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
| 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: 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
# 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.