SEEK Scraper: Company Reviews, Ratings and Culture Data for Australia and New Zealand

SEEK Scraper pulls company review data from au.seek.com and nz.seek.com, the two largest job platforms in their markets. Get a company's overall rating, five-star distribution, per-category sub-ratings, recommended percentage, salary perception score, AI-generated review summary, perks and awards, plus its individual reviews with pros, cons, long-form experience details and reviewer context. Choose one row per company with top reviews embedded, or one row per individual review for sentiment and NLP pipelines. Search by company name, browse an industry, or paste company links; region is detected automatically per link so Australian and New Zealand companies can be mixed in one run. Export to JSON, CSV or Excel, or pull results straight into your app through the API.

Why This Scraper?

• Two record grains from one input: company aggregates with embedded top reviews, or one row per individual review.
• Rich per-company fields: overall rating, five-star distribution, six per-category sub-ratings (work-life balance, career development, benefits, management, environment, diversity), recommended percent, salary perception score, branding, an AI-generated review summary, perks and awards.
• Full review record: title, pros, cons, long-form experience details, reviewer job title, employment status, salary perception, per-category ratings, upvotes and review date.
• Optional embedded open jobs: switch on includeJobs to add each company's currently listed positions to its record in the same run.
• Deep review history on demand: 5 reviews embedded per company by default, or fetch hundreds by raising the review cap.
• Region auto-detected per URL, so Australian and New Zealand company links can be mixed freely in one run.
• Built for monitoring: Incremental mode returns only new and changed records on recurring runs, Resume continues one interrupted run without re-collecting what it already has, and a blocked or empty run still finishes cleanly with a status message instead of erroring out.

Use Cases

• Employer branding and HR teams: track how your own company's SEEK rating, recommend percent and pros/cons shift over time.
• Recruiters and talent teams: check a target employer's culture signals before placing a candidate or accepting a role.
• Market researchers: build a comparison set of employee sentiment across an industry or a named shortlist of companies.
• Sentiment and NLP pipelines: feed individual review text (title, pros, cons, experience details) into classification or theme-extraction workflows.
• Competitive analysis: compare a company's ratings and hiring volume, via the optional open-jobs embed, against named competitors.

Data You Get

Sample shape: values are illustrative placeholders, not from a live profile.

Shown below: companies mode (the default), one row per company.

Field	Example
id	"610233"
slug	"sample-company-610233"
url	"https://au.seek.com/companies/sample-company-610233"
region	"AU"
name	"Sample Company Pty Ltd"
isClaimed	true
logoUrl	"https://image-service-cdn.seek.com.au/610233/logo"
coverImageUrl / brandId / customStatement	branding fields, present on every company record whether or not includeJobs is on
totalJobs	42
ratingOverall	3.7
reviewCount	128
salaryRating	3
recommendedPercent	64
ratingBreakdown	{ "companyRating1StarCount": 6, ..., "companyRating5StarPercentage": 21.1 }
categoryRatings	[ { "rating": 3.8, "count": 128, "description": "Work/Life balance" }, ... ]
aiSummary	{ "headline": "Supportive teams, slower promotion track", "summary": "Generated summary text appears here.", "pros": "...", "cons": "...", "themes": [...] }
perks	[ "Flexible working hours", "Study leave", "Staff discount" ]
awards	[ { "name": "Sample Employer Award", "year": "2025" } ]
topReviews	[ <up to maxReviewsPerCompany review objects, shape below> ]
topReviewCount	1
scrapedAt	"2026-03-14T02:15:00.000Z"

Every company record carries coverImageUrl, brandId and customStatement (extra branding fields), whether or not includeJobs is on. When includeJobs is on, each company record also gets a jobs array of the company's currently listed positions, each with id, url, title, teaser, salaryLabel, workTypes, location, classifications, bulletPoints, listingDate, advertiserName and employerCompanyId, and a jobsEmbeddedCount count. In reviews mode, each row is a single review instead: reviewId, companyId, companyName, companySlug, region, url, title, pros, cons, overallExperienceDetails, jobTitle, workLocation, employmentStatus, salarySummary, recommended, recommendedLabel, overallRating, ratings, upvotes, createdAt, hasBeenFlagged and scrapedAt.

