finding-real-estate-professionals-on-twitter

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Original

English

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Translation

Chinese

Finding Real Estate Professionals On Twitter

在Twitter上查找房地产专业人士

Inputs

输入参数

Parameter	Type	Required	Default	Notes
`startUrls`	array	Optional	`[]`	Twitter profile or tweet URLs
`twitterHandles`	array	Optional	`[]`	Twitter usernames (without @)
`twitterUserIds`	array	Optional	`[]`	Twitter user IDs
`getFollowers`	boolean	Optional	`false`	Extract follower lists
`getFollowing`	boolean	Optional	`false`	Extract following lists
`getRetweeters`	boolean	Optional	`false`	Extract retweeters of a tweet URL
`includeUnavailableUsers`	boolean	Optional	`false`	Include unavailable/suspended users
`maxItems`	number	Optional	Unlimited	Maximum users to return
`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	`[]`	Twitter个人主页或推文URL
`twitterHandles`	array	可选	`[]`	Twitter用户名（不带@）
`twitterUserIds`	array	可选	`[]`	Twitter用户ID
`getFollowers`	boolean	可选	`false`	提取粉丝列表
`getFollowing`	boolean	可选	`false`	提取关注列表
`getRetweeters`	boolean	可选	`false`	提取推文的转发者列表
`includeUnavailableUsers`	boolean	可选	`false`	包含不可用/被封禁用户
`maxItems`	number	可选	无限制	返回的最大用户数量
`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）

bash

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bash

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Quick answer (table)

快速查看结果（表格形式）

node scripts/run_actor.js --actor "apidojo~twitter-user-scraper" --input '{"keywords": ["realtor", "real estate agent"], "maxItems": 100}'

Save as CSV

保存为CSV文件

node scripts/run_actor.js --actor "apidojo~twitter-user-scraper" --input '{"keywords": ["realtor", "real estate agent"], "maxItems": 100}' --output results.csv --format csv

Save as JSON

保存为JSON文件

node scripts/run_actor.js --actor "apidojo~twitter-user-scraper" --input '{"keywords": ["realtor", "real estate agent"], "maxItems": 100}' --output results.json --format json

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node scripts/run_actor.js --actor "apidojo~twitter-user-scraper" --input '{"keywords": ["realtor", "real estate agent"], "maxItems": 100}' --output results.json --format json

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REST API fallback

REST API备用方案

bash

curl -X POST "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["realtor", "real estate agent"], "maxItems": 100}'

If Apify MCP is available: Use the Apify MCP

call_actor

tool with actor

apidojo~twitter-user-scraper

and the input above.

bash

curl -X POST "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["realtor", "real estate agent"], "maxItems": 100}'

如果Apify MCP可用：使用Apify MCP的

call_actor

工具，指定actor为

apidojo~twitter-user-scraper

并传入上述输入参数。

Scoring & Ranking

评分与排名

Score each user by:

```
followers
```
→ normalized 0-1 (cap at 50K), weight 0.30
```
bio_match_score
```
(contains: realtor, broker, real estate, property, agent, MLS) → 0 or 1, weight 0.40
```
has_website
```
→ 0 or 1, weight 0.30

python

score = 0.30 * min(followers / 50000, 1.0) + 0.40 * int(bio_match) + 0.30 * int(has_website)

按照以下维度为每位用户评分：

```
followers
```
→ 归一化至0-1（上限为50K），权重0.30
```
bio_match_score
```
（包含关键词：realtor、broker、real estate、property、agent、MLS）→ 0或1，权重0.40
```
has_website
```
→ 0或1，权重0.30

python

score = 0.30 * min(followers / 50000, 1.0) + 0.40 * int(bio_match) + 0.30 * int(has_website)

Classification

分类

Score	Tier	Label
≥ 0.70	A	PRIME_OUTREACH
0.40–0.69	B	HOT_CANDIDATE
< 0.40	C	LOW_PRIORITY

评分	等级	标签
≥ 0.70	A	PRIME_OUTREACH
0.40–0.69	B	HOT_CANDIDATE
< 0.40	C	LOW_PRIORITY

Edge Cases

边缘情况

Generic bio keywords: "house" or "home" match too broadly. Use "realtor", "real estate agent", "MLS".
Personal accounts mixed in: Filter by followers > 200 and has website link.
Bot accounts: Unusually high following-to-follower ratio — filter out.
Keyword not in bio: Twitter user search matches bio text — results may vary if bio is non-standard.
International agents: Use country-specific terms (e.g., "estate agent" for UK).

通用简介关键词："house"或"home"匹配范围过广，建议使用"realtor"、"real estate agent"、"MLS"等精准关键词。
混入个人账号：通过筛选粉丝数>200且包含网站链接的用户来排除。
机器人账号：关注数与粉丝数比例异常高的账号——过滤此类账号。
简介中无关键词：Twitter用户搜索会匹配简介文本，若简介不规范，结果可能存在差异。
国际从业者：使用特定国家术语（例如，英国使用"estate agent"）。