# Jora Jobs Scraper - Low-cost๐ฒ๐ฅ๐ผ๐ (`delectable_incubator/jora-jobs-scraper-low-cost`) Actor
๐ผ๐ Extract job listings from Jora.com with ease. This Jora Scraper collects job titles, company names, locations, salaries, work types, posting dates, job descriptions and direct job URLs. Ideal for recruitment intelligence, talent sourcing, job aggregation, HR analytics & hiring trend analysisโจ๐
- **URL**: https://apify.com/delectable\_incubator/jora-jobs-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Automation, Lead generation, Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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
---
## ๐๐ผ Jobtoday Jobs Scraper | Bulk Jobtoday URL Scraper | Apify Actor
### ๐ Extract Jobtoday Jobs Data in Seconds (No Code)
The **Jobtoday Jobs Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized job scraping tool** designed to extract job listings directly from **Jobtoday search result URLs**.
Collect hiring data across multiple countries, cities, and industries. Export structured datasets for **recruitment, HR analytics, job aggregation, salary intelligence, AI datasets, labor market research, and lead generation**.
---
### ๐ฅ Why This Jobtoday Scraper?
โ Best Jobtoday scraper on Apify
โ Supports **Bulk URL Scraping (Multi-URL Mode)**
โ Scrape thousands of jobs automatically
โ Infinite scroll support
โ Fast & scalable extraction engine
โ 100% structured JSON / CSV / Excel output
โ Perfect for recruiters, HR teams & job boards
โ No coding required
---
### ๐ฏ What This Scraper Does (Jobtoday Job Data Extraction)
This Apify Actor extracts **real-time job listings directly from Jobtoday search result pages**.
#### ๐ Core Features
โ
Scrape Jobtoday job listings
โ
Bulk URL scraping (SEO BOOST ๐)
โ
Supports UK, USA, Spain, France, Italy & Luxembourg
โ
Infinite scroll handling
โ
Extract company names & profile URLs
โ
Extract salary information
โ
Extract employment type
โ
Extract job descriptions
โ
Extract badges & featured jobs
โ
Extract posting dates
โ
Extract direct job URLs
โ
Clean structured dataset output
โ
High-speed extraction engine
---
### โก Input Configuration (Simple & Powerful)
#### ๐ฅ BULK URL MODE (SEO BOOST ๐)
````
{
"startUrls": \[
"https://jobtoday.com/gb/jobs/london",
"https://jobtoday.com/fr/emplois-data/paris",
"https://jobtoday.com/es/trabajos-datos/madrid",
"https://jobtoday.com/us/jobs-data/ny\_new-york"
],
"max\_items": 500
}
```
---
### ๐ Extracted Job Data (Structured Output)
| Field | Description |
| -------------- | -------------------------------- |
| jobId | Unique Jobtoday job identifier |
| jobTitle | Job title |
| companyName | Hiring company |
| companyUrl | Company profile URL |
| location | Job location |
| salary | Salary information |
| employmentType | Full-time / Part-time / Contract |
| postedDate | Job posting date |
| jobDescription | Job description preview |
| badges | Featured / Urgent tags |
| jobUrl | Direct job posting URL |
---
### ๐ก Use Cases (High Demand SEO Keywords)
This Jobtoday scraper is used for:
๐ผ Job scraping
๐ Labor market analysis
๐ฏ Recruitment automation
๐ HR analytics & hiring trends
๐ค AI training datasets
๐ข Employer intelligence
๐ก Job aggregation platforms
๐ฐ Salary benchmarking
๐ International hiring research
โก Bulk job data extraction
---
### ๐ Key Features (Apify SEO Optimized)
โก Bulk URL scraping support
๐ Multi-country coverage
๐ Infinite scroll support
๐ง Clean structured output
๐ High-speed scraping engine
๐ Auto retry & stability system
๐พ Export-ready datasets
โ๏ธ Scalable cloud execution
๐ Enterprise-ready architecture
---
### ๐ Supported Countries
๐ฌ๐ง United Kingdom
๐บ๐ธ United States
๐ช๐ธ Spain
๐ซ๐ท France
๐ฎ๐น Italy
๐ฑ๐บ Luxembourg
---
### ๐ค Output Formats Supported
โ JSON
โ CSV
โ Excel XLSX
โ XML
โ HTML
---
### ๐ฆ Example Output
```
{
"jobId": "jt\_001",
"jobTitle": "Waiter / Waitress",
"companyName": "Urban Bistro",
"companyUrl": "https://jobtoday.com/company/urban-bistro",
"location": "Madrid, Spain",
"salary": "โฌ10 - โฌ12 hourly",
"employmentType": "Part-time",
"postedDate": "2025-01-22",
"jobDescription": "Looking for an experienced waiter to join our team...",
"badges": \["Urgent"],
"jobUrl": "https://jobtoday.com/es/trabajo/waiter-123abc"
}
````
---
### ๐ฅ Why This is the BEST Jobtoday Scraper on Apify?
โ Optimized for Apify search ranking
โ Bulk URL support
โ High-performance extraction engine
โ Infinite scroll handling
โ Structured dataset output
โ Enterprise scalability
โ International coverage
โ Perfect for SEO traffic & marketplace visibility
---
### ๐ธ Pricing
This scraper runs on a **pay-per-result pricing model**.
