# CareerBliss Reviews Scraper \[Just 💰$0.59] — Employee Ratings (`blackfalcondata/careerbliss-com-scraper`) Actor

Scrape employee reviews from careerbliss.com by company name or company reviews URL. Each review carries the reviewer's job title and star rating with eight workplace category scores, plus the company's own average rating, review count and average salary figures.

- **URL**: https://apify.com/blackfalcondata/careerbliss-com-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.59 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### What does CareerBliss Reviews Scraper do?

CareerBliss Reviews Scraper extracts employee reviews from [careerbliss.com](https://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.

**New to Apify?** [Sign up free](https://console.apify.com/sign-up?fpr=1h3gvi) and use the included $5 monthly platform credit to test this actor.

### 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.

```json
{
  "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.

```json
{
  "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.

```json
{
  "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

```json
{
  "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](https://apify.com/blackfalcondata/careerbliss-com-scraper?fpr=1h3gvi) 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](https://docs.apify.com/platform/actors/paid-actors/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](https://apify.com/integrations?fpr=1h3gvi) 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](https://docs.apify.com/api/v2). 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](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) 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](https://apify.com/blackfalcondata/careerbliss-com-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve.

### You might also like

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- [AMS Austria Job Scraper — Public Employment Service Jobs](https://apify.com/blackfalcondata/ams-austria-job-scraper?fpr=1h3gvi) — Scrape jobs.ams.at, Austria's official AMS public employment portal (alle jobs). Get live.
- [APEC Job Scraper \[Just 💰$0.8\] — French Executive Jobs](https://apify.com/blackfalcondata/apec-scraper?fpr=1h3gvi) — 💰 $0.8 per 1,000 jobs, platform usage included. Scrape apec.fr French executive listings — every.
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- [Arbetsförmedlingen \[Just 💰$3\] — Sweden Public Jobs](https://apify.com/blackfalcondata/arbetsformedlingen-scraper?fpr=1h3gvi) — 💰 $3 per 1,000 jobs. Scrape arbetsformedlingen.se (Platsbanken) — Sweden's official employment.
- [Bayt — MENA Jobs with Salary & Skills](https://apify.com/blackfalcondata/bayt-scraper?fpr=1h3gvi) — Scrape bayt.com — the leading Middle East job board across UAE · Saudi Arabia · Qatar · Egypt & 9.
- [Bayt Job Scraper — MENA Jobs with Salary & Skills](https://apify.com/blackfalcondata/bayt-scraper?fpr=1h3gvi) — Scrape bayt.com — the leading Middle East job board across UAE · Saudi Arabia · Qatar · Egypt & 9.
- [BestJobs.eu Scraper \[Just 💰$1.5\] — Romania Job Board](https://apify.com/blackfalcondata/bestjobs-eu-scraper?fpr=1h3gvi) — 💰 $1.5 per 1,000 jobs. Scrape bestjobs.eu — a leading Romanian job board — export salary ranges ·.

### Getting started with Apify

New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) — 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](https://apify.com/pricing?fpr=1h3gvi).

### 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.

### Search keywords

careerbliss scraper, careerbliss api, apify careerbliss, careerbliss data extraction, careerbliss reviews scraper, careerbliss reviews api, apify careerbliss reviews, careerbliss reviews data extraction, careerbliss.com scraper, careerbliss.com data, careerbliss.com api, job listings scraper, recruitment data, hiring data, job board scraper.

# Changelog

This Actor's version history is a separate document: https://apify.com/blackfalcondata/careerbliss-com-scraper/changelog.md

# Actor input Schema

## `query` (type: `string`):

Company name or careerbliss.com company slug (e.g. "best-buy"). Required if no startUrls provided.

## `location` (type: `string`):

Optional city filter, e.g. "Charlotte, NC".

## `maxResults` (type: `integer`):

Maximum total results (0 = unlimited).

## `enrichEmails` (type: `boolean`):

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.

