Google Jobs to Google Sheets every morning: a recruiter's no-code-ish pipeline
说明与用途
将 Google Jobs 的新职位自动每日推送到 Google Sheets,消除手动复制粘贴和分页限制。
问题
Recruiters manually search Google Jobs each morning, copy new postings into a spreadsheet, spending ~30 min and limited to 10 jobs per page.
结果
Daily automated feed of new job postings with structured salary and apply links, eliminating manual copy‑paste and pagination limits.
工作流
- Run Apify Actor "om_kh/google-jobs-scraper" with search queries, locations, and options such as postedWithin, onlyWithSalary, maxJobsPerSearch.
- Retrieve the Actor’s default dataset items.
- Add each job row to Google Sheets via Make or n8n, mapping title, companyName, location, salary, postedAt, and applyUrl to columns.
证据
If you recruit, you probably open Google Jobs every morning, search the same three or four roles in the same cities, and copy what looks new into a spreadsheet. It works, but it is 30 minutes a day of copy-paste, and Google only shows 10 jobs per page.
I built a Google Jobs Scraper on Apify. Google Jobs merges LinkedIn, Indeed, Glassdoor, ZipRecruiter and company career pages, so one search covers all of them.
Run it on a schedule with Make or n8n. You do not need to host any Python. In Make or n8n, use the Apify module/node and build three steps: Run an Actor, Get Dataset Items, Google Sheets: Add a Row.
- 记录日期: 2026-10-06T15:55:51.761Z