signalDEV Community2026-10-02
How to Scrape Google Jobs with Python (Salaries, Apply Links and Daily Alerts)
This article shows how to extract Google Jobs results as clean JSON or CSV using Apify's Google Jobs Scraper. It covers three methods: no-code, a Python script, and daily Slack alerts. The scraper returns parsed salaries, direct apply links, and real posting dates, overcoming Google's blocking and JavaScript loading.
- for who
- Job market researchers, salary benchmarkers, and developers building job boards.
- why now
- New Apify scraper extracts Google Jobs salaries and apply links for daily alerts.
- what changes
- They can now programmatically access structured job data with salaries and apply links, replacing manual extraction.
- to do
- Use the Apify Google Jobs Scraper to run queries and download results, or integrate the provided Python script with a cost cap.
key points
- Apify Google Jobs Scraper provides structured job data with salaries and apply links.
- Three methods: no-code, Python script, and daily Slack alerts.
- Python example includes cost cap of $0.50 and max 30 jobs per search.
#python#crawler#job data#apify
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