How to Use

1. Pick a mode: companies (one row per company, top reviews embedded) or reviews (one row per individual review).
2. Choose a source: paste company URLs, or set keywords, industry, or both to discover companies.
3. Set the review depth and any optional toggles (AI summary, open jobs), then set Max items to cap run size and cost.
4. Click Start, then download the dataset as JSON, CSV or Excel, or read it through the API.

Search for a company by keyword (companies mode):

{
  "mode": "companies",
  "region": "AU",
  "keywords": "atlassian",
  "industry": "",
  "maxReviewsPerCompany": 5,
  "maxItems": 5,
  "proxyConfiguration": { "useApifyProxy": true }
}

The industry field defaults to a specific industry category even when you don't set it, and combining a keyword with an industry narrows to matching names inside that industry only, so a keyword-only search must explicitly set "industry": "" to search company names generally rather than inside the default industry.

Pull the most recent reviews for a company by URL (reviews mode):

{
  "mode": "reviews",
  "urls": [{ "url": "https://au.seek.com/companies/coles-group-433124" }],
  "maxReviewsPerCompany": 20,
  "reviewSort": "recent",
  "maxItems": 20
}

Browse New Zealand companies by keyword:

{
  "mode": "companies",
  "region": "NZ",
  "keywords": "Air New Zealand",
  "industry": "",
  "maxReviewsPerCompany": 3,
  "maxItems": 1
}

Companies mode with embedded open jobs:

{
  "mode": "companies",
  "urls": [{ "url": "https://au.seek.com/companies/coles-group-433124" }],
  "maxReviewsPerCompany": 3,
  "includeJobs": true,
  "maxJobsPerCompany": 20,
  "maxItems": 1
}

Run it from your code

Python:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("abotapi/seek-companies-reviews-scraper").call(run_input={"mode": "companies", "keywords": "atlassian", "industry": "", "maxItems": 5})
for company in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(company["name"], company["ratingOverall"], company["reviewCount"])

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('abotapi/seek-companies-reviews-scraper').call({ mode: 'companies', keywords: 'atlassian', industry: '', maxItems: 5 });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Or connect it to Make, Zapier, n8n, Google Sheets or webhooks from the Integrations tab.

Review and job depth

maxReviewsPerCompany controls both grains: in companies mode it is how many top reviews are embedded per company (default 5); in reviews mode it is the cap per company. Setting it to 0 does not mean unlimited, it falls back to the same default of 5; raise it to an explicit number to fetch deeper history a page at a time. maxJobsPerCompany (companies mode, includeJobs on) caps the embedded jobs array the same way (default 50); setting it to 0 does not pull every open job either, it falls back to 20, which is actually lower than the default, so leave it at a real number rather than 0.

Resume and recurring updates

• Resume (resumeFromRunId) continues one specific interrupted or previous run: paste its run id or dataset id and this run skips records it already collected there, so pasted URLs are not re-fetched or re-billed on a resumed companies-mode run (matching is by the company's own id, which is parsed directly from the URL, so a pasted link is recognized without needing to fetch it first). In reviews mode, each company's page is still fetched, but individual reviews already seen (matched by reviewId) are not re-pushed or re-billed.
• Incremental mode (incrementalMode) is for scheduling the same mode/query repeatedly: the actor remembers the previous run itself, so you never paste a run id. The first run returns everything as NEW. Later runs return only NEW, UPDATED and REAPPEARED by default; UNCHANGED records are suppressed and not billed unless emitUnchanged is on. State is isolated per mode and per URLs/keywords/industry/reviewSort/includeJobs/includeAISummary setup; set stateKey to name or deliberately share a campaign.
• REAPPEARED and EXPIRED in detail: EXPIRED (companies mode only) is only produced once a run has fully scanned its tracked URLs/keywords/industry, with emitExpired on, and was not capped by Max items or Max run time and did not use Resume. That same condition is also what marks a company as "gone" in the stored state; if emitExpired has never been turned on, no company is ever marked gone, so REAPPEARED cannot occur either, since it only fires for a company that state says is currently gone. Reviews mode never produces EXPIRED: its review sample is a bounded top-N per company, not an exhaustive scan, so an absent review in one run's sample is not reliable evidence it was deleted.
• Jobs and change detection: jobs is always returned in full on every row when includeJobs is on, but a capped job list (more open roles than maxJobsPerCompany, the common case at the default of 50) is excluded from change detection entirely, since SEEK's job list can reorder between requests. When a company's full job list fits under the cap, jobs is compared by its set of ids and a genuine add or remove still surfaces as UPDATED.

