Scrape GitHub profiles into a detailed Google Sheets report

Pulls detailed GitHub profile data for a list of candidates and organizes it into a clean report in Google Sheets.

How the work actually flows

A straight line. Runs once per each github profile url.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig[\"candidate list added to sheet"\]:::trigdata s0[("Read list of GitHub URLs")]:::store s1[["Scrape each profile"]]:::mi s2["Announce start in Slack"]:::svc s3[("Create report tab in Sheets")]:::store trig --> s0 s0 -->|"one per each GitHub profile URL"| s1 s1 --> s2 s2 --> s3 out[/"per candidate GitHub report created"/]:::out pay{{"screen developer candidates faster"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itAn outside serviceRuns once per itemA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Messaging & NotificationsSpreadsheet & Database OpsReporting & AnalyticsWeb Scraping & Data Collection
Connects
GitHubGoogle SheetsSlackBrowserAct

The problem it solves

Reviewing GitHub profiles one by one to check a candidate's repositories, activity, and background takes forever, especially when you're screening a long list of developers. You end up with scattered notes instead of a clear comparison.

Who it fits

Technical recruiters and talent teams who need to evaluate a list of developer candidates quickly.

How it works

  1. You provide a list of GitHub profile URLs in Google Sheets
  2. The system visits each profile and scrapes their info, repositories, and social links
  3. A Slack message announces when each candidate's scraping starts
  4. The data is cleaned up and organized into a dedicated report for each person
  5. A new Google Sheets tab is created with their profile, links, and repositories
What you get

Candidate profiles researched before you reach out

You get a detailed report on each candidate's GitHub activity, repositories, and links organized into a spreadsheet automatically.

What you get

A structured, per-candidate report in Google Sheets covering profile data, links, and repositories.

What you need

A Google Sheets account, a Slack workspace, and a BrowserAct account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Back to the AI Playbook