# JobMaster Scraper: Israel Job Listings (`getascraper/jobmaster-scraper`) Actor
Scrape jobs from JobMaster.co.il without browser overhead. Extracts titles, description text, company data, and B2B contact leads (phone, email). Export to HubSpot, Salesforce, or Airtable. Skip high proxy costs and slow browser rendering. $1.99 per 1,000 results.
- **URL**: https://apify.com/getascraper/jobmaster-scraper.md
- **Developed by:** [GetAScraper](https://apify.com/getascraper) (community)
- **Categories:** Jobs, Lead generation, Social media
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.99 / 1,000 jobs
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## JobMaster Scraper: Israel Job Listings
**JobMaster scraper and mainstream Israeli recruitment data extraction API.** Extract public job listings, company descriptions, required skills, parsed salary rates, and direct recruiter contact lines from jobmaster.co.il with this Apify Actor. Bypasses blocking without browser overhead using fast, static Cheerio code, delivering clean structured datasets in Hebrew right-to-left format.
Whether you are a recruiter tracking general openings across Israel, an HR analytics platform benchmarking salary scales, or a B2B sales development team sourcing growing businesses, this Actor delivers complete recruitment data on a scheduled basis.
---
### What does JobMaster Scraper do?
* **Highly Optimized Performance:** Connects directly to the static search and detailed job pages, avoiding the overhead of browser-based automation like Playwright or Puppeteer.
* **B2B Contact Lead Extraction:** Automatically runs deep regex scanners over job text blocks to extract direct recruiter emails and Israeli telephone lines.
* **Intelligent Salary Parsing:** Normalizes salary text on-the-fly, extracting minimum and maximum bounds, currency (ILS), and pay frequency (hourly vs monthly).
* **Tabular Dataset Formatting:** Completely separates descriptions and requirements into clean plain-text columns, removing HTML tags and decoding percent-encodings.
---
### Why use JobMaster Scraper?
JobMaster is one of Israel's oldest and largest mainstream recruitment directories, hosting thousands of vacancies across administration, sales, customer service, engineering, high-tech, and finance.
Use this Actor to:
1. **Sync Broad Vacancies:** Populate general job listings and staffing vacancies on your own directories.
2. **Benchmark Local Compensation:** Extract salary ranges by category and district to track the Israeli job market.
3. **Squeeze B2B Leads:** Target hiring-intent companies with direct, parsed recruiter phone lines and emails.
---
### How to Scrape JobMaster Data Step-by-Step
1. Open the **Input** tab in Apify Console.
2. Configure search filters like **Search Query** (e.g. "React" or "QA"). If left empty, the scraper walks the newest job postings.
3. Choose whether to enable **Enrich Job Details** to retrieve full descriptions, requirements, and contact details.
4. Click **Start** and export your clean dataset.
---
### Input
| Field | Type | Description | Default |
|---|---|---|---|
| `startUrls` | array | Specific jobmaster.co.il search or listing URLs. | `[]` |
| `searchQuery` | string | Filter jobs by title keywords or skills (e.g. "React"). | `"React"` |
| `enrichDetail` | boolean | Fetch each job card's detail page to extract description and requirements. | `true` |
| `maxItems` | integer | Hard cap on total results returned. | `100` |
| `proxyConfiguration` | object | Proxy settings. Bypassing is unshielded, so proxies are optional. | `{"useApifyProxy": false}` |
---
### Output Example
Each dataset item represents a single job vacancy.
```json
{
"type": "job",
"jobId": "9773524",
"url": "https://www.jobmaster.co.il/jobs/checknum.asp?key=9773524",
"title": "Full Stack Web Developer (C## / React) - הצטרפו לנבחרת שלנו!",
"companyName": "G-Ness",
"companyUrl": "https://www.jobmaster.co.il/jobs/checkhevra.asp?cs=BVUULDHCTGFMFJJKCBEMUVVEM",
"companyDomain": null,
"location": "נתניה",
"remote": false,
"salaryMin": null,
"salaryMax": null,
"salaryCurrency": null,
"salaryPeriod": null,
"salaryRaw": "לא צוין שכר",
"employmentType": "משרה מלאה",
"postedRelative": "היום",
"descriptionText": "אנחנו מחפשים תכניתן/ית שרוצה לעבוד בסביבה טכנולוגית ומאתגרת...",
"requirementsText": "ניסיון מוכח בפיתוח .NET - חובה. ניסיון חזק בעולמות ה-Client עם React...",
"descriptionHtml": "...
",
"requirementsHtml": "...
",
"applyUrl": "https://www.jobmaster.co.il/jobs/checknum.asp?key=9773524",
"contactEmail": "hr@g-ness.co.il",
"contactPhone": "09-8654321",
"scrapedAt": "2026-06-06T11:00:00.000Z"
}
````
***
### Data Fields Explanation
| Field Name | Format | Description |
|---|---|---|
| `jobId` | text | Unique numerical ID parsed from card elements. |
| `url` | link | Direct URL of the JobMaster vacancy card. |
| `title` | text | Job title. |
| `companyName` | text | Employer name (or confidentiality label). |
| `companyUrl` | link | Direct link to company profile page. |
| `companyDomain` | text | Employer domain parsed from their profile links. |
| `location` | text | Israeli city hub (Hebrew). |
| `remote` | boolean | Set to `true` if remote-work options are available. |
| `salaryMin` | number | Minimum salary rate bound. |
| `salaryMax` | number | Maximum salary rate bound. |
| `salaryCurrency` | text | Currency code used for payment. |
| `salaryPeriod` | text | Pay frequency (hourly vs monthly). |
| `salaryRaw` | text | Unparsed salary text as published on JobMaster. |
| `employmentType` | text | Job scope (e.g. Full-time, Shift work). |
| `postedRelative` | text | Human-readable relative date (RTL Hebrew). |
| `descriptionText` | text | Plain-text job description section. |
| `requirementsText` | text | Plain-text required skills section. |
| `contactEmail` | text | Extracted recruiter's contact email. |
| `contactPhone` | text | Extracted recruiter's telephone line. |
| `scrapedAt` | date | ISO 8601 scraping timestamp. |
***
### How Much Does It Cost to Scrape JobMaster?
**$1.99 per 1,000 results.**
We offer the **best value at an affordable price**—providing comprehensive general Israeli recruitment data at a lower price point than specialized competitors. Because the platform loads listings natively via server-side rendered HTML, there is zero headless browser overhead or expensive residential proxy data transfer fees.