## `startUrls` (type: `array`):

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.

## `descriptionMaxLength` (type: `integer`):

Truncate review text to N chars. 0 = no truncation.

## `compact` (type: `boolean`):

Core fields only (for AI-agent/MCP workflows).

## `excludeEmptyFields` (type: `boolean`):

Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.

## `incrementalMode` (type: `boolean`):

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.

## `stateKey` (type: `string`):

Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.

## `skipReposts` (type: `boolean`):

When incremental, skip listings whose content matches an expired listing from a prior run (cross-run duplicate detection).

## `emitUnchanged` (type: `boolean`):

When incremental mode is on, also emit listings whose content has not changed since the last run.

## `emitExpired` (type: `boolean`):

When incremental mode is on, also emit listings that were seen before but are no longer found.

## `notifyOnlyChanges` (type: `boolean`):

When Incremental Mode is on, only send notifications for NEW and UPDATED listings. Has no effect outside incremental mode.

## `notificationLimit` (type: `integer`):

Maximum number of listings included in each notification message (1–20).

## `telegramToken` (type: `string`):

Telegram bot token (from @BotFather). Required for Telegram notifications.

## `telegramChatId` (type: `string`):

Telegram chat or channel ID (e.g. "-100123456789"). Required when telegramToken is set.

## `discordWebhookUrl` (type: `string`):

Discord incoming webhook URL. Server Settings → Integrations → Webhooks → New Webhook.

## `slackWebhookUrl` (type: `string`):

Slack incoming webhook URL. api.slack.com/messaging/webhooks.

## `whatsappPhoneNumberId` (type: `string`):

Your WhatsApp Business phone-number ID (numeric, from Meta dashboard). Required when whatsappAccessToken is set.

## `whatsappAccessToken` (type: `string`):

WhatsApp Cloud API permanent access token (System User token from Meta Business). Recipient must have messaged the business number within the last 24h (service-conversation window — free since Nov 2024).

## `whatsappTo` (type: `string`):

Recipient phone in E.164 format without + (e.g. "436641234567"). Recipient must have messaged your business number within last 24h.

## `webhookUrl` (type: `string`):

Receives a JSON POST with {metadata, items} after each run. Universal escape hatch for n8n / Make / Zapier / custom backends.

## `webhookHeaders` (type: `object`):

Optional JSON object of custom headers (e.g. {"Authorization":"Bearer ..."}).

## `appConnector` (type: `string`):

Optional. Pick a connected app under Settings → API & Integrations to receive your results (including any contact details). Best-effort across MCP connectors as Apify expands its catalog.

## `mcpIssueTeam` (type: `string`):

Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one.

## `descriptionFormat` (type: `string`):

Choose which representation of the listing description to include. `all` keeps every variant; the others keep only the selected one.

## Actor input object example

```json
{
  "query": "Best Buy",
  "maxResults": 100,
  "enrichEmails": false,
  "startUrls": [],
  "descriptionMaxLength": 0,
  "compact": false,
  "excludeEmptyFields": false,
  "incrementalMode": false,
  "skipReposts": false,
  "emitUnchanged": false,
  "emitExpired": false,
  "notifyOnlyChanges": false,
  "notificationLimit": 5,
  "descriptionFormat": "all"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "Best Buy",
    "maxResults": 100,
    "excludeEmptyFields": false,
    "descriptionFormat": "all"
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/careerbliss-com-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "query": "Best Buy",
    "maxResults": 100,
    "excludeEmptyFields": False,
    "descriptionFormat": "all",
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/careerbliss-com-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "Best Buy",
  "maxResults": 100,
  "excludeEmptyFields": false,
  "descriptionFormat": "all"
}' |
apify call blackfalcondata/careerbliss-com-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,blackfalcondata/careerbliss-com-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/06N2SVmxbqtBHaatq/builds/Kf87SxX29b9W0DTFY/openapi.json