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Search Console

BSecurity

Pull Google Search Console data and perform search performance analysis. Use when asked about search rankings, clicks, impressions, CTR, index coverage, Core Web Vitals, or sitemap status. Trigger phrases: "search console", "GSC", "search performance", "clicks and impressions", "CTR analysis", "index coverage", "core web vitals", "URL inspection", "sitemap status", "ranking data", "search queries", "keyword positions".

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Added 9/20/2026
ai-agentspythongobashexpressapiperformance

Works with

cliapi

Security Analysis

B88/100
criticalDownloads and executes remote scripts — classic supply chain attack

Scanned 9/20/2026

Install to Claude Code

$npx -y skills add unempyd/revenueos --skill search-console --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: search-console
description: >
  Pull Google Search Console data and perform search performance analysis.
  Use when asked about search rankings, clicks, impressions, CTR, index coverage,
  Core Web Vitals, or sitemap status. Trigger phrases: "search console", "GSC",
  "search performance", "clicks and impressions", "CTR analysis", "index coverage",
  "core web vitals", "URL inspection", "sitemap status", "ranking data",
  "search queries", "keyword positions".
---

# Google Search Console

Pull search performance data, index coverage, and Core Web Vitals from Google Search Console API.

## Prerequisites

Requires Google OAuth credentials:
- `GOOGLE_CLIENT_ID`
- `GOOGLE_CLIENT_SECRET`
- A valid OAuth access token with `https://www.googleapis.com/auth/webmasters.readonly` scope

Set credentials in `.env`, `.env.local`, or `~/.claude/.env.global`.

### Getting an Access Token

```bash
# Step 1: Authorization URL (user visits in browser)
echo "https://accounts.google.com/o/oauth2/v2/auth?client_id=${GOOGLE_CLIENT_ID}&redirect_uri=urn:ietf:wg:oauth:2.0:oob&scope=https://www.googleapis.com/auth/webmasters.readonly&response_type=code&access_type=offline"

# Step 2: Exchange code for tokens
curl -s -X POST "https://oauth2.googleapis.com/token" \
  -d "code={AUTH_CODE}" \
  -d "client_id=${GOOGLE_CLIENT_ID}" \
  -d "client_secret=${GOOGLE_CLIENT_SECRET}" \
  -d "redirect_uri=urn:ietf:wg:oauth:2.0:oob" \
  -d "grant_type=authorization_code"

# Step 3: Refresh expired token
curl -s -X POST "https://oauth2.googleapis.com/token" \
  -d "refresh_token={REFRESH_TOKEN}" \
  -d "client_id=${GOOGLE_CLIENT_ID}" \
  -d "client_secret=${GOOGLE_CLIENT_SECRET}" \
  -d "grant_type=refresh_token"
```

### Listing Available Sites

```bash
curl -s -H "Authorization: Bearer ${GSC_ACCESS_TOKEN}" \
  "https://www.googleapis.com/webmasters/v3/sites" \
  | python3 -c "
import json, sys
data = json.load(sys.stdin)
for site in data.get('siteEntry', []):
    print(f\"{site['siteUrl']}  |  Permission: {site['permissionLevel']}\")
"
```

The site URL format is either `https://example.com/` (URL prefix) or `sc-domain:example.com` (domain property).

---

## 1. Search Performance Report

The core report: queries, pages, clicks, impressions, CTR, and average position.

### API Endpoint

```
POST https://www.googleapis.com/webmasters/v3/sites/{siteUrl}/searchAnalytics/query
```

Note: The `{siteUrl}` must be URL-encoded (e.g., `https%3A%2F%2Fexample.com%2F` or `sc-domain%3Aexample.com`).

### Top Queries

```bash
curl -s -X POST \
  "https://www.googleapis.com/webmasters/v3/sites/sc-domain%3Aexample.com/searchAnalytics/query" \
  -H "Authorization: Bearer ${GSC_ACCESS_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "startDate": "2024-01-01",
    "endDate": "2024-03-31",
    "dimensions": ["query"],
    "rowLimit": 50,
    "startRow": 0
  }'
```

### Top Pages

```bash
curl -s -X POST \
  "https://www.googleapis.com/webmasters/v3/sites/sc-domain%3Aexample.com/searchAnalytics/query" \
  -H "Authorization: Bearer ${GSC_ACCESS_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "startDate": "2024-01-01",
    "endDate": "2024-03-31",
    "dimensions": ["page"],
    "rowLimit": 50
  }'
```

### Query + Page Combination

```bash
curl -s -X POST \
  "https://www.googleapis.com/webmasters/v3/sites/sc-domain%3Aexample.com/searchAnalytics/query" \
  -H "Authorization: Bearer ${GSC_ACCESS_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "startDate": "2024-01-01",
    "endDate": "2024-03-31",
    "dimensions": ["query", "page"],
    "rowLimit": 100,
    "dimensionFilterGroups": [{
      "filters": [{
        "dimension": "page",
        "operator": "contains",
        "expression": "/blog/"
      }]
    }]
  }'
```

### Available Dimensions

| Dimension | Description |
|-----------|-------------|
| `query` | Search query |
| `page` | URL |
| `country` | Country code (ISO 3166-1 alpha-3) |
| `device` | `DESKTOP`, `MOBILE`, `TABLET` |
| `date` | Individual date |
| `searchAppearance` | Rich result type |

### Response Parsing

```bash
curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
print(f\"{'Query':<50} {'Clicks':>8} {'Impr':>8} {'CTR':>8} {'Pos':>6}\")
print('-' * 82)
for row in data.get('rows', []):
    keys = ' + '.join(row.get('keys', []))
    print(f\"{keys:<50} {row['clicks']:>8} {row['impressions']:>8} {row['ctr']*100:>7.1f}% {row['position']:>6.1f}\")
"
```

---

## 2. Search Performance by Date

Track daily trends for queries and pages.

```bash
curl -s -X POST \
  "https://www.googleapis.com/webmasters/v3/sites/sc-domain%3Aexample.com/searchAnalytics/query" \
  -H "Authorization: Bearer ${GSC_ACCESS_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "startDate": "2024-01-01",
    "endDate": "2024-03-31",
    "dimensions": ["date"],
    "rowLimit": 1000
  }'
```

To track a specific query over time:

```bash
curl -s -X POST \
  "https://www.googleapis.com/webmasters/v3/sites/sc-domain%3Aexample.com/searchAnalytics/query" \
  -H "Authorization: Bearer ${GSC_ACCESS_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "startDate": "2024-01-01",
    "endDate": "2024-03-31",
    "dimensions": ["date"],
    "dimensionFilterGroups": [{
      "filters": [{
        "dimension": "query",
        "operator": "equals",
        "expression": "your target keyword"
      }]
    }]
  }'
```

---

## 3. Index Coverage (URL Inspection API)

Check if a specific URL is indexed.

### Endpoint

```
POST https://searchconsole.googleapis.com/v1/urlInspection/index:inspect
```

### Example curl

```bash
curl -s -X POST \
  "https://searchconsole.googleapis.com/v1/urlInspection/index:inspect" \
  -H "Authorization: Bearer ${GSC_ACCESS_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "inspectionUrl": "https://example.com/page-to-check",
    "siteUrl": "sc-domain:example.com"
  }'
```

### Response Fields

| Field | Description |
|-------|-------------|
| `inspectionResult.indexStatusResult.coverageState` | `Submitted and indexed`, `Crawled - currently not indexed`, etc. |
| `inspectionResult.indexStatusResult.robotsTxtState` | `ALLOWED` or `DISALLOWED` |
| `inspectionResult.indexStatusResult.indexingState` | `INDEXING_ALLOWED` or `INDEXING_NOT_ALLOWED` |
| `inspectionResult.indexStatusResult.lastCrawlTime` | When Googlebot last crawled |
| `inspectionResult.indexStatusResult.crawledAs` | `DESKTOP` or `MOBILE` |
| `inspectionResult.mobileUsabilityResult.verdict` | `PASS`, `FAIL`, or `VERDICT_UNSPECIFIED` |

---

## 4. Sitemaps

List and check sitemap status.

### List Sitemaps

```bash
curl -s -H "Authorization: Bearer ${GSC_ACCESS_TOKEN}" \
  "https://www.googleapis.com/webmasters/v3/sites/sc-domain%3Aexample.com/sitemaps" \
  | python3 -c "
import json, sys
data = json.load(sys.stdin)
for sm in data.get('sitemap', []):
    print(f\"URL: {sm['path']}\")
    print(f\"  Type: {sm.get('type','')}  |  Submitted: {sm.get('lastSubmitted','')}\")
    print(f\"  URLs discovered: {sm.get('contents',[{}])[0].get('submitted','?')}  |  Indexed: {sm.get('contents',[{}])[0].get('indexed','?')}\")
    print()
"
```

### Submit a Sitemap

```bash
curl -s -X PUT -H "Authorization: Bearer ${GSC_ACCESS_TOKEN}" \
  "https://www.googleapis.com/webmasters/v3/sites/sc-domain%3Aexample.com/sitemaps/https%3A%2F%2Fexample.com%2Fsitemap.xml"
```

---

## 5. Opportunity Identification

Use Search Console data to find SEO opportunities.

### Low-Hanging Fruit: High Impressions, Low CTR

Queries with many impressions but low CTR suggest the title/description needs optimization.

```bash
# Pull queries, then filter for: impressions > 100 AND ctr < 0.03 AND position < 20
curl -s -X POST \
  "https://www.googleapis.com/webmasters/v3/sites/sc-domain%3Aexample.com/searchAnalytics/query" \
  -H "Authorization: Bearer ${GSC_ACCESS_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "startDate": "2024-01-01",
    "endDate": "2024-03-31",
    "dimensions": ["query", "page"],
    "rowLimit": 1000
  }' | python3 -c "
import json, sys
data = json.load(sys.stdin)
print('== Low CTR Opportunities (High impressions, low CTR, good position) ==')
print(f\"{'Query':<40} {'Page':<40} {'Impr':>6} {'CTR':>7} {'Pos':>5}\")
for row in data.get('rows', []):
    if row['impressions'] > 100 and row['ctr'] < 0.03 and row['position'] < 20:
        print(f\"{row['keys'][0]:<40} {row['keys'][1][-40:]:<40} {row['impressions']:>6} {row['ctr']*100:>6.1f}% {row['position']:>5.1f}\")
"
```

### Striking Distance: Position 5-20

Queries ranking on page 1-2 that could be pushed to top 5 with content optimization.

```bash
# Filter for position between 5 and 20 with decent impressions
curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
print('== Striking Distance Keywords (Position 5-20) ==')
opps = [r for r in data.get('rows',[]) if 5 <= r['position'] <= 20 and r['impressions'] > 50]
opps.sort(key=lambda x: x['impressions'], reverse=True)
for row in opps[:30]:
    print(f\"{row['keys'][0]:<50} Pos: {row['position']:>5.1f}  Impr: {row['impressions']:>6}  Clicks: {row['clicks']:>4}\")
"
```

### Cannibalization Detection

Find queries where multiple pages compete for the same keyword.

```bash
# Pull query+page data, then group by query to find duplicates
curl -s -X POST "..." | python3 -c "
import json, sys
from collections import defaultdict
data = json.load(sys.stdin)
query_pages = defaultdict(list)
for row in data.get('rows', []):
    query_pages[row['keys'][0]].append({
        'page': row['keys'][1],
        'clicks': row['clicks'],
        'impressions': row['impressions'],
        'position': row['position']
    })
print('== Keyword Cannibalization (multiple pages for same query) ==')
for query, pages in sorted(query_pages.items(), key=lambda x: -sum(p['impressions'] for p in x[1])):
    if len(pages) > 1:
        total_impr = sum(p['impressions'] for p in pages)
        if total_impr > 100:
            print(f\"\nQuery: {query} ({total_impr} total impressions)\")
            for p in sorted(pages, key=lambda x: -x['impressions']):
                print(f\"  {p['page'][-60:]}  Pos: {p['position']:.1f}  Impr: {p['impressions']}  Clicks: {p['clicks']}\")
"
```

---

## Workflow: Full Search Performance Audit

When asked for a complete GSC audit:

1. **Overall Metrics**: Total clicks, impressions, avg CTR, avg position for last 90 days vs previous 90 days
2. **Top 30 Queries**: By clicks, with CTR and position
3. **Top 20 Pages**: By clicks, with CTR and position
4. **Device Breakdown**: Desktop vs mobile performance
5. **Low-Hanging Fruit**: High impressions + low CTR opportunities
6. **Striking Distance**: Position 5-20 keywords with optimization potential
7. **Cannibalization**: Queries with multiple competing pages
8. **Index Coverage**: Spot-check important URLs
9. **Sitemap Health**: Verify sitemaps are submitted and indexed

### Report Format

```
## Search Console Audit: {domain}
### Period: {date range}

### Summary
| Metric | Current | Previous | Change |
|--------|---------|----------|--------|
| Clicks | X | Y | +Z% |
| Impressions | X | Y | +Z% |
| Avg CTR | X% | Y% | +Z pp |
| Avg Position | X | Y | +Z |

### Top Queries
| Query | Clicks | Impressions | CTR | Position |
|-------|--------|-------------|-----|----------|
| ...   | ...    | ...         | ... | ...      |

### Optimization Opportunities

#### Title/Description Optimization (High Impressions, Low CTR)
1. "{query}" - {impressions} impressions, {ctr}% CTR, position {pos}
   - Page: {url}
   - Recommendation: ...

#### Content Optimization (Striking Distance)
1. "{query}" - position {pos}, {impressions} impressions
   - Action: Add {query} to H2, expand section on {topic}

#### Cannibalization Fixes
1. "{query}" appears on {n} pages
   - Consolidate to: {best_url}
   - Redirect/noindex: {other_urls}
```

---

## Rate Limits

- Search Analytics API: 1,200 queries per minute
- URL Inspection API: 2,000 inspections per day per property
- Data freshness: Search data is typically 2-3 days behind

## Common Errors

| Error | Cause | Fix |
|-------|-------|-----|
| 403 | No access to this property | Verify ownership in GSC |
| 400 | Invalid date range | Dates must be within last 16 months |
| Empty rows | No data matching filters | Broaden date range or remove filters |

Attribution

unempydunempyd
View sourceMore from unempyd →
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