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JobTeaser Jobs Scraper

Extract job listings from JobTeaser quickly and reliably for hiring research, market intelligence, and job trend analysis. Collect structured job data such as title, company, location, posting date, job type, and full descriptions. Built for teams that need clean, export-ready job datasets at scale.

Features

• Focused Job Search - Collect listings using keyword, language, and posting date filters
• Location Targeting - Narrow results to specific cities, countries, or remote-friendly regions
• Detailed Job Records - Get enriched fields including descriptions, categories, and job links
• Scalable Collection - Control collection size with results_wanted
• Structured Output - Receive clean dataset items ready for reporting and automation

Use Cases

Recruitment Intelligence

Track open roles by company, location, and role type to understand hiring demand. Use this data to support sourcing strategy and talent pipeline planning.

Job Market Monitoring

Monitor how job demand changes over time in specific regions or industries. Identify growth areas and hiring slowdowns with consistent data snapshots.

Competitive Benchmarking

Compare competitors' hiring activity by role category, geography, and posting volume. Use findings for workforce planning and market positioning.

Career Platform Research

Build filtered job datasets for dashboards, trend reports, and internal research. Export in multiple formats for analysts, recruiters, and operations teams.

Input Parameters

Output Data

Each dataset item contains structured job information.

Usage Examples

Basic Job Collection

Collect 50 recent English listings:

{
"language":"en",
"results_wanted":50
}

Keyword and Location Search

Collect marketing jobs in France:

{
"keyword":"marketing",
"location":"France",
"language":"fr",
"results_wanted":100
}

Fresh Listings Only

Collect developer roles posted in the last 7 days:

{
"keyword":"developer",
"posted_within":"7d",
"language":"en",
"results_wanted":75
}

Targeted Quick Scan

Collect a focused data analyst dataset:

{
"keyword":"data analyst",
"results_wanted":40
}

Sample Output

{
"title":"Business Developer (Paris)",
"company":"BrightAnalytics",
"location":"Paris",
"date_posted":"2026-02-11T14:12:48.000Z",
"job_type":"Full time Position",
"job_category":"Sales & Business Development",
"salary":null,
"description_html":null,
"description_text":"Join our growth team and help scale our customer portfolio...",
"job_url":"https://www.jobteaser.com/en/job-offers/e04167f4-1a60-4ccb-96bf-620f2ec2789e-brightanalytics-business-developer-paris",
"source":"search-api",
"job_id":"e04167f4-1a60-4ccb-96bf-620f2ec2789e",
"locale":"en",
"remote_type":"remote_partial_allowed"
}

Tips for Best Results

Start Small, Then Scale

• Begin with results_wanted between 20 and 50
• Validate output quality first
• Increase volume after confirming filters

Use Precise Keywords

• Prefer role-specific terms like sales manager over broad terms like manager
• Test multiple keyword variants for better coverage

Improve Location Accuracy

• Use clear place names such as Paris or Germany
• Keep location filters short and unambiguous

Tune Freshness Filters

• Use 24h for daily monitoring
• Use 7d or 30d for broader market scans

Proxy Configuration

• Use Apify Proxy for better stability on larger runs
• Residential proxy groups are recommended for robust collection

Integrations

Connect output data with:

• Google Sheets - Track hiring trends in shared spreadsheets
• Airtable - Build searchable job intelligence tables
• Slack - Send run summaries and alerts to your team
• Webhook - Push results to your own API or workflow
• Make - Automate post-processing and enrichment flows
• Zapier - Trigger actions in business tools

Export Formats

• JSON - Developer-friendly structured data
• CSV - Spreadsheet and BI workflows
• Excel - Business reporting and sharing
• XML - System-to-system exchange

Frequently Asked Questions

How many jobs can I collect per run?

You can control volume with results_wanted. Start small for testing and increase for production runs.

Can I filter by language and date?

Yes. Use language and posted_within together to target specific listing segments.

Why are some fields empty?

Some listings may not provide all fields, such as salary or full descriptions.

Does this support location filtering?

Yes. Use the location input to narrow results by city, country, or region text.

Can I automate recurring collection?

Yes. Schedule actor runs in Apify and deliver data to datasets, webhooks, or external tools.

Support

For issues or feature requests, use the Apify Console issue and support channels.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

Legal Notice

This actor is designed for legitimate data collection purposes. You are responsible for complying with website terms, local laws, and data usage regulations in your jurisdiction.