Seek data scraping, Seek job search, Seek data extraction, Seekautomation, website scraping, web scraping, job data, labor market data, employment data, recruiting, staffing
You name the slice - classifications and sub-classifications, locations, work types, a listing-date window, a set of advertiser ids - and we build the crawl around it. Output arrives as CSV, JSON, XLSX or an API, on whatever schedule fits: daily suits most job feeds, more often where speed is the point.
Columns are named the way your systems expect, not the way we found them. Deduplication runs on the numeric job id. Rows are marked new, changed or expired between runs, so you can load deltas instead of reloading a full snapshot every time.
Maintenance is ours. When Seek shifts its markup or its query shape, that is our work to redo, not a ticket for your engineers.
A listing is addressed by a numeric identifier: seek.com.au/job/91356335. It is the join key for everything else and it survives editing and expiry. The fields below use Seek's own names:
Results come back 22 to a page, fixed in the query, so wide coverage means splitting the search space by classification, location and date.
Company profiles and reviews. A search result can carry an employer.companyUrl pointing at /companies/<slug>-<id> plus a companyProfileStructuredDataId. Those pages hold a description, an industry, listed perks and, where staff left them, star ratings and reviews. The detail query exposes companyReviews and companyTags next to the ad.
Screening questions. An ad can carry a questionnaire block: right to work in Australia, years of experience in the role, licences held, software used. It states the real requirements more sharply than the prose does, and it never appears in the description text.
Expired ads. An expired listing does not return 404. It keeps its identifier, status flips to Expired, isExpired goes true, and the share link the site generates moves to /expiredjob/<id>.
Personal data. Some ads name a contact. The record carries a phoneNumber field and a contactMatches array with entries such as type Phone and a number. We deliver commercial listing information only; named individuals and their direct contact details are excluded on request, set at the start of a project. Australia's Privacy Act 1988 is the regime covering personal information here, and how you use any of it is a decision for you and your own advisers.
Seek runs the job boards for Australia and New Zealand, and since the 2024 unification the same platform sits underneath Jobstreet and Jobsdb in Asia. For anyone building a pipeline, that matters more than the branding does, because the brands are skins over one system.
Hostnames moved. A request to www.seek.com.au now answers with HTTP 308 to au.seek.com, and www.seek.co.nz answers with 308 to nz.seek.com. Old links still land on the right record, but a crawler that does not follow redirects collects nothing at all.
One system, several brands. The robots.txt served by au.seek.com, nz.seek.com, my.jobstreet.com and hk.jobsdb.com is byte for byte the same file, comment lines included. The results page on each is driven by the same GraphQL operation, jobSearchV6, and the market is chosen by a sitekey value - AU on au.seek.com, NZ on nz.seek.com. Jobstreet Malaysia and Jobsdb Hong Kong return the same category vocabulary Seek uses in Australia, down to strings like Accounting and Administration & Office Support.
The practical effect is that a crawler written against seek.com.au ports to the sibling brands with a parameter change instead of a rewrite, and one schema covers the brands on it.
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Pay data that is not on the ad. A hirer must enter a structured pay range when posting, but SEEK's developer documentation says those monetary values only refine candidate searches and are not directly visible to candidates. What appears on the ad is a separate free-text field capped at 50 characters. That is why so many Seek ads show no salary, and why the ones that do read like $100k + super + bonus rather than a clean pair of numbers. Any pay benchmark on Seek has to parse that string and live with blank rows.
A rolling window, not an archive. A Seek ad runs 30 days. One archived listing carried a listedAt of 2024-11-07 and an expiresAt of 2024-12-07. Search exposes about a month of the market at any moment, and postings you missed cannot be recovered later.
Who is actually hiring. isPrivateAdvertiser separates ads placed under a concealed employer name from branded ones, and isLinkOut marks ads that push applications to the employer's own site. Those two flags decide whether a row belongs in an agency-versus-employer count.
It is already an official input. Jobs and Skills Australia builds its Internet Vacancy Index from ads lodged on Seek, CareerOne and Workforce Australia, coded to four-digit ANZSCO. Seek's own classification is not ANZSCO, so lining a private feed up with the public labour market series takes a mapping step.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt is a managed scraping team. We build the crawler, run it, watch it and hand over clean data on a schedule. Nothing to host, nothing to babysit, no parser to repair when the markup shifts.
Scope and method are agreed before anything is built. Seek's robots.txt disallows */job/, /graphql and all query strings for every user agent, so we put that in front of you at the scoping stage rather than after the invoice.
SEEK runs a GraphQL API, but it is a partner API for hirers and recruitment software, documented at developer.seek.com. An approved partner can post, update and query their own ads - positionTitle, jobCategories, positionLocation, offeredRemunerationPackage and so on - and those PositionProfile objects are dropped 180 days after the ad closes. It is not a way to read the board. The public site's own GraphQL endpoint is listed under Disallow in robots.txt. Bulk listing data comes from a crawl, not from an API key.
Not the listing. A request to au.seek.com/job/
No. The structured range a hirer enters drives Seek's salary filter, and SEEK's own documentation says those monetary values are not directly visible to candidates. What is published is the salaryLabel field, free text capped at 50 characters, which many advertisers leave empty. We return salaryLabel exactly as written and, if you want it, a parsed minimum, maximum and period derived from that string with a confidence flag on each row. Blank stays blank; we do not invent a figure to fill a column.
A Seek ad runs 30 days from posting, so search only ever exposes about a month of the market and there is no public archive to backfill from. If you need a time series, the honest answer is to start capturing now and let it accumulate; every row is stamped with listingDate and the collection run time so the series is usable from the first week. Identifiers you already hold keep resolving at /expiredjob/
Yes, and it is largely the same build. Since the 2024 unification, au.seek.com, nz.seek.com, my.jobstreet.com and hk.jobsdb.com serve an identical robots.txt and the same search payload shape, with the market selected by a sitekey value such as AU or NZ. The two-level classification vocabulary is shared, so Accounting on Jobstreet Malaysia lines up with Accounting on Seek without a crosswalk table. One schema covers Australia, New Zealand and the Asian brands.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
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