Andrew Yim
eea49f9f8c
Major refactoring of ourdigital-custom-skills with new numbering system: ## Structure Changes - Each skill now has code/ (Claude Code) and desktop/ (Claude Desktop) versions - New progressive numbering: 01-09 General, 10-19 SEO, 20-29 GTM, 30-39 OurDigital, 40-49 Jamie ## Skill Reorganization - 01-notion-organizer (from 02) - 10-18: SEO tools split into focused skills (technical, on-page, local, schema, vitals, gsc, gateway) - 20-21: GTM audit and manager - 30-32: OurDigital designer, research, presentation - 40-41: Jamie brand editor and audit ## New Files - .claude/commands/: Slash command definitions for all skills - CLAUDE.md: Updated with new skill structure documentation - REFACTORING_PLAN.md: Migration documentation - COMPATIBILITY_REPORT.md, SKILLS_COMPARISON.md: Analysis docs ## Removed - Old skill directories (02-05, 10-14, 20-21 old numbering) - Consolidated into new structure with _archive/ for reference 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
410 lines
13 KiB
Python
410 lines
13 KiB
Python
"""
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Google Search Console Client
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============================
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Purpose: Interact with Google Search Console API for SEO data
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Python: 3.10+
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Usage:
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from gsc_client import SearchConsoleClient
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client = SearchConsoleClient()
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data = client.get_search_analytics("sc-domain:example.com")
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"""
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import logging
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from dataclasses import dataclass, field
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from datetime import datetime, timedelta
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from typing import Any
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from google.oauth2 import service_account
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from googleapiclient.discovery import build
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from base_client import config
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s - %(levelname)s - %(message)s",
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)
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logger = logging.getLogger(__name__)
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@dataclass
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class SearchAnalyticsResult:
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"""Search analytics query result."""
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rows: list[dict] = field(default_factory=list)
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total_clicks: int = 0
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total_impressions: int = 0
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average_ctr: float = 0.0
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average_position: float = 0.0
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@dataclass
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class SitemapInfo:
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"""Sitemap information from Search Console."""
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path: str
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last_submitted: str | None = None
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last_downloaded: str | None = None
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is_pending: bool = False
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is_sitemaps_index: bool = False
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warnings: int = 0
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errors: int = 0
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class SearchConsoleClient:
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"""Client for Google Search Console API."""
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SCOPES = ["https://www.googleapis.com/auth/webmasters.readonly"]
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def __init__(self, credentials_path: str | None = None):
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"""
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Initialize Search Console client.
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Args:
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credentials_path: Path to service account JSON key
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"""
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self.credentials_path = credentials_path or config.google_credentials_path
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self._service = None
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@property
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def service(self):
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"""Get or create Search Console service."""
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if self._service is None:
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if not self.credentials_path:
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raise ValueError(
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"Google credentials not configured. "
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"Set GOOGLE_APPLICATION_CREDENTIALS environment variable."
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)
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credentials = service_account.Credentials.from_service_account_file(
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self.credentials_path,
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scopes=self.SCOPES,
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)
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self._service = build("searchconsole", "v1", credentials=credentials)
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return self._service
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def list_sites(self) -> list[dict]:
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"""List all sites accessible to the service account."""
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response = self.service.sites().list().execute()
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return response.get("siteEntry", [])
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def get_search_analytics(
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self,
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site_url: str,
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start_date: str | None = None,
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end_date: str | None = None,
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dimensions: list[str] | None = None,
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row_limit: int = 25000,
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filters: list[dict] | None = None,
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) -> SearchAnalyticsResult:
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"""
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Get search analytics data.
