원본 Skill 문서
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
Finding Digital Agencies Via Google Search
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 |
How to Run
Using run_actor.js (recommended)
bash
# Quick answer (table)
node scripts/run_actor.js --actor "apidojo~google-search-scraper" --input '{"searchTerms": ["digital marketing agency NYC"], "countryCode": "US", "maxPagesPerQuery": 3}'
# Save as CSV
node scripts/run_actor.js --actor "apidojo~google-search-scraper" --input '{"searchTerms": ["digital marketing agency NYC"], "countryCode": "US", "maxPagesPerQuery": 3}' --output results.csv --format csv
# Save as JSON
node scripts/run_actor.js --actor "apidojo~google-search-scraper" --input '{"searchTerms": ["digital marketing agency NYC"], "countryCode": "US", "maxPagesPerQuery": 3}' --output results.json --format jsonREST API fallback
bash
curl -X POST "https://api.apify.com/v2/acts/apidojo~google-search-scraper/runs" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"searchTerms": ["digital marketing agency NYC"], "countryCode": "US", "maxPagesPerQuery": 3}'If Apify MCP is available: Use the Apify MCP call_actor tool with actor apidojo~google-search-scraper and the input above.
Scoring & Ranking
Score each result by:
snippet_has_agency_signals(contains: agency, studio, services, clients, marketing, SEO) → weight 0.50is_agency_domain(not .gov, .edu, .wikipedia, .youtube) → weight 0.30position→ score = 1 - (position / total_results), weight 0.20
python
score = 0.50 * int(agency_signals) + 0.30 * int(valid_domain) + 0.20 * (1 - position/total)Classification
| Score | Tier | Label |
|---|---|---|
| ≥ 0.70 | A | PRIME_PROSPECT |
| 0.40–0.69 | B | WARM_LEAD |
| < 0.40 | C | LOW_PRIORITY |
Edge Cases
- Directory sites in results: Clutch, Yelp, Upwork listings are not agencies. Filter by checking if domain matches snippet.
- Wikipedia/news results: Skip results with domains like wikipedia.org, bbc.com.
- Limited contact data: SERP only returns title, URL, snippet — no phone/email. Use results as a starting list for manual outreach.
- Duplicate agencies: Same agency may appear for multiple search terms — deduplicate by domain.
- Local vs global: Use city-specific search terms for local results.