Send results into your apps (MCP connectors)

Optionally pipe the scraped results into the apps you already use, via Model Context Protocol (MCP) connectors. This is an extra delivery step after the scrape, the Apify dataset is never changed.

What gets written to the connector: a condensed, human-readable summary of each record, not the full JSON. Each item becomes one entry with a title and its key fields flattened to plain text. The complete record always stays in the Apify dataset.

1. Authorize a connector once under Apify → Settings → Integrations (Notion, Linear, Airtable, or Apify).
2. Select it in the "Pipe results into your apps" input field. (If the picker is empty, you haven't authorized a connector yet.)
3. For Notion, also set notionParentPageUrl to the page where items should be created.

The connection is mediated by Apify's MCP proxy, so this actor never sees your third-party credentials. Leave the field empty to skip.

Input Parameters

Parameter	Type	Default	Description
mode	string enum	"companies"	"companies" (one row per company, top reviews embedded) or "reviews" (one row per individual review).
region	string enum	"AU"	"AU" (au.seek.com) or "NZ" (nz.seek.com). Auto-detected per URL when urls is set.
urls	array	[]	SEEK company URLs. Overrides keywords/industry when set. The Console prefills one example URL to try it quickly.
keywords	string	(none)	Company-name keyword search. Ignored if urls is set. Combined with industry, narrows that industry's browse list to matching names.
industry	string enum	"Mining, Resources & Energy"	Browse up to 30 companies in a SEEK industry category. For keyword-only or URL-only sourcing, explicitly set this to ""; omitting it from an API call still fills in the default industry and narrows your keyword search to that industry's companies.
maxReviewsPerCompany	integer	5	Companies mode: top-N reviews to embed. Reviews mode: max reviews per company. 0 falls back to the same default of 5, not unlimited; set an explicit number to fetch deeper history.
reviewSort	string enum	"helpful"	"helpful" (most upvoted first) or "recent" (newest first).
includeAISummary	boolean	true	Companies mode only. Adds SEEK's AI-generated review summary when available.
includeJobs	boolean	false	Companies mode only. Embeds a jobs array of the company's currently listed positions on each record.
maxJobsPerCompany	integer	50	Cap on jobs length when includeJobs is true. 0 does not mean unlimited, it falls back to 20, lower than the default; set an explicit number instead.
maxItems	integer	0	Total cap across all companies (reviews mode counts individual reviews). 0 = unlimited.
maxTimeSec	integer	0	Wall-clock cap; the actor flushes what it has and exits cleanly when exceeded. 0 = no time limit.
resumeFromRunId	string	(none)	Continue one specific interrupted or previous run: paste its run id or dataset id.
incrementalMode	boolean	false	Turn on for recurring monitoring of this same mode/query; see "Resume and recurring updates" above.
stateKey	string	(none)	Incremental mode only. Name a monitoring campaign, or deliberately share state across differently-configured runs.
emitUnchanged	boolean	false	Incremental mode only. Also return (and bill) records unchanged since the last run.
emitExpired	boolean	false	Incremental mode + companies mode only. Also return (and bill) companies from a previous run no longer resolved, once a run has fully scanned its targets.
proxyConfiguration	object	Apify Datacenter	Connection settings. For heavier workloads, set apifyProxyGroups to ["RESIDENTIAL"].
mcpConnectors	array	(none)	Optional: send a summary of each record to apps you authorized under Integrations.
notionParentPageUrl	string	(none)	Notion connector only: page under which records are created.
maxNotifyListings	integer	50	Cap on items written to each connector per run. Does not affect the dataset.

Output Example

Sample shape: values are illustrative placeholders, not from a live profile.

