mcpField
F
finding-industry-event-coverage-google

finding-industry-event-coverage-google

github.com/apidojo-ioProductivity1830 installsUpdated 24w ago
Repository

About finding-industry-event-coverage-google

A research skill that finds coverage of industry events using Google search results from Apify scrapers. It supports country and language settings, then classifies and scores results by publication authority and recency.

Key features

  1. 01Search Google with terms or URLs
  2. 02Set country and language for results
  3. 03Classify coverage by article type
  4. 04Score publication authority and recency

Use cases

  1. 01Find announcements and recaps for an industry event
  2. 02Collect event coverage for a specified country or language
  3. 03Sort search results by source authority and freshness

MCP support

If Apify MCP is available, the skill can run the `apidojo~google-search-scraper` actor.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/apidojo-io/apidojo-skills --skill finding-industry-event-coverage-google

After installing, type/finding-industry-event-coverage-googlein Claude Code to confirm it loaded.

Details

From the project README

Finding Industry Event Coverage Google

Executes finding industry event coverage google using apidojo scrapers. Part of the apidojo intelligence skills library.

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: Define parameters
- [ ] Step 2: Run google-search-scraper
- [ ] Step 3: Filter and classify results
- [ ] Step 4: Score by quality and relevance
- [ ] Step 5: Deliver output
Step 2: Run the Actor

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:
{
  "searchTerms": ["[EVENT_NAME] 2026", "[EVENT_NAME] recap", "[EVENT_NAME] announcements", "[EVENT_NAME] highlights"],
  "maxItems": 100
}

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 '{"searchTerms": ["[EVENT_NAME] 2026", "[EVENT_NAME] recap", "[EVENT_NAME] announcements", "[EVENT_NAME] highlights"], "maxItems": 100}'

Wait for SUCCEEDED. Fetch dataset:

curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"
Step 3: Classify Results
classification: ANNOUNCEMENT (new product/feature) | KEYNOTE_RECAP (event summary) | AWARDS (industry recognition) | TREND_REPORT (analyst take) | EDITORIAL (opinion)
Step 4: Score Each Result
score = coverage_authority = (publication_tier: tier1=1, tier2=0.6, tier3=0.3) * article_recency_weight
Step 5: Edge Cases
  • Event may have a different official name vs. common name — try both; also search the hosting organization name if event name is ambiguous

Additional fallbacks:

  • < 20 results: Broaden search terms; remove secondary filters
  • No results: Verify the search terms are correct; try alternate phrasings
  • Data quality issues: Remove entries with missing key fields; note count in output

Output Format

# Finding Industry Event Coverage Google
Results: [N] | Date: [DATE]

| # | [Key Field] | [Metric 1] | [Metric 2] | [Classification] | [Score] |
|---|------------|-----------|-----------|-----------------|---------|
| 1 | [value] | [value] | [value] | [type] | [0.XX] |

## Summary
Top result: [description]
Key finding: [insight]

Troubleshooting

Too few results: Broaden the primary search term; remove restrictive filters. Low quality results: Apply minimum score threshold (≥ 0.50) to filter noise. Actor fails to run: Verify API key; check actor status at apify.com/apidojo.

Comments

Markdown supported