monitoring-tech-acquisition-news-google

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

Monitoring Tech Acquisition News Google

基于Google的科技收购新闻监控

Executes monitoring tech acquisition news google using apidojo scrapers. Part of the apidojo intelligence skills library.

使用apidojo爬虫执行科技收购新闻监控。属于apidojo情报技能库的一部分。

Prerequisites

前置条件

```
APIFY_TOKEN
```
environment variable set
Optional: Apify MCP server installed

已设置
```
APIFY_TOKEN
```
环境变量
可选：已安装Apify MCP服务器

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`	数组	可选	`[]`	Google搜索URL
`searchTerms`	数组	可选	`[]`	Google搜索关键词
`countryCode`	字符串	可选	`US`	Google搜索的国家代码（例如 `US` 、 `GB` 、 `TR` ）
`languageCode`	字符串	可选	—	结果语言代码（例如 `en` ）
`maxItems`	数字	可选	无限制	所有查询返回的最大结果数
`maxPagesPerQuery`	整数	可选	`1`	每个查询的最大结果页数
`mobileResults`	布尔值	可选	`false`	获取移动端SERP布局
`customMapFunction`	字符串	可选	—	用于转换每个输出对象的JavaScript函数

Workflow

工作流程

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

进度：
- [ ] 步骤1：定义参数
- [ ] 步骤2：运行google-search-scraper
- [ ] 步骤3：过滤并分类结果
- [ ] 步骤4：按质量和相关性评分
- [ ] 步骤5：交付输出

Step 2: Run the Actor

步骤2：运行Actor

Recommended — run_actor.js (handles waiting, output, and file saving automatically):

bash

undefined

推荐方式 — run_actor.js（自动处理等待、输出和文件保存）：

bash

undefined

Quick answer (prints table to chat)

快速查看（在聊天窗口打印表格）

node scripts/run_actor.js
--actor "apidojo~google-search-scraper"
--input '{"param": "value"}'

Save as CSV

保存为CSV格式

node scripts/run_actor.js
--actor "apidojo~google-search-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.csv --format csv

Save as JSON

保存为JSON格式

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": ["[SECTOR] acquisition 2026", "[SECTOR] acquired", "[COMPANY] acquires"], "maxItems": 100 }


**REST API fallback:**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~google-search-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["[SECTOR] acquisition 2026", "[SECTOR] acquired", "[COMPANY] acquires"], "maxItems": 100}'

Wait for

SUCCEEDED

. Fetch dataset:

bash

curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"

node scripts/run_actor.js
--actor "apidojo~google-search-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.json --format json

> `APIFY_TOKEN`必须在环境变量或`.env`文件中设置。

**若Apify MCP可用：**

工具: apify:run-actor Actor: "apidojo~google-search-scraper" 输入: { "searchTerms": ["[SECTOR] acquisition 2026", "[SECTOR] acquired", "[COMPANY] acquires"], "maxItems": 100 }


**REST API备选方案：**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~google-search-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["[SECTOR] acquisition 2026", "[SECTOR] acquired", "[COMPANY] acquires"], "maxItems": 100}'

等待状态变为

SUCCEEDED

。获取数据集：

bash

curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"

Step 3: Classify Results

步骤3：结果分类

classification: CONFIRMED (official announcement) | REPORTED (press rumor) | RUMORED (speculation) | DENIED

分类：CONFIRMED（官方公告）| REPORTED（媒体报道）| RUMORED（市场传闻）| DENIED（已否认）

Step 4: Score Each Result

步骤4：结果评分

score = deal_significance = (named_price ? deal_value/1000000 : 0.5) * 0.50 + (acquirer_is_public ? 1 : 0.5) * 0.30 + (coverage_from_tier1_pub ? 1 : 0.5) * 0.20

score = deal_significance = (named_price ? deal_value/1000000 : 0.5) * 0.50 + (acquirer_is_public ? 1 : 0.5) * 0.30 + (coverage_from_tier1_pub ? 1 : 0.5) * 0.20

Step 5: Edge Cases

步骤5：边缘情况

M&A news often breaks before official press releases; use Google News search type to catch breaking reports, and flag STATUS = UNCONFIRMED until official press release found

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

并购新闻通常在官方发布前泄露；使用Google新闻搜索类型捕捉突发报道，并标记STATUS = UNCONFIRMED，直到找到官方新闻稿

其他备选方案：

结果少于20条：扩大搜索关键词；移除次要筛选条件
无结果：验证搜索关键词是否正确；尝试其他表述
数据质量问题：移除缺少关键字段的条目；在输出中注明数量

Output Format

输出格式

undefined

undefined

Monitoring Tech Acquisition News Google

基于Google的科技收购新闻监控

Results: [N] | Date: [DATE]

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

结果数：[N] | 日期：[DATE]

序号	[关键字段]	[指标1]	[指标2]	[分类]	[评分]
1	[值]	[值]	[值]	[类型]	[0.XX]

Summary

总结

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

undefined

最佳结果：[描述] 关键发现：[洞察]

undefined

Troubleshooting

故障排查

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.

结果过少：扩大主搜索关键词；移除限制性筛选条件。 结果质量低：应用最低评分阈值（≥ 0.50）过滤无效信息。 Actor运行失败：验证API密钥；在apify.com/apidojo查看Actor状态。