Pricing
$10.00/month + usage
Job Listings Scraper extracts job details and metadata from multiple sources. It collects information such as job title, company, location, salary range, tech stack, and experience level. The scraper supports pagination and exports data in formats like JSON, CSV, XML, or Excel for easy analysis.
You can access the Germantechjobs Jobs Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {11 "proxy": {12 "useApifyProxy": true13 }14};15
16// Run the Actor and wait for it to finish17const run = await client.actor("mscraper/germantechjobs-jobs-scraper").call(input);18
19// Fetch and print Actor results from the run's dataset (if any)20console.log('Results from dataset');21console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);22const { items } = await client.dataset(run.defaultDatasetId).listItems();23items.forEach((item) => {24 console.dir(item);25});26
27// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsThe Apify API client for JavaScript is the official library that allows you to use Germantechjobs Jobs Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include: