finding-healthcare-practices-via-google-search

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Original

English

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Translation

Chinese

Finding Healthcare Practices Via Google Search

通过谷歌搜索查找医疗诊所

Inputs

输入参数

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

参数	类型	是否必填	默认值	说明
`startUrls`	array	可选	`[]`	谷歌搜索URL
`searchTerms`	array	可选	`[]`	谷歌搜索关键词
`countryCode`	string	可选	`US`	谷歌搜索的国家（例如 `US` , `GB` , `TR` ）
`languageCode`	string	可选	—	结果语言（例如 `en` ）
`maxItems`	number	可选	无限制	所有查询返回的最大结果数
`maxPagesPerQuery`	integer	可选	`1`	每个查询的最大结果页数
`mobileResults`	boolean	可选	`false`	获取移动端SERP布局
`customMapFunction`	string	可选	—	用于转换每个输出对象的JavaScript函数

How to Run

运行方式

Using run_actor.js (recommended)

使用run_actor.js（推荐方式）

bash

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bash

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Quick answer (table)

快速输出（表格形式）

node scripts/run_actor.js --actor "apidojo~google-search-scraper" --input '{"searchTerms": ["dental practice Chicago"], "countryCode": "US", "maxPagesPerQuery": 3}'

Save as CSV

保存为CSV格式

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

保存为JSON格式

node scripts/run_actor.js --actor "apidojo~google-search-scraper" --input '{"searchTerms": ["dental practice Chicago"], "countryCode": "US", "maxPagesPerQuery": 3}' --output results.json --format json

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REST API fallback

备用REST API方式

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.

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}'

如果Apify MCP可用：使用Apify MCP的

call_actor

工具，指定actor为

apidojo~google-search-scraper

并传入上述输入参数。

Scoring & Ranking

评分与排名

Score each result by:

```
snippet_has_health_signals
```
(contains: clinic, practice, dental, medical, healthcare, patients, MD, DDS) → weight 0.50
```
valid_domain
```
(not .gov, .edu, .wikipedia, .yelp) → weight 0.30
```
position_score
```
→ 1 - (position / total), weight 0.20

python

score = 0.50 * int(health_signals) + 0.30 * int(valid_domain) + 0.20 * position_score

每条结果的评分依据：

```
snippet_has_health_signals
```
（包含以下关键词：clinic、practice、dental、medical、healthcare、patients、MD、DDS）→ 权重0.50
```
valid_domain
```
（非.gov、.edu、.wikipedia、.yelp域名）→ 权重0.30
```
position_score
```
→ 1 - (position / total)，权重0.20

python

score = 0.50 * int(health_signals) + 0.30 * int(valid_domain) + 0.20 * position_score

Classification

分类

Score	Tier	Label
≥ 0.70	A	PRIME_PROSPECT
0.40–0.69	B	WARM_LEAD
< 0.40	C	LOW_PRIORITY

分数	等级	标签
≥ 0.70	A	PRIME_PROSPECT
0.40–0.69	B	WARM_LEAD
< 0.40	C	LOW_PRIORITY

Edge Cases

边缘情况处理

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".

目录类网站：Healthgrades、Zocdoc、WebMD上的列表——这些并非诊所。可通过检查域名进行过滤。
医院系统：大型医院网络难以触达，重点关注独立诊所。
无联系信息：搜索结果仅返回URL和摘要——无电话/邮箱。可将其作为初始列表使用。
重复诊所：同一诊所可能在多个搜索关键词下出现——通过域名去重。
专科筛选：在搜索关键词中添加专科名称："orthopedic clinic Denver"（丹佛骨科诊所）、"dermatology practice Miami"（迈阿密皮肤科诊所）。