MCPInstall

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.

Installs
746
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/apidojo-io/apidojo-skills --skill monitoring-google-news-coverage-for-brand
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads monitoring-google-news-coverage-for-brand automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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

ParameterTypeRequiredDefaultNotes
startUrlsarrayOptional[]Google search URLs
searchTermsarrayOptional[]Keywords to search on Google
countryCodestringOptionalUSCountry for Google search (e.g. US, GB, TR)
languageCodestringOptional—Language for results (e.g. en)
maxItemsnumberOptionalUnlimitedMaximum results to return across all queries
maxPagesPerQueryintegerOptional1Maximum result pages per query
mobileResultsbooleanOptionalfalseFetch mobile SERP layout
customMapFunctionstringOptional—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.

FAQ

What does the monitoring-google-news-coverage-for-brand skill do?

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.

How do I install monitoring-google-news-coverage-for-brand?

Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill monitoring-google-news-coverage-for-brand in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/monitoring-google-news-coverage-for-brand/ (personal) or .claude/skills/monitoring-google-news-coverage-for-brand/ (project).

Which AI agents can use monitoring-google-news-coverage-for-brand?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is monitoring-google-news-coverage-for-brand safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains monitoring-google-news-coverage-for-brand?

It is published by apidojo-io in apidojo-io/apidojo-skills. It has 746 recorded installs.

More from apidojo-io/apidojo-skills

View all →

Discovers trending and viral YouTube videos by category and country using apidojo's YouTube Trending Scraper on Apify. Triggers when the user asks to: find viral YouTube videos today, discover what's trending on YouTube in a specific country, get trending gaming or music videos on YouTube, find top YouTube videos this week by category, identify viral content on YouTube for inspiration, research what topics are dominating YouTube trending, or track trending YouTube content for content strategy. Returns video title, views, likes, channel info, duration, keywords, and thumbnail. Ideal for content strategists, YouTubers, and trend researchers.

Media & Creative859 installs

Finds Instagram content creators and influencers posting from a specific location using apidojo's Instagram location scraper on Apify. Triggers when the user asks to: find Instagram creators based in a city, discover local influencers in a geographic market, find content creators who post from a specific venue or neighborhood, identify local Instagram micro-influencers for geo-targeted campaigns, find creators in a country for regional brand partnerships, or discover influencers who have visited or are based in a specific location. Returns creator handle, post count at location, follower estimate, engagement, and recent content. Ideal for regional brand campaigns, local business marketing, and geo-targeted influencer programs.

Marketing & SEO847 installs

scraping-tiktok-profile-data

apidojo-io/apidojo-skills

Scrapes TikTok profile statistics and metadata for any list of accounts using apidojo's TikTok Profile scraper on Apify. Triggers when the user asks to: get TikTok profile stats for an account, fetch follower count and engagement data for TikTok users, scrape TikTok account metadata in bulk, export TikTok profile information for a list of creators, check TikTok stats for multiple usernames, or get bio and follower data from TikTok profiles. Returns username, follower count, following count, total likes, video count, and bio. Ideal for influencer vetting, data enrichment, and audience analysis.

Marketing & SEO846 installs

Tracks trending YouTube topics and video formats in a specific niche using apidojo's YouTube scraper on Apify. Triggers when the user asks to: find trending YouTube topics in a niche, discover what videos are getting views right now in a category, identify trending YouTube formats or themes in an industry, find high-performing YouTube video ideas from search trends, research what the YouTube algorithm is currently rewarding in a topic area, discover rising YouTube creators in a niche, or analyze what video angles perform best on YouTube in a category. Returns trending video titles, view counts, engagement metrics, format patterns, and topic themes. Ideal for YouTube content creators, video marketers, and brand video strategists.

Media & Creative831 installs

analyzing-twitter-sentiment-for-topic

apidojo-io/apidojo-skills

Analyzes public sentiment on Twitter/X for any topic, brand, or event using apidojo's Tweet scrapers on Apify. Triggers when the user asks to: analyze Twitter sentiment about a topic, measure public opinion on Twitter, see if sentiment is positive or negative about a brand or issue on X, analyze the emotional tone of tweets about an event, research how Twitter reacts to a news story, measure brand or product sentiment from tweets, or compare sentiment between two competing topics or brands on Twitter. Returns sentiment classification, top positive and negative tweets, volume over time, and key themes. Ideal for PR teams, market researchers, political analysts, and social listening platforms.

Marketing & SEO830 installs

building-full-social-audit-for-brand

apidojo-io/apidojo-skills

Builds a comprehensive social media audit for a brand across all major platforms using apidojo's multi-platform scrapers. Triggers when the user asks to: do a social media audit for a brand, build a full social media presence report, analyze a brand's performance across all social platforms, create a cross-platform social media benchmark, audit a competitor's entire social media strategy, build a social media scorecard for a brand, or create a comprehensive social media analysis covering Twitter Instagram TikTok and YouTube. Returns per-platform metrics, follower counts, engagement rates, content mix, posting frequency, and overall brand health score. Ideal for social media managers, brand strategists, and agency teams doing comprehensive brand audits.

Marketing & SEO828 installs

Popular testing & qa skills

View category →

tdd

mattpocock/skills

Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

Testing & QA1.2M installs

grilling

mattpocock/skills

Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

Testing & QA996.2K installs

migrate-to-shoehorn

mattpocock/skills

Migrate test files from as type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace as in tests, or needs partial test data.

Testing & QA484.1K installs

run-train

lllllllama/rigorpilot-skills

Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized trainoutputs/. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.

Testing & QA337.8K installs

test-driven-development

obra/superpowers

Use when implementing any feature or bugfix, before writing implementation code

Testing & QA261.8K installs

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

Testing & QA216.8K installs