# Bayt Jobs Scraper | Full Details & Skills (`datascraperes/bayt-jobs-data-scraper`) Actor

Scrape public Bayt jobs from keyword, country, and city search definitions. Export unique listings with titles, companies, locations, salaries, descriptions, skills, dates, and application links when available. Use full details for recruitment research, job-market analysis, and hiring workflows.

- **URL**: https://apify.com/datascraperes/bayt-jobs-data-scraper.md
- **Developed by:** [DataScraperES](https://apify.com/datascraperes) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.75 / 1,000 bayt job results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

Scrape public Bayt.com jobs from simple search definitions and receive **structured job records with full public details when available**. Enter a job title or skill, choose a country and optionally a city, then open the Dataset for titles, employers, locations, descriptions, skills, dates, and application links.

### What this Actor does

This Actor collects public Bayt.com job listings from the search values you provide and can enrich each listing from Bayt's public job-detail responses. It generates Bayt source routes internally, returns one deduplicated Dataset item per job, and includes listing-card fields plus structured detail fields when the source exposes them. The Actor uses HTTP requests only and does not require a Bayt login or API key.

### Use cases

- Build a current dataset of jobs for a keyword, country, or Bayt search filter.
- Monitor public job descriptions, skills, employers, locations, and posting dates.
- Feed structured Bayt job records into recruiting, market-research, or SEO workflows.

### How to use

1. Open the Actor in Apify Console.
2. Add one or more entries in **Job searches**.
3. For each entry, enter the job title or keywords, choose a country, and optionally enter a city.
4. Choose a maximum number of unique jobs and whether to fetch full details.
5. Click **Start** and open the Dataset when the run finishes.

### Input

`searches` is required and accepts 1–25 search definitions. Each definition contains `keywords`, a Bayt `country`, and an optional `city`. The Actor creates the source search routes internally, so you do not need to know or submit Bayt URLs. `maxItems` is a global cap across all searches and defaults to 30. `fetchDetails` defaults to `true`; disabling it returns listing-card data without canonical detail requests. Source recovery is managed internally by the Actor; no transport configuration is required or exposed in the input.

```json
{
  "searches": [
    {
      "keywords": "AI",
      "country": "international",
      "city": ""
    },
    {
      "keywords": "Python developer",
      "country": "uae",
      "city": "Dubai"
    }
  ],
  "maxItems": 3,
  "fetchDetails": true
}
```

### Output

Results are stored in the default Dataset. Each job is one `recordType: "job"` item. If a target remains unavailable after bounded HTTP recovery, the Actor keeps already collected jobs and writes a `recordType: "run_status"` item with a safe status and error type instead of stopping the whole run.

```json
{
  "recordType": "job",
  "success": true,
  "status": "ok",
  "source": "bayt",
  "searchUrl": "https://www.bayt.com/en/international/jobs/ai-jobs/",
  "jobId": "5482613",
  "jobTitle": "AI Project Manager",
  "jobLink": "https://www.bayt.com/en/saudi-arabia/jobs/%D9%85%D8%AF%D9%8A%D8%B1-%D9%85%D8%B4%D8%A7%D8%B1%D9%8A%D8%B9-%D8%A7%D9%84%D8%B0%D9%83%D8%A7%D8%A1-%D8%A7%D9%84%D8%A7%D8%B5%D8%B7%D9%86%D8%A7%D8%B9%D9%8A-ai-project-manager-5482613/",
  "jobSalary": null,
  "jobType": "FULL_TIME",
  "jobCareerLevel": null,
  "jobCompanyLogo": "https://secure.b8cdn.com/bayt/assets/company-ewubiqy5/images/confidentialCompanyLogo.svg",
  "jobCompany": "confidential",
  "jobLocation": "Riyadh, SA",
  "jobDescription": "Manage and plan AI projects and monitor their execution. Define project scope, objectives, deliverables, and timelines. Coordinate between AI, programming, data, and product teams. Track project progress and ensure adherence to timelines and budgets. Manage risks and issues and take appropriate corrective actions. Oversee the development and implementation of AI, Machine Learning, and Generative AI solutions. Communicate with stakeholders and clients and track project requirements. Prepare regular reports on project progress and performance metrics. Ensure the quality of deliverables and achievement of project goals. Monitor the use of modern tools and technologies in AI projects.",
  "jobDescriptionHtml": "<div class=\"t-break\" data-jb-field=\"description\">\n<ul><li>Manage and plan AI projects and monitor their execution.</li><li>Define project scope, objectives, deliverables, and timelines.</li><li>Coordinate between <b>AI, programming, data, and product</b> teams.</li><li>Track project progress and ensure adherence to timelines and budgets.</li><li>Manage risks and issues and take appropriate corrective actions.</li><li>Oversee the development and implementation of <b>AI, Machine Learning, and Generative AI</b> solutions.</li><li>Communicate with stakeholders and clients and track project requirements.</li><li>Prepare regular reports on project progress and performance metrics.</li><li>Ensure the quality of deliverables and achievement of project goals.</li><li>Monitor the use of modern tools and technologies in AI projects.</li></ul><p><br/></p> </div>",
  "jobSkills": [
    "Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Project Management or related field.",
    "Practical experience in managing technical projects, preferably in AI / Data / Software.",
    "Good understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts.",
    "Experience in using project management methodologies such as Agile / Scrum.",
    "Strong skills in planning, organizing, and time management.",
    "Ability to manage cross-functional teams.",
    "Excellent communication skills and stakeholder management.",
    "Proficiency in English."
  ],
  "preferredCandidate": null,
  "jobCreatedAt": "2026-09-13",
  "jobValidThrough": "2026-11-12T00:00:00Z",
  "jobApplyUrl": "https://www.bayt.com/en/job/apply/index/5482613/",
  "detailStatus": "success",
  "scrapedAt": "2026-09-24T07:58:04.919576+00:00",
  "errorType": null,
  "page": 1
}
```

