monitoring-google-news-coverage-for-brand

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Original

English

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Translation

Chinese

Monitoring Google News Coverage for a Brand

监控品牌的Google新闻报道

Tracks press and media coverage of a brand across Google News. Identifies publications, volume, sentiment, and stories that need PR attention.

追踪Google新闻中某品牌的媒体报道情况，识别出版物、报道量、情感倾向以及需要公关关注的报道内容。

Prerequisites

前提条件

```
APIFY_TOKEN
```
environment variable set
Optional: Apify MCP server installed

设置
```
APIFY_TOKEN
```
环境变量
可选：安装Apify MCP服务器

Inputs

输入参数

Parameter	Type	Required	Default	Notes
`startUrls`	array	Optional	`[]`	Google search URLs
`searchTerms`	array	Optional	`[]`	Keywords to search on Google
`countryCode`	string	Optional	`US`	Country for Google search (e.g. `US` , `GB` , `TR` )
`languageCode`	string	Optional	—	Language for results (e.g. `en` )
`maxItems`	number	Optional	Unlimited	Maximum results to return across all queries
`maxPagesPerQuery`	integer	Optional	`1`	Maximum result pages per query
`mobileResults`	boolean	Optional	`false`	Fetch mobile SERP layout
`customMapFunction`	string	Optional	—	JavaScript function to transform each output object

参数	类型	是否必填	默认值	说明
`startUrls`	array	可选	`[]`	Google搜索URL
`searchTerms`	array	可选	`[]`	在Google上搜索的关键词
`countryCode`	string	可选	`US`	Google搜索的目标国家（例如 `US` 、 `GB` 、 `TR` ）
`languageCode`	string	可选	—	结果的语言（例如 `en` ）
`maxItems`	number	可选	无限制	所有查询返回的最大结果数
`maxPagesPerQuery`	integer	可选	`1`	每个查询的最大结果页数
`mobileResults`	boolean	可选	`false`	获取移动端SERP布局
`customMapFunction`	string	可选	—	用于转换每个输出对象的JavaScript函数

Workflow

工作流程

Progress:
- [ ] Step 1: Search Google News for brand + time filter
- [ ] Step 2: Classify editorial vs. press release
- [ ] Step 3: Classify coverage sentiment
- [ ] Step 4: Identify top publications and story themes
- [ ] Step 5: Deliver press monitoring report

进度:
- [ ] 步骤1：搜索带时间筛选的品牌相关Google新闻
- [ ] 步骤2：区分社论内容与新闻稿
- [ ] 步骤3：分类报道情感倾向
- [ ] 步骤4：识别核心出版物与报道主题
- [ ] 步骤5：生成媒体监控报告

Step 1: Run google-search-scraper

步骤1：运行google-search-scraper

Recommended — run_actor.js (handles waiting, output, and file saving automatically):

bash

undefined

推荐方式 — 使用run_actor.js（自动处理等待、输出和文件保存）：

bash

undefined

Quick answer (prints table to chat)

快速查看结果（在聊天中打印表格）

node scripts/run_actor.js
--actor "apidojo~google-search-scraper"
--input '{"param": "value"}'

Save as CSV

保存为CSV

node scripts/run_actor.js
--actor "apidojo~google-search-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.csv --format csv

Save as JSON

保存为JSON

node scripts/run_actor.js
--actor "apidojo~google-search-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.json --format json

> `APIFY_TOKEN` must be set in environment or `.env` file.

