monitoring-twitter-for-competitor-job-posts

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Monitoring Twitter For Competitor Job Posts

监控Twitter上的竞品职位发布

Executes monitoring twitter for competitor job posts using apidojo scrapers. Part of the apidojo intelligence skills library.

借助apidojo的抓取工具执行Twitter竞品职位发布监控，属于apidojo情报技能库的一部分。

Prerequisites

前提条件

```
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
`searchTerms`	array	✅	`[]`	Twitter advanced search queries (e.g. `["#AI lang:en", "from:NASA"]` )
`sort`	string	Optional	`Top`	Sort order: `Latest` , `Top` , or `Latest+Top`
`tweetLanguage`	string	Optional	—	ISO 639-1 language code (e.g. `en` )
`maxItems`	number	Optional	Unlimited	Maximum tweets to return
`onlyVerifiedUsers`	boolean	Optional	`false`	Only tweets from verified users
`onlyTwitterBlue`	boolean	Optional	`false`	Only Twitter Blue subscribers
`onlyImage`	boolean	Optional	`false`	Only tweets with images
`onlyVideo`	boolean	Optional	`false`	Only tweets with videos
`onlyQuote`	boolean	Optional	`false`	Only quote tweets
`author`	string	Optional	—	Filter to a specific author handle
`inReplyTo`	string	Optional	—	Tweets replying to a specific handle
`mentioning`	string	Optional	—	Tweets mentioning a specific handle
`geotaggedNear`	string	Optional	—	Tweets near a location
`withinRadius`	string	Optional	—	Radius around geotaggedNear
`geocode`	string	Optional	—	Lat/lng + radius string
`placeObjectId`	string	Optional	—	Tweets tagged with a place
`minimumRetweets`	number	Optional	—	Minimum retweet count
`minimumFavorites`	number	Optional	—	Minimum like count
`minimumReplies`	number	Optional	—	Minimum reply count
`start`	string	Optional	—	Tweets after this date (YYYY-MM-DD)
`end`	string	Optional	—	Tweets before this date (YYYY-MM-DD)
`includeSearchTerms`	boolean	Optional	`false`	Add the matched search term to each tweet
`customMapFunction`	string	Optional	—	JavaScript function to transform each output object

参数	类型	必填	默认值	说明
`searchTerms`	数组	✅	`[]`	Twitter高级搜索查询（例如： `["#AI lang:en", "from:NASA"]` ）
`sort`	字符串	可选	`Top`	排序方式： `Latest` 、 `Top` 或 `Latest+Top`
`tweetLanguage`	字符串	可选	—	ISO 639-1语言代码（例如： `en` ）
`maxItems`	数字	可选	无限制	返回的最大推文数量
`onlyVerifiedUsers`	布尔值	可选	`false`	仅来自认证用户的推文
`onlyTwitterBlue`	布尔值	可选	`false`	仅来自Twitter Blue订阅用户的推文
`onlyImage`	布尔值	可选	`false`	仅包含图片的推文
`onlyVideo`	布尔值	可选	`false`	仅包含视频的推文
`onlyQuote`	布尔值	可选	`false`	仅引用推文
`author`	字符串	可选	—	过滤特定作者账号
`inReplyTo`	字符串	可选	—	回复特定账号的推文
`mentioning`	字符串	可选	—	提及特定账号的推文
`geotaggedNear`	字符串	可选	—	特定位置附近的推文
`withinRadius`	字符串	可选	—	`geotaggedNear` 周围的半径范围
`geocode`	字符串	可选	—	纬度/经度 + 半径字符串
`placeObjectId`	字符串	可选	—	标记特定地点的推文
`minimumRetweets`	数字	可选	—	最小转发量
`minimumFavorites`	数字	可选	—	最小点赞量
`minimumReplies`	数字	可选	—	最小回复量
`start`	字符串	可选	—	此日期之后的推文（格式：YYYY-MM-DD）
`end`	字符串	可选	—	此日期之前的推文（格式：YYYY-MM-DD）
`includeSearchTerms`	布尔值	可选	`false`	为每条推文添加匹配的搜索词
`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 tweet-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tweet-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

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推荐方式 — run_actor.js（自动处理等待、输出和文件保存）：

bash

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Quick answer (prints table to chat)

快速查看结果（在聊天中打印表格）

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

Save as CSV

保存为CSV格式

node scripts/run_actor.js
--actor "apidojo~tweet-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~tweet-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~tweet-scraper" Input: { "searchTerms": ["[COMPETITOR] hiring", "[COMPETITOR] join our team", "[COMPETITOR] job opening"], "maxItems": 100 }


**REST API fallback:**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tweet-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["[COMPETITOR] hiring", "[COMPETITOR] join our team", "[COMPETITOR] job opening"], "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~tweet-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.json --format json

> 必须在环境变量或`.env`文件中设置`APIFY_TOKEN`。

**如果Apify MCP可用：**

工具: apify:run-actor Actor: "apidojo~tweet-scraper" 输入: { "searchTerms": ["[COMPETITOR] hiring", "[COMPETITOR] join our team", "[COMPETITOR] job opening"], "maxItems": 100 }


**REST API备选方案：**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tweet-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["[COMPETITOR] hiring", "[COMPETITOR] join our team", "[COMPETITOR] job opening"], "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：分类结果

classification: AGGRESSIVE_GROWTH (> 5 roles/month) | STEADY_GROWTH (2-5 roles/month) | OPPORTUNISTIC (1-2 roles) | REPLACEMENT_ONLY (role title identical to recent departure signal)

分类: AGGRESSIVE_GROWTH（每月发布超5个岗位）| STEADY_GROWTH（每月2-5个岗位）| OPPORTUNISTIC（1-2个岗位）| REPLACEMENT_ONLY（岗位名称与近期离职信号一致）

Step 4: Score Each Result

步骤4：为每个结果评分

score = growth_signal_score = (roles_posted_in_30_days / 5, max 1) * 0.50 + (engineering_role ? 1.2 : 1) * department_weight * 0.30 + (urgency_language ? 1 : 0.5) * 0.20

score = growth_signal_score = (近30天发布岗位数 / 5，最大值为1) * 0.50 + (若为技术岗位则乘1.2否则乘1) * 部门权重 * 0.30 + (若包含紧急表述则乘1否则乘0.5) * 0.20

Step 5: Edge Cases

步骤5：边缘情况

Competitor may post jobs across many channels but only announce key roles on Twitter — Twitter hiring posts often signal strategic priorities, not routine backfills

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

竞品可能在多个渠道发布职位，但仅在Twitter上宣布关键岗位——Twitter上的招聘推文通常代表战略优先级，而非常规补位

其他备选方案：

结果少于20条：扩大搜索词范围；移除次要过滤条件
无结果：验证搜索词是否正确；尝试其他表述方式
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

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Monitoring Twitter For Competitor Job Posts

监控Twitter上的竞品职位发布

Results: [N] | Date: [DATE]

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

结果数量: [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]

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最佳结果: [描述] 关键发现: [洞察]

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Troubleshooting

故障排除

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：扩大主搜索词范围；移除限制性过滤条件。 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。