### Pricing

The Actor charges one billable event for each unique job row delivered to the default Dataset. The active tiered prices are:

| Apify tier | Price per delivered job | Equivalent per 1,000 jobs |
|---|---:|---:|
| FREE | $0.00100 | $1.00 |
| BRONZE | $0.00090 | $0.90 |
| SILVER | $0.00080 | $0.80 |
| GOLD | $0.00075 | $0.75 |
| PLATINUM | $0.00075 | $0.75 |
| DIAMOND | $0.00075 | $0.75 |

`run_status` rows, empty searches, duplicate jobs, and failed requests that do not produce a job row are not charged. Check the Actor's **Pricing** tab for the effective price applied to your account before starting a run.

### Related Actors

| Actor | Best for |
|---|---|
| [Built In Jobs Scraper | Salaries & Skills](https://apify.com/datascraperes/builtin-jobs-scraper) | Built In jobs with skills, workplace data, and published salaries. |
| [Glassdoor Jobs Scraper | Global Job Listings](https://apify.com/datascraperes/glassdoor-jobs-scraper) | Glassdoor listings with employer, salary, and application data. |
| [Indeed Jobs Scraper | Worldwide Job Data](https://apify.com/datascraperes/indeed-jobs-scraper) | Indeed searches with keyword, country, and location filters. |
| [InfoJobs Jobs Scraper | Spanish Job Data](https://apify.com/datascraperes/infojobs-jobs-scraper) | Spanish job searches with location and work-condition filters. |
| [LinkedIn Jobs Scraper – No Login](https://apify.com/datascraperes/linkedin-jobs-scraper) | Public LinkedIn searches without a login. |

### Limits and data quality

Bayt controls the available pages and may change markup, pagination, descriptions, salary visibility, or access responses. Detail fields are populated only when present on the public source page. Duplicate jobs across generated searches are removed, and `maxItems` is a global cap. A source challenge does not invalidate already delivered jobs; inspect `run_status` items and the run summary for partial coverage.

The Actor uses bounded request timeouts and retries. It may take longer when many detail pages are requested. To improve consistency, use specific job titles or skills, keep result caps realistic, and avoid submitting duplicate search definitions in one run.

### Frequently asked questions

#### How do I search a specific country or city?

Choose the country in the search definition and enter the city when needed. Leave the city blank to search the whole country. Use `international` with an empty city for the global Bayt search.

#### Does the Actor require a browser, login, or Bayt API key?

No. The Actor uses HTTP requests against public Bayt pages and does not require a user login or API key.

#### What happens if Bayt blocks one page?

The Actor makes bounded recovery attempts managed by its runtime. It keeps delivered records, writes a safe `run_status` item for an unavailable target, and continues with other input targets.

### Responsible use

You are responsible for using the Actor lawfully and for complying with Bayt's terms, applicable privacy rules, robots guidance, and other regulations. Collect and process public job data only for legitimate purposes and respect any restrictions that apply to your use case.

### Support

Open an issue in the Actor's **Issues** tab with a reproducible input and the Apify run ID. Do not include secrets in an issue.

For runnable cURL, Python, and JavaScript examples, see the [Bayt Jobs Scraper API examples repository](https://github.com/datacrawler-edu/bayt-jobs-scraper-python).

# Actor input Schema

## `searches` (type: `array`):

Define the job title, skill, country, and optional city to search. Bayt source URLs are generated internally.

## `maxItems` (type: `integer`):

Global cap across all defined searches. Results already delivered before a bounded source challenge remain in the Dataset.

## `fetchDetails` (type: `boolean`):

Fetch canonical public job pages after listing discovery and enrich each job with description, skills, dates, location, company, and apply URL when available.

## Actor input object example

```json
{
  "searches": [
    {
      "keywords": "AI",
      "country": "international",
      "city": ""
    }
  ],
  "maxItems": 3,
  "fetchDetails": true
}
```

# Actor output Schema

## `dataset` (type: `string`):

Unique job records and bounded run-status records.

## `summary` (type: `string`):

Counts, target status, and transport summary.

# 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 = {
    "searches": [
        {
            "keywords": "AI",
            "country": "international",
            "city": ""
        }
    ],
    "maxItems": 3,
    "fetchDetails": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascraperes/bayt-jobs-data-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 = {
    "searches": [{
            "keywords": "AI",
            "country": "international",
            "city": "",
        }],
    "maxItems": 3,
    "fetchDetails": True,
}

# Run the Actor and wait for it to finish
run = client.actor("datascraperes/bayt-jobs-data-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 '{
  "searches": [
    {
      "keywords": "AI",
      "country": "international",
      "city": ""
    }
  ],
  "maxItems": 3,
  "fetchDetails": true
}' |
apify call datascraperes/bayt-jobs-data-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascraperes/bayt-jobs-data-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/UeP6J26zq0TOwXNAJ/builds/0gZZnHoCFuWe9YSkR/openapi.json
