CareerBliss Reviews Scraper [Just 💰$0.59] — Employee Ratings

What does CareerBliss Reviews Scraper do?

CareerBliss Reviews Scraper extracts employee reviews from careerbliss.com company pages — review text, overall and category ratings, job title and location per review, plus company-level ratings and a company-level salary aggregate. Name a company or paste its reviews URL, optionally add a location filter and a result limit, so you can run the same company consistently over time.

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Key features

• 💬 Full review text: reviewText with what the employee wrote, plus reviewId and reviewUrl so every review can be deduplicated and opened on careerbliss.com (portalUrl).
• 💼 Job title and location per review: jobTitle and location (with locationUrl) show which role and which city each review comes from, so you can compare teams and sites.
• ⭐ Overall and category ratings: rating per review plus categoryRatings — eight scores: the person you work for, the people you work with, work setting, support, rewards, growth opportunities, company culture and the way you work.
• 🏢 Company averages: companyName, aggregateRating, aggregateReviewCount and companyStats (rating distribution, category averages, recommend share) on every record.
• 💵 Salary figures: averageSalary and hourlyRate from the company's reviews page, next to the reviews that explain them. These are COMPANY-level values (also in companyStats.salary), repeated unchanged on every review row of that company — not the salary of the individual reviewer.
• 📧 Company contact emails: turn on enrichEmails to add the company's own website (contactWebsite) and the public contact emails found on it (contactEmail, contactEmails) to its reviews.
• 🔍 Company search: name a company in query, optionally a city in location, and get its reviews.
• 🔗 Paste-mode: paste careerbliss.com company review URLs into startUrls to scrape exactly the pages you picked in the browser.
• ♻️ Incremental mode: recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new reviews" alerts on the companies you track. Saves 80–95% on daily monitoring.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Careerbliss reviews" pings to your team channel.
• 🔌 MCP connectors: export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from careerbliss.com?

Each result is one employee review and includes core review fields (listingId, review_id, job_title, rating, review_text, aggregate_rating, aggregate_review_count, and title, and more), extended fields (detailFetched), and company metadata (company_name, companyName, companySlug, and companyId). averageSalary and hourlyRate are company-level values repeated on each review row of that company. In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Company name or careerbliss.com company slug (e.g. "best-buy"). Required if no startUrls provided.
• location — Optional city filter, e.g. "Charlotte, NC".
• maxResults — Maximum total results (0 = unlimited). (default: 100)
• enrichEmails — Off by default. Looks up each company's own website and reads its homepage and a few contact pages for public contact emails. Adds contactWebsite, contactEmail and contactEmails to every review of that company. Checked once per company per run; adds a few seconds per company. (default: false)
• startUrls — Paste careerbliss.com company review page URLs (e.g. https://www.careerbliss.com/best-buy/reviews/). Each URL becomes its own task; results are merged and deduped by review ID. When provided, startUrls REPLACE the company/location fields. (default: [])
• descriptionMaxLength — Truncate review text to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from search inputs (queries, locations, startUrls) so different filter sets never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• skipReposts — When incremental, skip listings whose content matches an expired listing from a prior run (cross-run duplicate detection). (default: false)
• emitUnchanged — When incremental mode is on, also emit listings whose content has not changed since the last run. (default: false)
• ...and 15 more parameters

Input examples

Basic search — Reviews of one company with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "Best Buy",
  "maxResults": 50
}

Incremental tracking — Only emit reviews that are new or changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "Best Buy",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "best-buy-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "Best Buy",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured review records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example review record