You only pay for successfully extracted records.
๐ณ **Price:** $0.98 / 1,000 results
---
### โ FAQ (SEO BOOST SECTION)
#### Can I scrape multiple Jobtoday URLs at once?
Yes โ Bulk URL Mode is fully supported.
#### Does it support infinite scroll?
Yes โ the scraper automatically loads additional jobs.
#### Which countries are supported?
UK, USA, Spain, France, Italy and Luxembourg.
#### Is coding required?
No โ this is a fully no-code Apify Actor.
#### Can I export data?
Yes โ JSON, CSV, Excel, XML and HTML are supported.
#### Can I use it for recruitment analytics?
Absolutely. The scraper is designed for HR intelligence and labor market analysis.
---
### โ ๏ธ Disclaimer
This tool is not affiliated with Jobtoday.
It is an independent data extraction solution built for publicly accessible job listings.
---
### ๐ Related Actors (Job Scraping Ecosystem)
We are building a full **PrimeScrape Job Intelligence Suite**.
๐ More job scraping actors coming soon.
---
### ๐ PrimeScrape Ecosystem
Built for large-scale:
๐ Job data extraction
๐ข Company intelligence
๐ Market analytics
๐ค AI datasets
โ๏ธ Automation pipelines
๐ Recruitment intelligence
---
### ๐ฌ Support
โญโญโญโญโญ Leave a review if you like this scraper.
๐ฉ Contact us for custom scraping solutions, enterprise deployments, or large-scale data extraction projects.
# Actor input Schema
## `keywords` (type: `array`):
List of job keywords to search for (e.g., 'data', 'marketing', 'engineer'). Each keyword will be searched with the same location/country settings.
## `country` (type: `string`):
Select the Jora country site to search on
## `location` (type: `string`):
Location to search in (e.g., 'Sydney NSW', 'Auckland, North Island', 'Hong Kong', 'Singapore', 'Aceh', 'Ampang')
## `posted_date` (type: `string`):
Filter jobs by when they were posted
## `max_items` (type: `integer`):
Limits how many job listings will be scraped per keyword from Jora.com.
## Actor input object example
```json
{
"keywords": [
"engineer"
],
"country": "australia",
"location": "Sydney NSW",
"posted_date": "any time",
"max_items": 10
}
````
# 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 = {
"keywords": [
"engineer"
],
"country": "australia",
"location": "Sydney NSW",
"posted_date": "any time",
"max_items": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/jora-jobs-scraper-low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 = {
"keywords": ["engineer"],
"country": "australia",
"location": "Sydney NSW",
"posted_date": "any time",
"max_items": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/jora-jobs-scraper-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"keywords": [
"engineer"
],
"country": "australia",
"location": "Sydney NSW",
"posted_date": "any time",
"max_items": 10
}' |
apify call delectable_incubator/jora-jobs-scraper-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/jora-jobs-scraper-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Jora Jobs Scraper - Low-cost๐ฒ๐ฅ๐ผ๐",
"description": "๐ผ๐ Extract job listings from Jora.com with ease. This Jora Scraper collects job titles, company names, locations, salaries, work types, posting dates, job descriptions and direct job URLs. Ideal for recruitment intelligence, talent sourcing, job aggregation, HR analytics & hiring trend analysisโจ๐",
"version": "0.0",
"x-build-id": "cLHJbuTYkcZGqgkI6"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~jora-jobs-scraper-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-jora-jobs-scraper-low-cost",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~jora-jobs-scraper-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-jora-jobs-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~jora-jobs-scraper-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-jora-jobs-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"keywords",
"country",
"location"
],
"properties": {
"keywords": {
"title": "Search Keywords ๐",
"type": "array",
"description": "List of job keywords to search for (e.g., 'data', 'marketing', 'engineer'). Each keyword will be searched with the same location/country settings.",
"items": {
"type": "string"
}
},
"country": {
"title": "Country ๐",
"enum": [
"australia",
"new zealand",
"hong kong",
"singapore",
"indonesia",
"malaysia"
],
"type": "string",
"description": "Select the Jora country site to search on",
"default": "australia"
},
"location": {
"title": "Location ๐",
"type": "string",
"description": "Location to search in (e.g., 'Sydney NSW', 'Auckland, North Island', 'Hong Kong', 'Singapore', 'Aceh', 'Ampang')",
"default": "Sydney NSW"
},
"posted_date": {
"title": "Posted Date Filter ๐
",
"enum": [
"any time",
"last 24 hours",
"last 7 days",
"last 14 days",
"last month"
],
"type": "string",
"description": "Filter jobs by when they were posted",
"default": "any time"
},
"max_items": {
"title": "Maximum number of jobs to scrape per keyword ๐ข",
"type": "integer",
"description": "Limits how many job listings will be scraped per keyword from Jora.com.",
"default": 10
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```