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Args:
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site_url: Site URL (e.g., "sc-domain:example.com" or "https://example.com/")
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start_date: Start date (YYYY-MM-DD), defaults to 30 days ago
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end_date: End date (YYYY-MM-DD), defaults to yesterday
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dimensions: List of dimensions (query, page, country, device, date)
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row_limit: Maximum rows to return
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filters: Dimension filters
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Returns:
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SearchAnalyticsResult with rows and summary stats
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"""
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# Default date range: last 30 days
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if not end_date:
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end_date = (datetime.now() - timedelta(days=1)).strftime("%Y-%m-%d")
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if not start_date:
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start_date = (datetime.now() - timedelta(days=30)).strftime("%Y-%m-%d")
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# Default dimensions
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if dimensions is None:
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dimensions = ["query", "page"]
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request_body = {
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"startDate": start_date,
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"endDate": end_date,
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"dimensions": dimensions,
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"rowLimit": row_limit,
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}
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if filters:
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request_body["dimensionFilterGroups"] = [{"filters": filters}]
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try:
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response = self.service.searchanalytics().query(
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siteUrl=site_url,
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body=request_body,
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).execute()
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except Exception as e:
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logger.error(f"Failed to query search analytics: {e}")
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raise
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rows = response.get("rows", [])
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# Calculate totals
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total_clicks = sum(row.get("clicks", 0) for row in rows)
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total_impressions = sum(row.get("impressions", 0) for row in rows)
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total_ctr = sum(row.get("ctr", 0) for row in rows)
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total_position = sum(row.get("position", 0) for row in rows)
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avg_ctr = total_ctr / len(rows) if rows else 0
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avg_position = total_position / len(rows) if rows else 0
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return SearchAnalyticsResult(
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rows=rows,
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total_clicks=total_clicks,
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total_impressions=total_impressions,
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average_ctr=avg_ctr,
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average_position=avg_position,
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)
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def get_top_queries(
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self,
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site_url: str,
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limit: int = 100,
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start_date: str | None = None,
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end_date: str | None = None,
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) -> list[dict]:
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"""Get top search queries by clicks."""
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result = self.get_search_analytics(
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site_url=site_url,
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dimensions=["query"],
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row_limit=limit,
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start_date=start_date,
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end_date=end_date,
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)
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# Sort by clicks
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sorted_rows = sorted(
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result.rows,
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key=lambda x: x.get("clicks", 0),
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reverse=True,
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)
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return [
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{
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"query": row["keys"][0],
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"clicks": row.get("clicks", 0),
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"impressions": row.get("impressions", 0),
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"ctr": row.get("ctr", 0),
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"position": row.get("position", 0),
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}
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for row in sorted_rows[:limit]
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]
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def get_top_pages(
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self,
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site_url: str,
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limit: int = 100,
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start_date: str | None = None,
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end_date: str | None = None,
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) -> list[dict]:
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"""Get top pages by clicks."""
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result = self.get_search_analytics(
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site_url=site_url,
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dimensions=["page"],
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row_limit=limit,
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start_date=start_date,
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end_date=end_date,
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)
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sorted_rows = sorted(
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result.rows,
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key=lambda x: x.get("clicks", 0),
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reverse=True,
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)
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return [
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{
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"page": row["keys"][0],
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"clicks": row.get("clicks", 0),
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"impressions": row.get("impressions", 0),
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"ctr": row.get("ctr", 0),
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"position": row.get("position", 0),
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}
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for row in sorted_rows[:limit]
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]
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def get_sitemaps(self, site_url: str) -> list[SitemapInfo]:
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"""Get list of sitemaps for a site."""
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try:
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response = self.service.sitemaps().list(siteUrl=site_url).execute()
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except Exception as e:
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logger.error(f"Failed to get sitemaps: {e}")
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raise
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sitemaps = []
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for sm in response.get("sitemap", []):
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sitemaps.append(SitemapInfo(
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path=sm.get("path", ""),
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last_submitted=sm.get("lastSubmitted"),
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last_downloaded=sm.get("lastDownloaded"),
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is_pending=sm.get("isPending", False),
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is_sitemaps_index=sm.get("isSitemapsIndex", False),
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warnings=sm.get("warnings", 0),
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errors=sm.get("errors", 0),
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))
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return sitemaps
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def submit_sitemap(self, site_url: str, sitemap_url: str) -> bool:
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"""Submit a sitemap for indexing."""
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try:
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self.service.sitemaps().submit(
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siteUrl=site_url,
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feedpath=sitemap_url,
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).execute()
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logger.info(f"Submitted sitemap: {sitemap_url}")
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return True
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except Exception as e:
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logger.error(f"Failed to submit sitemap: {e}")
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return False
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def inspect_url(self, site_url: str, inspection_url: str) -> dict:
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"""
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Inspect a URL's indexing status.
