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apidojo-io (@apidojo-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Monitoring Google News Coverage For Brand by apidojo-io

Name: Monitoring Google News Coverage For Brand
Author: apidojo-io

Monitoring Google News Coverage For Brand

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.

apidojo-io Updated Sep 17, 2026

File contents

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.

---name: monitoring-google-news-coverage-for-branddescription: 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---# Monitoring Google News Coverage for a BrandTracks 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):**```bash# Quick answer (prints table to chat)node scripts/run_actor.js \ --actor "apidojo~google-search-scraper" \ --input '{"param": "value"}'# Save as CSVnode scripts/run_actor.js \ --actor "apidojo~google-search-scraper" \ --input '{"param": "value"}' \ --output YYYY-MM-DD_results.csv --format csv# Save as JSONnode 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-actorActor: "apidojo~google-search-scraper"Input:{ "queries": ["\"[BRAND_NAME]\" news", "[BRAND_NAME] announcement"], "maxPagesPerQuery": 3, "countryCode": "US", "searchType": "news"}```**REST API fallback:**```bashcurl -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.

Frequently asked questions