{
  "listingId": "2e38685e55c0d5325e3ac5b8b7fbf6be9eecd6cea77864b5575a1f8146504256",
  "review_id": "2092122",
  "company_name": "Starbucks",
  "job_title": "Starbucks Employee",
  "rating": 3.6,
  "review_text": "As a Shift Supervisor at Starbucks, I was responsible for overseeing a team of baristas and ensuring that daily operations were running smoothly. The salary for this position was fair, and I appreciat...",
  "source_url": "https://www.careerbliss.com/starbucks/reviews/anonymous-employee/#2092122",
  "aggregate_rating": 3.9,
  "aggregate_review_count": 204,
  "title": "Starbucks Employee",
  "entityName": "Starbucks",
  "reviewId": "2092122",
  "reviewUrl": "https://www.careerbliss.com/starbucks/reviews/anonymous-employee/#2092122",
  "companyName": "Starbucks",
  "companySlug": "starbucks",
  "companyId": "326",
  "jobTitle": "Starbucks Employee",
  "jobTitleId": "1",
  "jobTitleSlug": "anonymous-employee",
  "reviewText": "As a Shift Supervisor at Starbucks, I was responsible for overseeing a team of baristas and ensuring that daily operations were running smoothly. The salary for this position was fair, and I appreciat...",
  "reviewBody": "As a Shift Supervisor at Starbucks, I was responsible for overseeing a team of baristas and ensuring that daily operations were running smoothly. The salary for this position was fair, and I appreciat...",
  "categoryRatings": {
    "personYouWorkFor": 4,
    "peopleYouWorkWith": 3,
    "workSetting": 5,
    "supportYouGet": 4,
    "rewardsYouReceive": 5,
    "growthOpportunities": 2,
    "companyCulture": 4,
    "wayYouWork": 2
  },
  "aggregateRating": 3.9,
  "aggregateReviewCount": 204,
  "averageSalary": 30000,
  "hourlyRate": 14,
  "companyStats": {
    "averageRating": 3.9,
    "ratedReviews": 204,
    "totalReviews": 326,
    "ratingDistribution": {
      "fiveStars": 30,
      "fourStars": 39,
      "threeStars": 25,
      "twoStars": 5,
      "oneStar": 1
    },
    "categoryRatings": {
      "personYouWorkFor": 4,
      "peopleYouWorkWith": 4.4,
      "workSetting": 4,
      "supportYouGet": 3.8,
      "rewardsYouReceive": 3.4,
      "growthOpportunities": 3.4,
      "companyCulture": 3.9,
      "wayYouWork": 4.1
    },
    "recommendPercent": 94,
    "salary": {
      "averageSalary": 30000,
      "hourlyRate": 14,
      "nationalAverageSalary": 66000,
      "vsNationalPercent": -55,
      "salaryReports": 113,
      "highestPayingJob": {
        "jobTitle": "Regional Director",
        "salary": 150000
      },
      "lowestPayingJob": {
        "jobTitle": "Product Flow Team Member",
        "salary": 14000
      }
    }
  },
  "sourceUrl": "https://www.careerbliss.com/starbucks/reviews/",
  "portalUrl": "https://www.careerbliss.com/starbucks/reviews/anonymous-employee/#2092122",
  "contactWebsite": "https://starbucks.com/",
  "contactEmail": "press@starbucks.com",
  "contactEmails": [
    "press@starbucks.com",
    "pressemea@starbucks.com",
    "investorrelations@starbucks.com",
    "partnerships@starbucks.com"
  ],
  "page": 1,
  "searchQuery": "Starbucks",
  "contentQuality": "serp_only",
  "detailFetched": false,
  "scrapedAt": "2026-10-18T22:20:04.734Z",
  "source": "careerbliss.com",
  "contentHash": "dc25a5938e8f86bb929ba612f8ea8b01176380c2b5764329d88c759ccbd2a1eb"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• EXPIRED rows (only on a complete, uncapped incremental run with emitExpired: true) are compact tombstones for reviews no longer listed: listingId, changeType, firstSeenAt, lastSeenAt, expiredAt, contentHash. They are charged like any other result and count toward maxResults.
• isRepost, repostOfId, repostDetectedAt — populated when a new record matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape careerbliss.com

1. Go to CareerBliss Reviews Scraper in Apify Console.
2. Enter a company name (or paste its careerbliss.com reviews URL) and an optional location filter.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract employee reviews from careerbliss.com for employer research and competitive analysis.
• Track a company's average salary, hourly rate and ratings over time (company-level figures from its reviews page).
• Monitor new and changed reviews on scheduled runs without processing the full dataset every time.
• Compare employers by overall rating, category ratings and recommend share.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Collect ratings and reviews for reputation monitoring and benchmarking.

How much does it cost to scrape careerbliss.com?

CareerBliss Reviews Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.00059 per review record

Example costs:

• 10 results: $0.016
• 25 results: $0.025
• 100 results: $0.069
• 200 results: $0.13
• 500 results: $0.31

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of reviews that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 reviews per run, daily polling (30 runs/month). Costs scale linearly with the number of reviews.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.16	$0.02	$0.14 (89%)	$0.52
15% — moderate broad query	$0.16	$0.03	$0.13 (80%)	$0.97
30% — high-volume aggregator	$0.16	$0.05	$0.10 (66%)	$1.64

Full re-scrape monthly cost at the same cadence: $4.75. First month with incremental costs $0.66 / $1.09 / $1.74 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from careerbliss.com?

The number of results depends on the company and how many reviews careerbliss.com shows for it. Use the maxResults parameter to control how many results are returned per run.

Does CareerBliss Reviews Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed reviews on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate CareerBliss Reviews Scraper with other apps?

Yes. CareerBliss Reviews Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use CareerBliss Reviews Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use CareerBliss Reviews Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape careerbliss.com?

This actor extracts publicly available data from careerbliss.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on careerbliss.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with CareerBliss Reviews's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by CareerBliss Reviews or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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