**If Apify MCP is available:**

Tool: apify:run-actor Actor: "apidojo~google-search-scraper" Input: { "queries": [""[BRAND_NAME]" news", "[BRAND_NAME] announcement"], "maxPagesPerQuery": 3, "countryCode": "US", "searchType": "news" }


**REST API fallback:**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~google-search-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["\"[BRAND_NAME]\" news"], "maxPagesPerQuery": 3, "searchType": "news"}'

node scripts/run_actor.js
--actor "apidojo~google-search-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.json --format json

> 需在环境变量或`.env`文件中设置`APIFY_TOKEN`。

**若Apify MCP可用：**

工具: apify:run-actor Actor: "apidojo~google-search-scraper" 输入: { "queries": [""[BRAND_NAME]" news", "[BRAND_NAME] announcement"], "maxPagesPerQuery": 3, "countryCode": "US", "searchType": "news" }


**REST API备选方案：**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~google-search-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["\"[BRAND_NAME]\" news"], "maxPagesPerQuery": 3, "searchType": "news"}'

Step 2: Classify Coverage

步骤2：分类报道类型

coverage_type:
  PRESS_RELEASE = domain: prnewswire, businesswire, globenewswire
  EDITORIAL = major publication (TechCrunch, Forbes, WSJ, Bloomberg)
  TRADE = industry publication
  NEGATIVE_FLAG = title contains: "lawsuit", "scandal", "fraud", "investigation"

sentiment_from_headline:
  POSITIVE = "raises", "launches", "wins", "grows", "partners", "expands"
  NEGATIVE = "cuts", "loses", "sued", "drops", "fails", "controversy"

coverage_type:
  PRESS_RELEASE = 域名包含：prnewswire, businesswire, globenewswire
  EDITORIAL = 主流出版物（TechCrunch、Forbes、WSJ、Bloomberg）
  TRADE = 行业出版物
  NEGATIVE_FLAG = 标题包含："lawsuit"、"scandal"、"fraud"、"investigation"

sentiment_from_headline:
  POSITIVE = 包含"raises"、"launches"、"wins"、"grows"、"partners"、"expands"
  NEGATIVE = 包含"cuts"、"loses"、"sued"、"drops"、"fails"、"controversy"

Step 3: Edge Cases

步骤3：边缘情况

Brand name is common word: Use exact match quotes; add qualifier
Old coverage returned: Use
```
after:[DATE]
```
query operator
Negative from major publication: Flag as
```
PR_ATTENTION_NEEDED
```
Competitor coverage much higher volume: PR gap analysis signal

品牌名称为常用词：使用精确匹配引号；添加限定词
返回旧报道：使用
```
after:[DATE]
```
查询运算符
主流出版物的负面报道：标记为
```
PR_ATTENTION_NEEDED
```
竞争对手报道量远高于自身：公关差距分析信号

Output Format

输出格式

undefined

undefined

Google News Monitor: [BRAND_NAME]

Google新闻监控报告: [BRAND_NAME]

Period: [DATE_RANGE] | Articles: [N] | Publications: [N] | Date: [DATE]

Coverage: Editorial [N] | Press Releases [N] | Negative flags [N] Sentiment: [X%] Positive | [X%] Negative | [X%] Neutral

周期: [DATE_RANGE] | 文章数量: [N] | 涉及出版物: [N] | 生成日期: [DATE]

报道类型: 社论 [N] | 新闻稿 [N] | 负面标记 [N] 情感倾向: [X%] 正面 | [X%] 负面 | [X%] 中性

Headlines (Chronological)

头条新闻（按时间排序）

Date	Publication	Headline	Type	Sentiment	URL

日期	出版物	标题	类型	情感	URL

⚠️ PR Attention Needed

⚠️ 需要公关关注

[Negative articles requiring monitoring]

undefined

[需监控的负面文章]

undefined

Troubleshooting

故障排除

Too few results: Brand has limited press; try without quotes for broader matching. Reviews not press in results: Add

-site:yelp.com -site:glassdoor.com

to queries. Google blocks news search: Use

searchType: "web"

with news-domain anchors.

结果过少：品牌媒体曝光有限；尝试去掉引号以扩大匹配范围。 结果中包含非媒体评论：在查询中添加

-site:yelp.com -site:glassdoor.com

。 Google屏蔽新闻搜索：使用

searchType: "web"

并搭配新闻域名锚点。