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Note: This uses the URL Inspection API which may have different quotas.
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"""
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try:
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response = self.service.urlInspection().index().inspect(
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body={
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"inspectionUrl": inspection_url,
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"siteUrl": site_url,
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}
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).execute()
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result = response.get("inspectionResult", {})
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return {
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"url": inspection_url,
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"indexing_state": result.get("indexStatusResult", {}).get(
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"coverageState", "Unknown"
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),
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"last_crawl_time": result.get("indexStatusResult", {}).get(
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"lastCrawlTime"
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),
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"crawled_as": result.get("indexStatusResult", {}).get("crawledAs"),
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"robots_txt_state": result.get("indexStatusResult", {}).get(
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"robotsTxtState"
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),
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"mobile_usability": result.get("mobileUsabilityResult", {}).get(
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"verdict", "Unknown"
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),
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"rich_results": result.get("richResultsResult", {}).get(
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"verdict", "Unknown"
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),
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}
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except Exception as e:
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logger.error(f"Failed to inspect URL: {e}")
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raise
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def get_performance_summary(
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self,
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site_url: str,
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days: int = 30,
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) -> dict:
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"""Get a summary of search performance."""
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end_date = (datetime.now() - timedelta(days=1)).strftime("%Y-%m-%d")
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start_date = (datetime.now() - timedelta(days=days)).strftime("%Y-%m-%d")
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# Get overall stats
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overall = self.get_search_analytics(
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site_url=site_url,
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dimensions=[],
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start_date=start_date,
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end_date=end_date,
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)
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# Get top queries
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top_queries = self.get_top_queries(
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site_url=site_url,
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limit=10,
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start_date=start_date,
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end_date=end_date,
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)
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# Get top pages
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top_pages = self.get_top_pages(
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site_url=site_url,
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limit=10,
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start_date=start_date,
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end_date=end_date,
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)
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# Get by device
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by_device = self.get_search_analytics(
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site_url=site_url,
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dimensions=["device"],
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start_date=start_date,
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end_date=end_date,
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)
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device_breakdown = {}
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for row in by_device.rows:
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device = row["keys"][0]
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device_breakdown[device] = {
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"clicks": row.get("clicks", 0),
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"impressions": row.get("impressions", 0),
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"ctr": row.get("ctr", 0),
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"position": row.get("position", 0),
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}
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return {
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"period": f"{start_date} to {end_date}",
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"total_clicks": overall.total_clicks,
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"total_impressions": overall.total_impressions,
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"average_ctr": overall.average_ctr,
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"average_position": overall.average_position,
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"top_queries": top_queries,
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"top_pages": top_pages,
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"by_device": device_breakdown,
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}
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def main():
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"""Test the Search Console client."""
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import argparse
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parser = argparse.ArgumentParser(description="Google Search Console Client")
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parser.add_argument("--site", "-s", required=True, help="Site URL")
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parser.add_argument("--action", "-a", default="summary",
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choices=["summary", "queries", "pages", "sitemaps", "inspect"],
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help="Action to perform")
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parser.add_argument("--url", help="URL to inspect")
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parser.add_argument("--days", type=int, default=30, help="Days of data")
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args = parser.parse_args()
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client = SearchConsoleClient()
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if args.action == "summary":
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summary = client.get_performance_summary(args.site, args.days)
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import json
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print(json.dumps(summary, indent=2, default=str))
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elif args.action == "queries":
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queries = client.get_top_queries(args.site)
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for q in queries[:20]:
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print(f"{q['query']}: {q['clicks']} clicks, pos {q['position']:.1f}")
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elif args.action == "pages":
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pages = client.get_top_pages(args.site)
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for p in pages[:20]:
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print(f"{p['page']}: {p['clicks']} clicks, pos {p['position']:.1f}")
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elif args.action == "sitemaps":
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sitemaps = client.get_sitemaps(args.site)
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for sm in sitemaps:
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print(f"{sm.path}: errors={sm.errors}, warnings={sm.warnings}")
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elif args.action == "inspect" and args.url:
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result = client.inspect_url(args.site, args.url)
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import json
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print(json.dumps(result, indent=2))
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if __name__ == "__main__":
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main()
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