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monitoring-google-news-coverage-for-brand

核心功能:监测品牌或竞品在Google新闻的报道,分类报道类型、分析情感,生成含统计数据的监测报告。典型场景:PR机构、品牌公关团队用于声誉监测、竞品分析。输入支持搜索关键词、国家/语言等参数;输出包含文章标题、发布源、日期、URL、情感,以及需重点关注的负面内容。

apidojo-io
apidojo-io
热度 7.62
最近更新 2026-09-03 04:37:30
分类:营销依赖:代码执行 / 第三方 API / MCP 服务 / 读写文件应用场景:市场分析 / 报告撰写 / 研究 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add monitoring-google-news-coverage-for-brand
Metadata
name
monitoring-google-news-coverage-for-brand
description
Monitors Google News coverage for a brand using apidojo's Google Search scraper on Apify. Triggers when the user asks to: track news coverage about a brand on Google, monitor press mentions in Google News, find recent news articles mentioning a company, track media coverage for a brand or executive, monitor competitor news coverage, find press releases or news stories about a brand on Google, or research how a company is being covered in the press. Returns article title, publication, date, URL, and coverage sentiment per article. Ideal for PR agencies, communications teams, brand managers, and reputation monitoring services.
license
Apache-2.0
metadata
{"author":"apidojo","version":"1.0","apify-actor":"apidojo/google-search-scraper"}

Monitoring Google News Coverage for a Brand

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

Prerequisites

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

Inputs

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

Workflow

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

Step 1: Run google-search-scraper

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

# Quick answer (prints table to chat)
node scripts/run_actor.js \
  --actor "apidojo~google-search-scraper" \
  --input '{"param": "value"}'

# Save as 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
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:

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

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"

Step 3: Edge Cases

  • 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

Output Format

# Google News Monitor: [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

## Headlines (Chronological)
| Date | Publication | Headline | Type | Sentiment | URL |
|------|------------|---------|------|-----------|-----|

## ⚠️ PR Attention Needed
[Negative articles requiring monitoring]

Troubleshooting

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.