Recruiting teams
Target role research
Export current Microsoft job listings for skills like data science, security, AI, product management, or cloud engineering before building sourcing briefs.
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The Microsoft Careers Scraper turns a keyword search on Microsoft Careers into a structured CSV for recruiting research, talent-market monitoring, and spreadsheet analysis. Import the template, update the starter keyword from data science when needed, and export keyword, result type, title, job link, and listing summary without building your own Microsoft Careers extractor.
CSV file
5
Automatic
Keyword
Free import
At a glance
Start from a live careers search
The template navigates to Microsoft Careers, enters the configured search phrase, and submits the results page the same way a researcher would. That makes it useful for quick scrape Microsoft Careers projects where the source keyword matters as much as the listing title.
Keep the export simple
Each row is shaped for spreadsheet work: keyword, type, title, link, and abstract. Recruiters can filter titles, analysts can group by keyword, and operations teams can append multiple runs into one CSV.
Walk result pages automatically
After every Structured Export, the workflow checks whether an enabled pagination Next button exists. If it does, UScraper clicks it, waits for fresh results, and loops back through extraction.
Run from your own desktop session
Browser automation, waits, JavaScript row-building, and CSV output happen in the local desktop app. Your keyword list and exported Microsoft jobs stay in the folder you choose.
Who uses it
Recruiting teams
Target role research
Export current Microsoft job listings for skills like data science, security, AI, product management, or cloud engineering before building sourcing briefs.
Labor-market analysts
Hiring signal tracking
Monitor title language, posting velocity, and role clusters over repeated searches. The exported keyword column keeps each batch tied to the original research question.
Career content teams
Role taxonomy review
Compare titles and summaries across Microsoft jobs, then use the CSV to plan salary pages, role explainers, job-alert taxonomies, or competitive hiring dashboards.
How to use
Set your search keyword
The starter workflow searches data science. Update the Type Text block and the matching parser keyword when you want to collect another Microsoft Careers search.
Confirm the save folder
Structured Export writes microsoft-research-scraper.csv with headers in append mode. Change the folder if your recruiting or research team uses a shared intake location.
Run the pagination loop
UScraper loads results, waits for Posted text, creates structured rows, exports the visible page, then clicks Next while Microsoft Careers keeps offering another page.
Open and review the CSV
Open the file in Excel, Sheets, or a BI tool. Spot-check several titles and summaries against Microsoft Careers before using the data for outreach, reporting, or enrichment.
Output preview
microsoft-research-scraper.csvColumn
keyword
The configured search term used for the run, such as data science.
Column
type
The row category generated by the parser, usually Career Opportunity.
Column
title
Clean job title inferred from the visible listing card.
Column
link
Job detail URL when Microsoft exposes one in the listing DOM.
Column
abstract
Visible listing text, including posted date and available context.
Sample rows
2 of many
| keyword | type | title | link | abstract |
|---|---|---|---|---|
| data science | Career Opportunity | Senior Data Scientist | Senior Data Scientist Redmond, United States Posted 2 days ago... | |
| data science | Career Opportunity | Applied Scientist II | Applied Scientist II Multiple Locations Posted a week ago... |
The link and abstract fields are best-effort because Microsoft Careers is dynamic. Some listing rows expose a job detail URL directly; others only expose visible result text until the user opens the detail page. For adjacent recruiting workflows, try the US Job Search Aggregator, Mynavi Job Scraper, and En Haken Jobs Scraper, or browse the full UScraper template library.
Comparison
This UScraper template
LocalHosted actors and cloud scrapers
CloudRuns in your local desktop app
You can see the browser, keyword, waits, and pagination behavior.
Runs on vendor infrastructure
Convenient for APIs, but runtime custody and logs live elsewhere.
Writes CSV to your chosen folder
Useful when hiring research must stay inside your workstation controls.
Exports through a hosted dashboard
Often requires accounts, credits, and data retention review.
Repeatable keyword monitoring
Good for targeted searches, lightweight snapshots, and spreadsheet workflows.
Managed crawling at scale
Better when infrastructure outsourcing matters more than local custody.
Microsoft Careers pages may be publicly reachable, but automated collection can still be limited by Microsoft terms, robots directives, copyright, privacy rules, database rights, and local law. Keep volume modest, do not bypass access controls, avoid collecting unnecessary personal data, and get legal advice before using exports commercially.
Before you scale
Practical guardrails for Microsoft Careers exports
Run modest keyword batches
Keep the built-in waits, avoid parallel runs, and add more delay if Microsoft Careers responds slowly. Stop automation when the site asks for verification.
React markup can change
The parser creates stable synthetic rows because the visible result DOM is dynamic. If many titles, links, or abstracts become blank, update the parser before collecting more data.
Some listings may not expose links
Microsoft Careers sometimes hides job detail links or detailed summaries inside interactive cards. In those cases, link may be blank and abstract falls back to visible listing text.
Respect Microsoft terms and privacy obligations
Local custody helps with data handling, but it does not grant permission to republish, resell, or over-collect job data. Review source rules and your own compliance policy before operational use.
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