You can access the Xing jobs scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

$echo '{
<  "url": "https://www.xing.com/jobs/search?keywords=Trainee&location=Germany",
<  "startPage": 1,
<  "count": 100,
<  "proxy": {
<    "useApifyProxy": true,
<    "apifyProxyCountry": "US",
<    "apifyProxyGroups": [
<      "RESIDENTIAL"
<    ]
<  }
<}' |
<apify call curious_coder/xing-scraper --silent --output-dataset

Xing jobs scraper API through CLI

The Apify CLI is the official tool that allows you to use Xing jobs scraper locally, providing convenience functions and automatic retries on errors.

Install the Apify CLI

$npm i -g apify-cli
$apify login

Other API clients include:

Xing jobs scraper API in Python

Xing jobs scraper API in JavaScript

Xing jobs scraper OpenAPI definition

Xing jobs scraper API

Xing Jobs Scraper 🎯

easyapi/xing-jobs-scraper

Scrape job listings from Xing.com - Extract detailed job information including titles, locations, company details, and more. Perfect for job market analysis, recruitment research, and tracking employment opportunities.

EasyApi

Xing Jobs Scraper 💼🔍 - Advanced & Cheaper

scrapestorm/xing-jobs-scraper---advanced-cheaper

Collect detailed job listings from Xing by keywords 🧑‍💻. Get key info like job titles, locations, company names, salary details 💸, employment types 🏢, and more. Perfect for analyzing career opportunities, researching roles, and gathering data for job seekers, recruiters, and professionals.

Storm_Scraper

5.0

Linkedin Jobs Scraper - PPR

curious_coder/linkedin-jobs-scraper

Scrape jobs from linkedin jobs search results along with company details. Get key information to find contact info

Curious Coder

5.0

XING Data Extractor

epctex/xing-scraper

Unleash the power of advanced scraping to gather comprehensive data on companies, jobs, profiles, communities, and groups from XING. Extract job descriptions, images, company details, summarizations and more. Customize your search terms, filters, and mappings for precision.

epctex

278

🔥 LinkedIn Jobs Scraper

bebity/linkedin-jobs-scraper

ℹ️ Designed for both personal and professional use, simply enter your desired job title and location to receive a tailored list of job opportunities. Try it today!

Bebity

10K

3.5

Indeed job scraper

curious_coder/indeed-scraper

This is an actively maintained scraper which can extract job postings and hiring company details at scale from any indeed search results page for a fixed monthly rental price. Well documented with examples and demos

Curious Coder

1.7K

1.7

Advanced Linkedin Job Scraper

curious_coder/linkedin-jobs-search-scraper

Scrape linkedin job postings and get company and recruiter details. Supports boolean search and other advanced search filters. Success rate is > 98%

Curious Coder

2.3K

🔥 Glassdoor jobs scraper

bebity/glassdoor-jobs-scraper

ℹ️ Elevate your job search with the sleek Glassdoor Scraper for Apify. Tailor-made for the modern job seeker, it's your secret weapon in the job market. Dive into a world of opportunities with custom searches, precise filtering. Fast, efficient, and incredibly user-friendly 🚀✨

Bebity

994

5.0

🚀 Indeed jobs scraper [PPR]

borderline/indeed-scraper

Pay per result - Fast and reliable Indeed Job Scraper! 🚀 Extract job listings with company details effortlessly with advanced filters, avoid blocking, and enjoy lightning-speed execution. Build your analytics, automate searches, or benchmark salaries—all with seamless outputs. Try it now for free

borderline

392

Google Jobs Scraper

epctex/google-jobs-scraper

The most comprehensive Google Jobs Scraper ever! Extremely configurable, highly customizable, and blazing fast. Retrieve salary, social links, apply links, and all detailed sections. Both for data retrieval and API Integration. Easy use without any limits!

epctex

657

5.0