{
  "id": "610233",
  "slug": "sample-company-610233",
  "url": "https://au.seek.com/companies/sample-company-610233",
  "region": "AU",
  "name": "Sample Company Pty Ltd",
  "isClaimed": true,
  "logoUrl": "https://image-service-cdn.seek.com.au/610233/logo",
  "coverImageUrl": "https://image-service-cdn.seek.com.au/610233/cover",
  "brandId": "11111111-2222-3333-4444-555555555555",
  "totalJobs": 42,
  "ratingOverall": 3.7,
  "reviewCount": 128,
  "salaryRating": 3,
  "recommendedPercent": 64,
  "ratingBreakdown": {
    "companyRating1StarCount": 6,
    "companyRating1StarPercentage": 4.7,
    "companyRating2StarCount": 9,
    "companyRating2StarPercentage": 7.0,
    "companyRating3StarCount": 24,
    "companyRating3StarPercentage": 18.8,
    "companyRating4StarCount": 62,
    "companyRating4StarPercentage": 48.4,
    "companyRating5StarCount": 27,
    "companyRating5StarPercentage": 21.1
  },
  "categoryRatings": [
    { "rating": 3.8, "count": 128, "description": "Work/Life balance" },
    { "rating": 3.5, "count": 128, "description": "Career development" },
    { "rating": 3.9, "count": 128, "description": "Benefits & perks" },
    { "rating": 3.4, "count": 128, "description": "Management" },
    { "rating": 3.7, "count": 128, "description": "Working environment" },
    { "rating": 3.6, "count": 128, "description": "Diversity & equal opportunity" }
  ],
  "aiSummary": {
    "headline": "Supportive teams, slower promotion track",
    "summary": "Generated summary text appears here, drawn from recent reviews.",
    "pros": "Colleagues are described as friendly and management as approachable.",
    "cons": "Several reviewers note limited progression beyond entry-level roles.",
    "themes": ["teamwork", "career growth", "work-life balance"]
  },
  "perks": ["Flexible working hours", "Study leave", "Staff discount"],
  "awards": [{ "name": "Sample Employer Award", "year": "2025" }],
  "topReviews": [
    {
      "reviewId": "710004421",
      "companyId": "610233",
      "title": "Good team, slow to promote",
      "pros": "Friendly colleagues and flexible hours.",
      "cons": "Promotions can take a long time to come through.",
      "jobTitle": "Customer Service Officer",
      "workLocation": "Sample Suburb NSW 2000",
      "employmentStatus": "2 to 4 years in the role, current employee",
      "salarySummary": "Average",
      "recommended": true,
      "recommendedLabel": "Recommended",
      "overallRating": 4,
      "ratings": [
        { "category": "Work/Life balance", "rating": 4 },
        { "category": "Career development", "rating": 3 }
      ],
      "upvotes": 6,
      "createdAt": "9 March 2026",
      "hasBeenFlagged": false
    }
  ],
  "topReviewCount": 1,
  "scrapedAt": "2026-03-14T02:15:00.000Z"
}

Plan Requirement

The default proxy setting works out of the box. If a request is refused, that one company is skipped rather than retried on a different connection within the same run. For heavier or scheduled production workloads, switch to the Residential proxy group by setting apifyProxyGroups to ["RESIDENTIAL"] and apifyProxyCountry to "AU" or "NZ". Runs comfortably in 256 MB of memory.

FAQ

How much does it cost?

You pay per company or review row returned, depending on the mode. Embedding open jobs (includeJobs) adds a small extra charge, but only for a company record that is actually returned, never for one suppressed by Incremental mode even if its jobs were fetched to check for changes. The Pricing tab shows the current rates. Use Max items to cap the cost of any run.

Is it legal to scrape SEEK?

This actor collects only publicly available company and review data. You are responsible for how you use it: follow SEEK's terms and the laws that apply to you, and get legal advice if you plan commercial redistribution or further processing of reviewer-submitted content.

Can I get only new or changed companies and reviews on a schedule?

Yes. Schedule the actor from the Schedules tab and turn on Incremental mode. Each run then returns only new, updated and reappeared records, and unchanged ones are not billed.

Why did I get REAPPEARED or EXPIRED records I wasn't expecting?

Both only ever occur in companies mode, and only after a run with Emit expired companies turned on has completed a full, uncapped scan of your URLs/keywords/industry with no Resume. That is the only way a company is ever marked "gone" in the stored state; without it, no company can later be marked REAPPEARED either. Reviews mode never produces either state, since its review sample is a bounded top-N per company, not an exhaustive scan.

Why did my run finish with an empty dataset instead of failing?

This actor treats "nothing matched your search" and "every company failed to fetch" the same way: the run finishes with a clear status message explaining what happened, rather than erroring out, so a legitimate empty result is never confused with a crash. Check the status message and the run log for the specific reason, and try again if requests were refused.

Can I use it with AI agents or MCP?

Yes. Call it from any Apify integration or MCP client, and use the connector field to push results into Notion, Linear or Airtable.

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