# Jobtoday Scraper - Low-cost๐ฒ๐ฅ๐ผ๐ (`delectable_incubator/jobtoday-scraper-low-cost`) Actor
๐ Scrape Jobtoday.com job listings at scale. This Scraper extracts job titles, company names, locations, salaries, employment types, posting dates, job descriptions & direct job URLs from search results. Ideal for recruitment intelligence, talent sourcing, HR analytics and hiring trend analysis ๐
- **URL**: https://apify.com/delectable\_incubator/jobtoday-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (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 $0.00005 / 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 Job Listings 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 from Jobtoday across Europe, the United States, and international markets.
Collect structured hiring data directly from Jobtoday search URLs and export ready-to-use datasets for recruitment, HR analytics, job aggregation, salary intelligence, labor market research, AI datasets, and hiring trend monitoring.
---
### ๐ฅ Why This Jobtoday Scraper?
โ Best Jobtoday scraper on Apify
โ Supports Bulk URL Scraping (SEO BOOST ๐)
โ Fast infinite-scroll job extraction
โ Extract thousands of jobs automatically
โ 100% structured JSON / CSV / Excel output
โ Multi-country Jobtoday support
โ Ideal for recruiters, staffing agencies & HR teams
โ Perfect for labor market intelligence
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 mode (SEO BOOST ๐)
โ
Multi-country job extraction
โ
Infinite scroll handling
โ
Automatic pagination
โ
Extract company information
โ
Extract salary information
โ
Extract employment types
โ
Extract job descriptions
โ
Extract job URLs
โ
Extract publication dates
โ
Extract company profile URLs
โ
Structured export-ready datasets
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"
],
"language": "en-GB",
"max\_items": 500
}
```
---
### ๐ Extracted Job Data (Structured Output)
| Field | Description |
| -------------- | ------------------------------ |
| jobId | Unique 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 publication date |
| jobDescription | Job description preview |
| badges | Urgent / Featured labels |
| jobUrl | Direct job URL |
---
### ๐ Supported Countries
๐ฌ๐ง United Kingdom
๐บ๐ธ United States
๐ช๐ธ Spain
๐ซ๐ท France
๐ฎ๐น Italy
๐ฑ๐บ Luxembourg
---
### ๐ก Use Cases (High Demand SEO Keywords)
๐ผ Job scraping
๐ International job market analysis
๐ Recruitment intelligence
๐ฏ Talent acquisition automation
๐ HR analytics
๐ข Employer hiring intelligence
๐ฐ Salary benchmarking
๐ก Job aggregation platforms
๐ค AI training datasets
๐ Hiring trend monitoring
โก Bulk job data extraction
---
### ๐ Key Features (Apify SEO Optimized)
โก Bulk URL scraping support
๐ International job coverage
๐ Infinite scroll support
๐ง Clean structured output
๐ High-speed scraping engine
๐ Auto retry system
๐พ Export-ready datasets
โ๏ธ Scalable cloud execution
๐ข Company intelligence extraction
๐ Salary data collection
---
### ๐ค Output Formats Supported
โ JSON (API ready)
โ CSV (Excel analysis)
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 Supports Bulk URLs (rare feature)
โ Infinite-scroll extraction
โ Fast and scalable architecture
โ Enterprise-ready reliability
โ Structured clean datasets
โ International hiring intelligence
โ Perfect for 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 scrolling?
Yes โ automatic infinite scroll handling is included.
#### Can I scrape jobs from multiple countries?
Yes โ UK, USA, France, Spain, Italy and Luxembourg are supported.
#### Is coding required?
No โ 100% no-code Apify Actor.
#### Can I export data?
Yes โ JSON, CSV, Excel, XML and HTML formats are supported.
---
### โ ๏ธ Disclaimer
This tool is not affiliated with Jobtoday.
It is an independent data extraction solution built for public job market research and analytics.
---
### ๐ Related Actors (Job Scraping Ecosystem)
We are building a complete PrimeScrape Job Intelligence Suite.
