
Jobs.ch Search Scraper (Fast & Cheap) 💼 🇨🇭
1 day trial then $19.49/month - No credit card required now

Jobs.ch Search Scraper (Fast & Cheap) 💼 🇨🇭
1 day trial then $19.49/month - No credit card required now
Looking for a job listings scraper to extract job offers from a specific search? 🔍 Your search ends here! With the Jobsch Switzerland Search Scraper 💼, gather all the job listings based on ur keyword & location, including company details, employment type, publication date and more. No proxy needed
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Created in Mar 2025
Modified 11 hours ago
Jobs.ch Search Scraper (Fast & Cheap) 💼
🚨 The strength of our tool is that you simply provide a keyword search, location, and max items 🎯, and we’ll extract detailed job offer data for you! 💪
The Jobch Search Results Scraper 💥 is a powerful tool designed to extract job listings data from 🇨🇭 Switzerland's largest job board Jobs.ch platform 📋. By providing the search keyword, location, and the maximum number of job listings you wish to fetch, you can retrieve:
1Job Title 📛 2Company Name 🏢 3Location 📍 4Job Description 📝 5Link to the job offer 🌐 6Publication Date 📅 7Employment Grade/Type 🧑💼 8Company Logo 🖼️ 9More additional details ℹ️
This scraper allows you to collect key job offer data 🧑💼 from Jobs.ch Switzerland 🇨🇭 without hitting any limits or quotas 🚫. Just ensure that the desired number of job offers 🎯 exists in the search results.
ℹ️ Please refrain from increasing the number of items to fetch, considering platform limitations. ⚠️
For additional customizations, special keyword preferences, or preferential pricing, feel free to contact us 📩: randomus075@gmail.com
Key Features ✨🚀
- Extract job listings from Switzerland's largest job board Jobs.ch 🔍💼
- Multi-language support 🌍🗣️
- Customizable output formats to suit your needs ⚙️📊
- Fast and efficient ⚡
- Get detailed info such as job title, company, location, and publication date ⏰📋
🛠️ How to Use
This actor takes a search keyword, location, and max items to fetch job listings and returns detailed data on each job.
1Enter Data: Input the search keyword, location (place or a city in Switzerland), and maximum items (number of jobs to fetch). 2Start Scraping: Click the "Start" button to begin the scraping process. 3Scraper Executes: The scraper will navigate through the Jobs.ch platform, gather job listings data, and store it. 4Download Your Data: Once the extraction is complete, you can download the results in various formats such as JSON, CSV, XML, HTML Table, etc.
Why Scrape Job Listings from Jobs.ch? ✨🚀
Save Time: Quickly gather job listings for specific keywords and locations without manually searching each one 📅⏱️
Market Research: Analyze job market trends, salary estimates, and in-demand skills 🏢💡
Recruitment Insights: Find and compare job offers to optimize your job search strategy 💼📊
Optimize SEO: Use job data to improve your website’s SEO and content strategy 📈🔍
Job Alerts: Automate the collection of job listings for timely applications 📬
💸 Pricing
This scraper operates on a pay-per-month basis at a cost of $19.49/month.
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🔑 Jobch Scraper Input ⚡💬
The Jobch Full Search Results Scraper requires a specific input format. Provide a JSON object with the keyword, place, sort option, and the number of items you wish to fetch:
1{ 2 "keyword": "food", 3 "place": "bern", 4 "sort_by": "Newest", 5 "maxitems": 60 6}
📊 Jobch Scraper Output Example
After running the scraper, you’ll get detailed job listings data in various formats (JSON, CSV, XML, etc.). Here is an example of the output format:
1[ 2 { 3 "id": "7d5597bc-9ec1-412a-9a81-33afacd9bb1c", 4 "title": "Einkaufs- und Produktmanager 80-100% (m/w)", 5 "company_name": "Neuenschwander R. + H. AG", 6 "company_logo": "https://media.jobs.ch/images/569104b1-1c16-4989-ad98-2574ff2f39d8/248x88.png", 7 "link_to_offer": "https://www.jobs.ch/en/vacancies/detail/7d5597bc-9ec1-412a-9a81-33afacd9bb1c/", 8 "place": "Grafenried", 9 "initialPublicationDate": "2025-02-26T16:07:22+01:00", 10 "publicationDate": "2025-02-26T16:04:45+01:00", 11 "employmentGrades": [ 12 80, 13 100 14 ], 15 "isPaid": true, 16 "employmentPositionIds": [ 17 3 18 ], 19 "employmentTypeIds": [ 20 "5" 21 ], 22 "benefitIds": [], 23 "languageIds": [], 24 "listingTags": [ 25 { 26 "name": "quickApply" 27 } 28 ] 29 } 30]
📫 Support
😊 Leave us a ⭐⭐⭐⭐⭐ if you are satisfied with the product! 🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - Storm_Scraper 🌪️🌩️