews depend on their toggles. Listing-only runs (scrapeJobDetails: false) return a leaner job record.
• Source changes: SEEK page structure and values can change; unreadable fields are omitted or returned as null rather than fabricated.
• Deduplication: within a run, jobs are identified by jobId. Company details are charged once per unique company. Across runs, records are appended.
• Failures: one failed job or company request does not stop the run. The run stops if a spending limit is reached.
• Normalization: salaryMin / salaryMax are numeric AUD when SEEK discloses pay. listedAt is ISO 8601. Salary labels and work-type text come from SEEK.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL / Supabase	Dataset API poll or webhook consumer	Store jobs and salary bands
Google Sheets	Apify Google Sheets integration	Share shortlists for recruiters
ATS / CRM	Dataset API or completion webhook	Candidate-market monitoring
S3 / cloud storage	Scheduled export via Apify scheduler + integration	Archival of hiring snapshots

Pricing and cost examples

The Actor uses pay-per-event pricing. Each run also charges a one-time Actor start. Residential proxies are recommended. Proxy and compute are billed by your Apify plan. Event charges may be tiered on Apify paid plans.

Event	Trigger	Rate
Actor start	Once per run	$0.00005
job (Job scraped)	Each job listing written	$0.001 / job ($1 / 1,000)
job-details (Job Details)	Full description collected (scrapeJobDetails)	$0.001 / job ($1 / 1,000)
company-details (Company Details)	Company profile collected once per company	$0.001 / company ($1 / 1,000)
company-reviews (Company Review)	Each nested review	$0.001 / review ($1 / 1,000)

Example costs (Actor start negligible; plan-tier discounts not applied):

Records	Configuration	Estimated base cost
1,000	Jobs only	$1.00
1,000	Jobs + job details	$2.00
1,000	Jobs + details + 1 company each + 5 reviews each	$8.00

Estimates depend on the verified pricing model and the options selected for the run.

Limitations and responsible data use

• The Actor collects publicly accessible SEEK Australia data only.
• Field availability depends on what SEEK renders at run time; salary and company fields can be null.
• The Actor does not provide historical snapshots unless you store them yourself.
• Large runs should use residential proxies; without them, coverage may degrade.
• You are responsible for compliance with SEEK's terms of service, applicable privacy law, and any contractual obligations before using the data.

Dataset questions

What does one dataset item represent?

Usually one SEEK job. Company-URL seeds can write a recordType: "company" item. Reviews never become separate dataset rows; they nest on the job or company record.

Which field should I use as a unique identifier?

jobId for jobs. companyId for company records. url is a reasonable secondary key.

Are fields nullable or conditional?

Yes. Job-detail, company, and review fields exist only when their toggles are enabled. companyId and salary numbers are null when SEEK does not disclose them.

Can I retrieve the records as CSV or JSON?

Yes. The dataset can be exported as JSON, CSV, Excel, XML, or HTML from the Apify Console, and queried through the Dataset API. Nested company and reviews flatten according to the export format.

Does the Actor return historical data?

No. Each run captures listing state at run time. To track new jobs or salary changes, schedule repeated runs and store the outputs yourself.

What counts as a billable result?

Actor start once per run ($0.00005), a job charge per job ($0.001), a job-details charge when details are collected ($0.001), a company-details charge once per unique company ($0.001), and a company-reviews charge per review ($0.001).

Related datasets from Data Scrapers

• Naukri Job Scraper — India job listings for the same hiring-market pipelines.
• Dice Job Scraper — US tech job listings that can be compared with SEEK ICT roles.
• LinkedIn Job Scraper — LinkedIn jobs for cross-board coverage of the same titles.
• Glassdoor Jobs Scraper — Jobs plus employer ratings that pair with SEEK company reviews.
• ZipRecruiter Scraper — US job listings for broader English-language hiring analysis.
• StepStone Jobs Scraper — European job listings for multi-market staffing research.

Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.