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Claude Skill for direct access to Google Search Console, GA4, and Bing Webmaster Tools data — query your real SEO number
A Claude Skill for direct, authenticated SEO data access — Google Search Console, Google Analytics 4, and Bing Webmaster Tools in one place.
Most "SEO skills" you'll find are prompt instructions that tell Claude how to audit a site. This one connects Claude to your actual data: query stats, traffic, conversions, crawl health. You ask a question, Claude pulls the numbers and answers from the source.
The skill works with whatever subset you've connected. Have only GSC? You get GSC. Have all three? Claude can cross-reference search performance against on-site behavior and Bing visibility in a single answer.
~/.seo-data/; nothing leaves your machine except calls to the official APIsOption A — Let an AI agent do it for you (recommended)
If you have Claude Code, Cursor, Cline, Aider, or any other AI coding agent, this is by far the easiest path. Clone the repo, open the agent inside it, and say:
"Read AGENT.md and set this up for me."
The agent will install dependencies, copy the skill into the right place, walk you through the Google Cloud Console click-by-click, ask you for your Bing API key, and verify everything works. It only stops to ask you for the things only you can do (clicking buttons in your browser, pasting credentials).
See AGENT.md for the full agent runbook.
Option B — Do it yourself
Follow the human walkthrough in docs/SETUP.md. It covers every step explicitly:
pip install -r requirements.txt, copy into your Claude skills directoryBoth paths land you at the same place: a seo-data skill installed, all your providers connected, and Claude ready to query your real data.
Once connected, the skill triggers automatically on SEO/analytics questions:
"What were our top queries last week?" "Which pages got the most traffic from organic search?" "Show me Bing impressions trend for the last 30 days." "Cross-reference GSC queries with GA4 conversions for the same landing pages." "Diagnose this traffic drop."
Claude figures out which provider(s) can answer, calls the relevant scripts, and presents the data.
The skill is just a folder of Python scripts. You can call them directly without Claude:
cd ~/.claude/skills/seo-data
# What's connected?
python scripts/status.py
# Connect Google (opens browser)
python scripts/connect_google.py
# Connect Bing
python scripts/connect_bing.py --api-key <KEY>
# Switch property
python scripts/set_property.py --provider gsc --site https://example.com/
python scripts/set_property.py --provider ga4 --property 123456789
# Disconnect
python scripts/disconnect.py google
python scripts/disconnect.py bing
# Run a report
python scripts/gsc_query.py --report queries --days 30 --limit 20
python scripts/ga4_query.py --report sources --days 7
python scripts/bing_query.py --report traffic --days 30
All query scripts support --output table|json|csv (default table).
gsc_query.py| Report | Returns |
|---|---|
queries | Top search queries (clicks, impressions, CTR, position) |
pages | Top landing pages |
countries | Performance by country |
devices | Desktop / mobile / tablet split |
daily | Day-by-day trend |
query-pages | Which pages rank for which queries |
custom | Pass --dimensions and optional filter |
ga4_query.py| Report | Returns |
|---|---|
overview | Users, sessions, page views, engagement, bounce |
pages | Top pages by views |
sources | Traffic sources (source × medium) |
countries | Geographic breakdown |
devices | Device category split |
daily | Day-by-day trend |
realtime | Active users in last 30 minutes |
custom | Pass --metrics and --dimensions |
bing_query.py| Report | Returns |
|---|---|
queries | Top search queries (aggregated across the date window) |
pages | Top pages |
traffic | Daily impressions, clicks, CTR |
crawl | Daily crawl: pages crawled, status code breakdown, in-index, in-links, errors |
keywords | Keyword research for a term (requires --query) |
seo-data/
├── SKILL.md # Claude-facing skill instructions
├── README.md # This file
├── requirements.txt
├── lib/
│ ├── config.py # Token + property storage at ~/.seo-data/
│ ├── google_auth.py # OAuth loopback flow + GSC/GA4 listing
│ ├── bing_auth.py # API key validation + Bing API caller
│ └── formatting.py # Shared table / JSON / CSV output
├── scripts/
│ ├── status.py # JSON of connection state
│ ├── connect_google.py # OAuth flow
│ ├── connect_bing.py # API key entry
│ ├── disconnect.py # Clear a provider
│ ├── set_property.py # Pick GSC site / GA4 property / Bing site
│ ├── gsc_query.py # Search Console reports
│ ├── ga4_query.py # GA4 reports
│ └── bing_query.py # Bing Webmaster reports
├── docs/
│ └── SETUP.md # Full human walkthrough (install + all 3 providers)
└── AGENT.md # Runbook for AI coding agents to automate setup
All under ~/.seo-data/ (or %USERPROFILE%\.seo-data\ on Windows):
google_client.json -- your OAuth client config (you provide this once)config.json -- refresh tokens, API keys, selected propertiesOn POSIX systems, the directory is created with 0700 permissions. The skill makes API calls only to:
oauth2.googleapis.com (token refresh)searchconsole.googleapis.com (GSC)analyticsadmin.googleapis.com (GA4 property listing)analyticsdata.googleapis.com (GA4 reports)ssl.bing.com/webmaster/api.svc/json/ (Bing)No third-party servers, no telemetry.
| Document | Description |
|---|---|
| Setup Guide | Full human walkthrough -- install, connect all 3 providers, troubleshooting |
| Agent Runbook | Instructions for AI coding agents to automate setup end-to-end |
| Skill Reference | How Claude uses the skill -- workflows, behavior rules |
Contributions are welcome but this project is maintained on a best-effort basis. PRs may not be reviewed immediately. See CONTRIBUTING.md for guidelines.
Apache 2.0 -- see LICENSE for details.
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