使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/apidojo-io/apidojo-skills --skill finding-healthcare-practices-via-google-search开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
Finding Healthcare Practices 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": ["dental practice Chicago"], "countryCode": "US", "maxPagesPerQuery": 3}'
# Save as CSV
node scripts/run_actor.js --actor "apidojo~google-search-scraper" --input '{"searchTerms": ["dental practice Chicago"], "countryCode": "US", "maxPagesPerQuery": 3}' --output results.csv --format csv
# Save as JSON
node scripts/run_actor.js --actor "apidojo~google-search-scraper" --input '{"searchTerms": ["dental practice Chicago"], "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": ["dental practice Chicago"], "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_health_signals(contains: clinic, practice, dental, medical, healthcare, patients, MD, DDS) → weight 0.50valid_domain(not .gov, .edu, .wikipedia, .yelp) → weight 0.30position_score→ 1 - (position / total), weight 0.20
python
score = 0.50 * int(health_signals) + 0.30 * int(valid_domain) + 0.20 * position_scoreClassification
| Score | Tier | Label |
|---|---|---|
| ≥ 0.70 | A | PRIME_PROSPECT |
| 0.40–0.69 | B | WARM_LEAD |
| < 0.40 | C | LOW_PRIORITY |
Edge Cases
- Directory sites: Healthgrades, Zocdoc, WebMD listings — not practices. Filter by checking domain.
- Hospital systems: Large hospital networks are hard to reach. Focus on independent practices.
- No contact data: SERP returns URL and snippet only — no phone/email. Use as a starting list.
- Duplicate practices: Same clinic may appear for multiple search terms — deduplicate by domain.
- Specialty filter: Add specialty to search term: "orthopedic clinic Denver", "dermatology practice Miami".
