Seek Company Reviews Scraper

Seek Company Reviews Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed employee reviews of any company on Seek Australia & New Zealand.

Seek uses Cloudflare bot protection to stop you from getting its data.

Seek Company Reviews Scraper beats it, so you get the data, and can successfully complete your project.

$1 per 1,000 reviews. And with Apify's free plan you get $5 of credit every month, so your first ~5,000 reviews each month are free.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — 4.7 based on 30 reviews on Trustpilot.

👉 Try Seek Company Reviews Scraper free — your first ~5,000 reviews are Free.

What can I get

• 💬 Every employee review — headline, pros, cons and overall rating, newest first
• ⭐ Six category ratings — benefits, career development, work/life balance, environment, management & diversity
• 👤 Who wrote it — job title, work location, tenure, pay view & whether they recommend the company
• 🏢 Any company, AU & NZ — by name, Seek company link or ID, filtered by location

Why Seek Company Reviews Scraper

Most other review scrapers fail you in one of four ways:

• 🗄️ Inaccurate, cached, stale data
• 🧩 Low-detail data — a few fields per review, never the full picture
• 💸 Pay more to get the same data
• 🪦 Works today, breaks next month — nobody maintains it

Seek Company Reviews Scraper is scraped live on every run, priced honestly, and actively maintained.

Example: An Apple Employee Review

{
  "company_name": "Apple",
  "company_rating": 3.7,
  "company_review_count": 186,
  "title": "Perfect, splendid and challenging in good ways. Evolving and career focused.",
  "rating": 5,
  "job_title": "Sales Associate",
  "work_location": "Norway NSW 2787",
  "employment_status": "3 to 4 years in the role, former employee",
  "salary_summary": "Average",
  "is_recommended": true,
  "pros": "Great work environment, great learning and development experiences both for personal things, and career oppourunities",
  "cons": "Not a lot. Sometimes very slow and monotone working days.",
  "rating_benefits_perks": 5,
  "rating_career_development": 5,
  "rating_work_life_balance": 5,
  "rating_working_environment": 5,
  "rating_management": 5,
  "rating_diversity_equal_opportunity": 5,
  "created_at": "2026-02-16"
}

Every row is flat, so it exports cleanly to CSV and Excel.

Get Started with 5,000 Free Reviews

1. Hit Try for Free Button — the input is pre-filled with Apple and McDonald's.
2. Enjoy your data 😎.

Pricing

High value, Low price.

What	Price	What you get
Reviews	$1 per 1,000	headline, pros, cons, overall + 6 category ratings, job title, location, tenure, pay view, recommendation, company reply, date + the company's name, rating and review count

No start fee — you pay only for the reviews you get. Control your spend with Max reviews per company: 1,000 reviews ≈ $1.

💡 Apify's free plan includes $5 of credit every month — about 5,000 free reviews, every month.

👉 Scrape your first 5,000 reviews free

FAQ

How do I pick a company? Type its name (Seek's best match is used), paste its Seek company link, or give its Seek company ID.

Can I get only one city's reviews? Yes. Set Location to an area such as "Melbourne" or "All Sydney NSW".

Does it work for New Zealand? Yes. Paste a seek.co.nz company link, or set Seek site to New Zealand.

Run It from Code

Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/seek-company-reviews-scraper").call(run_input={
    "companies": ["Apple"],
    "maxReviewsPerCompany": 50,
})
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(review["rating"], review["title"], review["pros"])

Node.js (npm install apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/seek-company-reviews-scraper').call({
    companies: ["McDonald's"],
    location: 'Melbourne',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

💬 Have Questions? We Have Answers.

You're a business owner — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.

You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

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