JobStreet

What JobStreet $1💰 Companies can do

• Four Southeast Asian markets in one actor. Malaysia, Singapore, the Philippines and Indonesia, with the country auto-detected from every pasted URL.
• Two output shapes from one run. Get company aggregates with embedded top reviews, or one row per individual review.
• Deep review fields. Each review carries its title, pros, cons, full experience text, job title, employment status, work location, per-category star ratings, a recommended flag, upvotes and the review date.
• Rich company aggregates. Overall rating, review count, recommended percentage, salary perception, the full star distribution, per-category ratings, company size, perks, awards and an AI-written review summary when the company has published one.
• Full review history. Reviews beyond the first 30 are paginated automatically; on a 137-review company a test run returned all 137 reviews with no repeats, so the whole history is reachable, not just the front page.
• Open jobs on demand. Switch on Include open jobs to attach each company's current listings (title, location, salary text, work type, work arrangement, category, listing date and link) to its record.

Choose what to collect

These inputs let you configure JobStreet $1💰 Companies | Reviews Scraper. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "id": "000000000000000",
  "slug": "sample-company-000000000000000",
  "url": "https://my.jobstreet.com/companies/sample-company-000000000000000",
  "region": "MY",
  "name": "Sample Company",
  "industry": "Information & Communication Technology",
  "totalJobs": 42,
  "ratingOverall": 4,
  "reviewCount": 320,
  "salaryRating": 3,
  "recommendedPercent": 82,
  "ratingBreakdown": {
    "companyRating5StarCount": 90,
    "companyRating1StarCount": 12
  },
  "categoryRatings": [
    {
      "description": "Work/Life balance",
      "rating": 4,
      "count": 95
    },
    {
      "description": "Career development",
      "rating": 3,
      "count": 88
    }
  ],
  "perks": [
    "Medical coverage",
    "Annual bonus"
  ],
  "aiSummary": {
    "summary": "Reviewers describe a friendly team and manageable workload, with some noting slower promotions."
  },
  "topReviews": [
    {
      "reviewId": "000000000000001",
      "title": "Decent benefits, growth is slow",
      "pros": "Friendly colleagues and flexible working hours.",
      "cons": "Promotions can take a long time to come through.",
      "jobTitle": "Operations Executive",
      "overallRating": 4,
      "recommended": true,
      "createdAt": "1 January 2026"
    }
  ],
  "topReviewCount": 1,
  "jobs": [
    {
      "id": "000000000000002",
      "title": "Sample Job Title",
      "location": "Sample City",
      "salaryLabel": "Salary range shown here",
      "workTypes": [
        "Full time"
      ],
      "listingDateDisplay": "1d ago",
      "url": "https://my.jobstreet.com/job/000000000000002"
    }
  ],
  "jobsEmbeddedCount": 1,
  "scrapedAt": "2026-01-01T00:00:00.000Z"
}

Ways to use this data

• HR and employer-branding teams: benchmark your own review scores and star breakdown against competitors in the same market.
• Sentiment and NLP teams: pull one row per review to train or evaluate models on real employee feedback text.
• Recruitment agencies: cross-reference a company's review sentiment with its currently open jobs before reaching out to candidates.
• Market researchers: browse a whole industry in one run to compare pay perception and recommendation rates across many employers at once.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor