search-console

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese

Google Search Console

Google Search Console

Pull search performance data, index coverage, and Core Web Vitals from Google Search Console API.
从Google Search Console API拉取搜索表现数据、索引覆盖率和Core Web Vitals数据。

Prerequisites

前置条件

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
.
需要Google OAuth凭证:
  • GOOGLE_CLIENT_ID
  • GOOGLE_CLIENT_SECRET
  • 拥有
    https://www.googleapis.com/auth/webmasters.readonly
    权限范围的有效OAuth访问令牌
.env
.env.local
~/.claude/.env.global
中设置凭证。

Getting an Access Token

获取访问令牌

bash
undefined
bash
undefined

Step 1: Authorization URL (user visits in browser)

步骤1:授权URL(用户在浏览器中访问)

Step 2: Exchange code for tokens

步骤2:用授权码交换令牌

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"
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

步骤3:刷新过期的令牌

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"
undefined
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"
undefined

Listing Available Sites

列出可用站点

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).

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']}  |  权限: {site['permissionLevel']}\")
"
站点URL格式可以是
https://example.com/
(URL前缀)或
sc-domain:example.com
(域名属性)。

1. Search Performance Report

1. 搜索表现报告

The core report: queries, pages, clicks, impressions, CTR, and average position.
核心报告:查询词、页面、点击量、曝光量、CTR和平均排名。

API Endpoint

API端点

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
).
POST https://www.googleapis.com/webmasters/v3/sites/{siteUrl}/searchAnalytics/query
注意:
{siteUrl}
必须进行URL编码(例如:
https%3A%2F%2Fexample.com%2F
sc-domain%3Aexample.com
)。

Top Queries

热门查询词

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
  }'
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

热门页面

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
  }'
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

查询词+页面组合

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/"
      }]
    }]
  }'
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

可用维度

DimensionDescription
query
Search query
page
URL
country
Country code (ISO 3166-1 alpha-3)
device
DESKTOP
,
MOBILE
,
TABLET
date
Individual date
searchAppearance
Rich result type
维度说明
query
搜索查询词
page
URL
country
国家代码(ISO 3166-1 alpha-3)
device
DESKTOP
MOBILE
TABLET
date
单个日期
searchAppearance
富结果类型

Response Parsing

响应解析

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}\")
"

bash
curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
print(f\"{'查询词':<50} {'点击量':>8} {'曝光量':>8} {'CTR':>8} {'排名':>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

2. 按日期统计的搜索表现

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"
      }]
    }]
  }'

追踪查询词和页面的每日趋势。
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
  }'
追踪特定查询词的时间趋势:
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)

3. 索引覆盖率(URL检测API)

Check if a specific URL is indexed.
检查特定URL是否已被索引。

Endpoint

端点

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

Example curl

curl示例

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"
  }'
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

响应字段

FieldDescription
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

字段说明
inspectionResult.indexStatusResult.coverageState
Submitted and indexed
(已提交并索引)、
Crawled - currently not indexed
(已抓取 - 当前未索引)等
inspectionResult.indexStatusResult.robotsTxtState
ALLOWED
(允许)或
DISALLOWED
(禁止)
inspectionResult.indexStatusResult.indexingState
INDEXING_ALLOWED
(允许索引)或
INDEXING_NOT_ALLOWED
(不允许索引)
inspectionResult.indexStatusResult.lastCrawlTime
Googlebot上次抓取的时间
inspectionResult.indexStatusResult.crawledAs
DESKTOP
(桌面端)或
MOBILE
(移动端)
inspectionResult.mobileUsabilityResult.verdict
PASS
(通过)、
FAIL
(失败)或
VERDICT_UNSPECIFIED
(未指定)

4. Sitemaps

4. 站点地图

List and check sitemap status.
列出并检查站点地图状态。

List Sitemaps

列出站点地图

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()
"
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\"  类型: {sm.get('type','')}  |  提交时间: {sm.get('lastSubmitted','')}\")
    print(f\"  发现的URL数: {sm.get('contents',[{}])[0].get('submitted','?')}  |  已索引URL数: {sm.get('contents',[{}])[0].get('indexed','?')}\")
    print()
"

Submit a Sitemap

提交站点地图

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"

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

5. 机会识别

Use Search Console data to find SEO opportunities.
利用Search Console数据找到SEO优化机会。

Low-Hanging Fruit: High Impressions, Low CTR

低难度优化点:高曝光量、低CTR

Queries with many impressions but low CTR suggest the title/description needs optimization.
bash
undefined
曝光量高但CTR低的查询词,说明标题/描述需要优化。
bash
undefined

Pull queries, then filter for: impressions > 100 AND ctr < 0.03 AND position < 20

拉取查询词数据,然后筛选:曝光量>100 且 CTR<0.03 且 排名<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}") "
undefined
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('== 低CTR优化机会(高曝光、低CTR、排名靠前) ==') print(f"{'查询词':<40} {'页面':<40} {'曝光量':>6} {'CTR':>7} {'排名':>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}") "
undefined

Striking Distance: Position 5-20

接近前排的关键词:排名5-20名

Queries ranking on page 1-2 that could be pushed to top 5 with content optimization.
bash
undefined
排名在第1-2页的查询词,通过内容优化可以推进到前5名。
bash
undefined

Filter for position between 5 and 20 with decent impressions

筛选排名在5到20之间且曝光量不错的查询词

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}") "
undefined
curl -s -X POST "..." | python3 -c " import json, sys data = json.load(sys.stdin) print('== 接近前排的关键词(排名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} 排名: {row['position']:>5.1f} 曝光量: {row['impressions']:>6} 点击量: {row['clicks']:>4}") "
undefined

Cannibalization Detection

关键词内部竞争检测

Find queries where multiple pages compete for the same keyword.
bash
undefined
找到多个页面竞争同一关键词的查询词。
bash
undefined

Pull query+page data, then group by query to find duplicates

拉取查询词+页面数据,然后按查询词分组找到重复项

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']}") "

---
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('== 关键词内部竞争(同一查询词对应多个页面) ==') 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"\n查询词: {query}(总曝光量: {total_impr})") for p in sorted(pages, key=lambda x: -x['impressions']): print(f" {p['page'][-60:]} 排名: {p['position']:.1f} 曝光量: {p['impressions']} 点击量: {p['clicks']}") "

---

Workflow: Full Search Performance Audit

工作流:完整的搜索表现审计

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
当被要求进行完整的GSC审计时:
  1. 整体指标:过去90天的总点击量、曝光量、平均CTR、平均排名,与之前90天对比
  2. Top30查询词:按点击量排序,包含CTR和排名
  3. Top20页面:按点击量排序,包含CTR和排名
  4. 设备细分:桌面端 vs 移动端表现
  5. 低难度优化点:高曝光+低CTR的优化机会
  6. 接近前排的关键词:排名5-20、有优化潜力的关键词
  7. 内部竞争:存在多个竞争页面的查询词
  8. 索引覆盖率:抽查重要URL
  9. 站点地图健康度:验证站点地图已提交并被索引

Report Format

报告格式

undefined
undefined

Search Console Audit: {domain}

Search Console审计报告: {domain}

Period: {date range}

周期: {时间范围}

Summary

摘要

MetricCurrentPreviousChange
ClicksXY+Z%
ImpressionsXY+Z%
Avg CTRX%Y%+Z pp
Avg PositionXY+Z
指标当前周期上一周期变化
点击量XY+Z%
曝光量XY+Z%
平均CTRX%Y%+Z个百分点
平均排名XY+Z

Top Queries

热门查询词

QueryClicksImpressionsCTRPosition
...............
查询词点击量曝光量CTR排名
...............

Optimization Opportunities

优化机会

Title/Description Optimization (High Impressions, Low CTR)

标题/描述优化(高曝光、低CTR)

  1. "{query}" - {impressions} impressions, {ctr}% CTR, position {pos}
    • Page: {url}
    • Recommendation: ...
  1. "{query}" - {impressions}次曝光,{ctr}% CTR,排名{pos}
    • 页面: {url}
    • 建议: ...

Content Optimization (Striking Distance)

内容优化(接近前排的关键词)

  1. "{query}" - position {pos}, {impressions} impressions
    • Action: Add {query} to H2, expand section on {topic}
  1. "{query}" - 排名{pos},{impressions}次曝光
    • 行动: 在H2中添加{query},扩展{topic}相关内容

Cannibalization Fixes

内部竞争修复

  1. "{query}" appears on {n} pages
    • Consolidate to: {best_url}
    • Redirect/noindex: {other_urls}

---
  1. "{query}" 出现在{n}个页面
    • 合并到: {best_url}
    • 重定向/禁止索引: {other_urls}

---

Rate Limits

速率限制

  • 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
  • 搜索分析API:每分钟1200次查询
  • URL检测API:每个属性每天2000次检测
  • 数据新鲜度:搜索数据通常滞后2-3天

Common Errors

常见错误

ErrorCauseFix
403No access to this propertyVerify ownership in GSC
400Invalid date rangeDates must be within last 16 months
Empty rowsNo data matching filtersBroaden date range or remove filters
错误原因修复方案
403无该属性的访问权限在GSC中验证所有权
400无效的日期范围日期必须在过去16个月内
空结果没有匹配筛选条件的数据扩大日期范围或移除筛选条件