Monitor brand mentions and surface reputation risks
1 次安装
浏览器
monitoring-google-news-coverage-for-brand
试用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.
它能做什么
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.
技能文档
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_TOKENenvironment 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_TOKENmust be set in environment or.envfile.
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.
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