***
### Advanced Options & Tips
- **Fast List Mode:** Disable `enrichDetail` to run super-fast crawls. This will bypass retrieving descriptions, requirements, and contact details, letting you capture titles, locations, and company names at 10x the speed.
- **Low Concurrency:** Keep concurrency restricted to a modest `maxConcurrency: 10` to remain respectful of the WordPress backend server.
***
### FAQ (Frequently Asked Questions)
#### How does this scraper bypass bot protections?
JobMaster operates on a standard Microsoft IIS web server using classic ASP / ASP.NET. Unlike major competitors, the website has no active Radware Web Application Firewall (WAF) or PerimeterX challenge walls configured. Unauthenticated requests are welcomed with `200 OK` status, meaning your crawls run unblocked without browser overhead.
#### Do I need a login or API Key?
No. All JobMaster vacancy listings are fully public and require no authentication or cookies to read.
#### Why is the company name confidential on some jobs?
To protect client databases from competitor poachers, some agencies and employers choose to list vacancies anonymously. In those instances, the `companyName` field is populated with the standard Hebrew confidentiality label `"חברה חסויה"`.
***
### Disclaimers & Support
This Actor is an independent web scraping tool and is not affiliated with, endorsed by, or sponsored by JobMaster, JobMaster Limited, jobmaster.co.il, or any of their subsidiaries or affiliates. All trademarks are the property of their respective owners.
The scraper accesses only the public, unauthenticated job listings of the JobMaster website, matching data the platform serves to any public user. Users are responsible for ensuring compliance with JobMaster Terms of Service and local data regulations (GDPR).
If you encounter issues or have custom requirements, please submit a report on the **Issues** tab. For custom scraping or dataset services, contact the author's profile.
# Actor input Schema
## `searchQuery` (type: `string`):
Enter the job title, skill, company, or city (e.g., 'React', 'QA', or 'תל אביב'). Left blank walks the entire newest-first job directory.
## `scope` (type: `string`):
Select the primary employment scope or work arrangement.
## `onlyDisclosedSalary` (type: `boolean`):
Only return job listings that explicitly publish their salary range (excludes confidential compensation scales).
## `enrichDetail` (type: `boolean`):
Fetch each unique job detail page to extract the full description, requirements, and recruiter contact emails.
## `maxItems` (type: `integer`):
Maximum number of jobs to return (hard cap).
## `proxyConfiguration` (type: `object`):
Proxy settings. Bypassing is unshielded, so proxies are optional. Enable only if you hit rate limits.
## Actor input object example
```json
{
"searchQuery": "React",
"scope": "any",
"onlyDisclosedSalary": false,
"enrichDetail": true,
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": false
}
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {};
// Run the Actor and wait for it to finish
const run = await client.actor("getascraper/jobmaster-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {}
# Run the Actor and wait for it to finish
run = client.actor("getascraper/jobmaster-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{}' |
apify call getascraper/jobmaster-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getascraper/jobmaster-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "JobMaster Scraper: Israel Job Listings",
"description": "Scrape jobs from JobMaster.co.il without browser overhead. Extracts titles, description text, company data, and B2B contact leads (phone, email). Export to HubSpot, Salesforce, or Airtable. Skip high proxy costs and slow browser rendering. $1.99 per 1,000 results.",
"version": "0.1",
"x-build-id": "4YckwuiaBxKNlSo8q"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getascraper~jobmaster-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getascraper-jobmaster-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getascraper~jobmaster-scraper/runs": {
"post": {
"operationId": "runs-sync-getascraper-jobmaster-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getascraper~jobmaster-scraper/run-sync": {
"post": {
"operationId": "run-sync-getascraper-jobmaster-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"maxItems",
"enrichDetail"
],
"properties": {
"searchQuery": {
"title": "Search Query",
"type": "string",
"description": "Enter the job title, skill, company, or city (e.g., 'React', 'QA', or 'תל אביב'). Left blank walks the entire newest-first job directory.",
"default": "React"
},
"scope": {
"title": "Job Scope",
"enum": [
"any",
"full-time",
"part-time",
"work-from-home",
"student"
],
"type": "string",
"description": "Select the primary employment scope or work arrangement.",
"default": "any"
},
"onlyDisclosedSalary": {
"title": "Only Disclosed Salary",
"type": "boolean",
"description": "Only return job listings that explicitly publish their salary range (excludes confidential compensation scales).",
"default": false
},
"enrichDetail": {
"title": "Enrich Job Details",
"type": "boolean",
"description": "Fetch each unique job detail page to extract the full description, requirements, and recruiter contact emails.",
"default": true
},
"maxItems": {
"title": "Maximum items",
"minimum": 1,
"maximum": 5000,
"type": "integer",
"description": "Maximum number of jobs to return (hard cap).",
"default": 100
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy settings. Bypassing is unshielded, so proxies are optional. Enable only if you hit rate limits.",
"default": {
"useApifyProxy": false
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```