The Scenario
Someone on the talent intelligence team left last month. Their replacement inherited a spreadsheet: 50 job-title-plus-city combinations, a note that says "pull Google Jobs data weekly," and no documentation on how that was actually done. The weekly hiring report is due to the head of people operations by Thursday.
The bad version:
- Search "senior data analyst Chicago" in Google, scroll to the Jobs panel, read the first few postings, manually log employer names, salary ranges where visible, and posting dates into the sheet
- Repeat for the remaining 49 rows, noticing that some queries return 12 postings and some return 3, so the columns you set up for "top 5" are inconsistent
- Spend extra time at the end manually deciding which rows are "enough" data to be meaningful, which is now a judgment call rather than a consistent methodology
The hiring report is a strategic input. It should reflect data, not the analyst's patience level that week.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the query list in column A, calls SerpApi's Google Jobs endpoint for each one, and writes the hiring data back — all 50 rows, with consistent field extraction. One prompt.
For each job query in column A, search Google Jobs via SerpApi and paste the top 5 results including job title, company, location, and salary into the next 20 columns
What You Get
- For each of the top 5 postings: job title, company name, location, and salary range each land in their own column
- Queries with fewer than 5 active postings leave the later column groups blank rather than backfilling with wrong data
- Postings without a listed salary get a blank in the salary column rather than a zero that would distort any averages you build later
What If the Data Is Not Quite Ready
Queries in column A mix job titles and location in different formats
Standardize each query in column A to "job title in city, state" format before searching Google Jobs via SerpApi, then write the top 5 postings with job title, company, and salary into the next 20 columns
You want a count of total open postings, not just the top 5
For each role query in column A, search Google Jobs via SerpApi and write the total number of active postings, the most common employer, and the median listed salary into columns B, C, and D
Salary ranges are strings that vary in format
For each query in column A, search Google Jobs via SerpApi, extract the salary range for each of the top 5 postings, normalize all values to annual USD, and write the low end and high end of each salary range into separate columns
Full pull, summarize, and flag in one prompt
Search Google Jobs via SerpApi for each query in column A, write the top 3 postings with job title, company, and salary into columns B through J, calculate the average listed salary for each row in column K, and flag in column L any role where fewer than 3 postings exist
One prompt, one pass, hiring intelligence and coverage gaps together.
Try It
Get the 7-day free trial of SheetXAI and open your talent intelligence workbook, then ask SheetXAI to pull Google Jobs data for every role-city combination. Also see the spoke on bulk-pulling Google Finance data for company screening, or the hub overview of all SerpApi workflows.