finding-hospitality-brands-on-instagram

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Original

English

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Translation

Chinese

Finding Hospitality Brands On Instagram

在Instagram上寻找酒店业品牌

Inputs

输入参数

Parameter	Type	Required	Default	Notes
`startUrls`	array	✅	`[]`	Instagram URLs — profiles, hashtags, locations, audio pages, reels
`until`	string	Optional	—	Scrape posts until this date (YYYY-MM-DD)
`maxItems`	number	Optional	Unlimited	Maximum posts 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`	数组	✅	`[]`	Instagram链接 — 个人主页、话题标签、地点、音频页面、短视频
`until`	字符串	可选	—	抓取截止日期（格式：YYYY-MM-DD）
`maxItems`	数字	可选	无限制	返回的最大帖子数量
`customMapFunction`	字符串	可选	—	用于转换每个输出对象的JavaScript函数

How to Run

运行方法

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)

快速输出（表格形式）

node scripts/run_actor.js --actor "apidojo~instagram-scraper" --input '{"startUrls": ["https://www.instagram.com/explore/tags/boutiquehotel/"], "maxItems": 100}'

Save as CSV

保存为CSV文件

node scripts/run_actor.js --actor "apidojo~instagram-scraper" --input '{"startUrls": ["https://www.instagram.com/explore/tags/boutiquehotel/"], "maxItems": 100}' --output results.csv --format csv

Save as JSON

保存为JSON文件

node scripts/run_actor.js --actor "apidojo~instagram-scraper" --input '{"startUrls": ["https://www.instagram.com/explore/tags/boutiquehotel/"], "maxItems": 100}' --output results.json --format json

undefined

node scripts/run_actor.js --actor "apidojo~instagram-scraper" --input '{"startUrls": ["https://www.instagram.com/explore/tags/boutiquehotel/"], "maxItems": 100}' --output results.json --format json

undefined

REST API fallback

备用REST API方式

bash

curl -X POST "https://api.apify.com/v2/acts/apidojo~instagram-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls": ["https://www.instagram.com/explore/tags/boutiquehotel/"], "maxItems": 100}'

If Apify MCP is available: Use the Apify MCP

call_actor

tool with actor

apidojo~instagram-scraper

and the input above.

bash

curl -X POST "https://api.apify.com/v2/acts/apidojo~instagram-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls": ["https://www.instagram.com/explore/tags/boutiquehotel/"], "maxItems": 100}'

若Apify MCP可用：使用Apify MCP的

call_actor

工具，指定actor为

apidojo~instagram-scraper

并传入上述输入参数。

Scoring & Ranking

评分与排名

Score each account by:

```
followerCount
```
→ normalized 0-1 (cap at 100K), weight 0.35

engagement_rate = (likeCount + commentCount) / followerCount

→ weight 0.35

```
has_location_tag
```
(post has location data) → 0 or 1, weight 0.30

python

score = 0.35 * min(followerCount / 100000, 1.0) + 0.35 * min(engagement_rate / 0.03, 1.0) + 0.30 * int(has_location)

按以下维度对每个账号评分：

```
followerCount
```
→ 归一化至0-1（上限为10万），权重0.35

engagement_rate = (likeCount + commentCount) / followerCount

→ 权重0.35

```
has_location_tag
```
（帖子包含地点数据）→ 0或1，权重0.30

python

score = 0.35 * min(followerCount / 100000, 1.0) + 0.35 * min(engagement_rate / 0.03, 1.0) + 0.30 * int(has_location)

Classification

分类等级

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

特殊情况处理

Travel bloggers vs hotel brands: Bloggers post travel content too. Filter by accounts with location tag + bio mentions "hotel" or "resort".
Broad hashtag: #travel returns too many posts. Use #boutiquehotel, #hotelowner, #hotelmarketing.
Aggregator accounts: TripAdvisor or Booking.com aggregators — filter out by domain check.
Low engagement: Hospitality brands often have lower engagement than influencers — adjust threshold.
Consumer posts: Guests tag hotels in posts — filter by account follower count > 500.

旅游博主vs酒店品牌：博主也会发布旅游内容。通过“账号包含地点标签+简介提及‘hotel’或‘resort’”进行筛选。
宽泛话题标签：#travel会返回过多帖子。建议使用#boutiquehotel、#hotelowner、#hotelmarketing等精准标签。
聚合类账号：如TripAdvisor或Booking.com这类聚合平台账号——通过域名检测过滤。
低互动率：酒店品牌的互动率通常低于网红——需调整阈值。
用户生成内容：客人会在帖子中标记酒店——通过“账号粉丝数>500”进行筛选。