๐ More Job, HR, Lead Generation & Company Intelligence Actors coming soon.
---
### ๐ PrimeScrape Ecosystem
Built for:
๐ Job data extraction
๐ข Company intelligence
๐ Market analytics
๐ค AI training datasets
โ๏ธ Recruitment automation
๐ผ Talent intelligence
๐ Labor market monitoring
๐ Enterprise-scale data collection
---
### ๐ฌ Support
โญโญโญโญโญ Leave a review if you enjoy this scraper.
๐ฉ Contact us for custom scraping solutions, enterprise projects, API integrations, or dedicated data pipelines.
๐ PrimeScrape โ Professional Data Extraction at Scale.
# Actor input Schema
## `target_urls` (type: `array`):
List of Jobtoday.com search results URLs to scrape. Each URL is processed sequentially.
Examples:
โข https://jobtoday.com/us/jobs-data/ny_new-york
โข https://jobtoday.com/gb/jobs/london
โข https://jobtoday.com/fr/emplois-data/paris
โข https://jobtoday.com/es/trabajos-datos/madrid
## `language` (type: `string`):
Select the language for the scraper interface and locale settings
## `max_items` (type: `integer`):
Limits how many job listings will be scraped per URL from Jobtoday.com.
## Actor input object example
```json
{
"target_urls": [
"https://jobtoday.com/us/jobs-data/ny_new-york",
"https://jobtoday.com/us/search?location=New+York%2C+NY&keyword=AI"
],
"language": "en-GB",
"max_items": 100
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
## `detailed_jobs` (type: `string`):
No description
## `by_company` (type: `string`):
No description
## `by_location` (type: `string`):
No description
## `by_employment_type` (type: `string`):
No description
## `recent_posts` (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 = {
"target_urls": [
"https://jobtoday.com/us/jobs-data/ny_new-york",
"https://jobtoday.com/us/search?location=New+York%2C+NY&keyword=AI"
],
"language": "en-GB",
"max_items": 100
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/jobtoday-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 = {
"target_urls": [
"https://jobtoday.com/us/jobs-data/ny_new-york",
"https://jobtoday.com/us/search?location=New+York%2C+NY&keyword=AI",
],
"language": "en-GB",
"max_items": 100,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/jobtoday-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 '{
"target_urls": [
"https://jobtoday.com/us/jobs-data/ny_new-york",
"https://jobtoday.com/us/search?location=New+York%2C+NY&keyword=AI"
],
"language": "en-GB",
"max_items": 100
}' |
apify call delectable_incubator/jobtoday-scraper-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/jobtoday-scraper-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Jobtoday Scraper - Low-cost๐ฒ๐ฅ๐ผ๐",
"description": "๐ Scrape Jobtoday.com job listings at scale. This Scraper extracts job titles, company names, locations, salaries, employment types, posting dates, job descriptions & direct job URLs from search results. Ideal for recruitment intelligence, talent sourcing, HR analytics and hiring trend analysis ๐",
"version": "0.0",
"x-build-id": "Kkur4eutEe8gS0R5V"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~jobtoday-scraper-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-jobtoday-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~jobtoday-scraper-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-jobtoday-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~jobtoday-scraper-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-jobtoday-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"target_urls"
],
"properties": {
"target_urls": {
"title": "Target URLs ๐",
"type": "array",
"description": "List of Jobtoday.com search results URLs to scrape. Each URL is processed sequentially.\n\nExamples:\nโข https://jobtoday.com/us/jobs-data/ny_new-york\nโข https://jobtoday.com/gb/jobs/london\nโข https://jobtoday.com/fr/emplois-data/paris\nโข https://jobtoday.com/es/trabajos-datos/madrid",
"items": {
"type": "string"
},
"default": [
"https://jobtoday.com/us/jobs-data/ny_new-york",
"https://jobtoday.com/us/search?location=New+York%2C+NY&keyword=AI"
]
},
"language": {
"title": "Language / Langue / Idioma / Lingua ๐",
"enum": [
"en-GB",
"en-US",
"fr-FR",
"es-ES",
"it-IT",
"fr-LU"
],
"type": "string",
"description": "Select the language for the scraper interface and locale settings",
"default": "en-GB"
},
"max_items": {
"title": "Maximum number of jobs to scrape per URL ๐ข",
"type": "integer",
"description": "Limits how many job listings will be scraped per URL from Jobtoday.com. ",
"default": 100
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```