finding-ecommerce-brands-for-outreach

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English

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Chinese

Finding E-commerce Brands for Outreach

挖掘可拓展合作的电商品牌

Finds DTC and e-commerce brands active on Instagram and/or TikTok by searching product-category hashtags and filtering accounts whose bios signal commercial activity (shop links, product keywords, "DTC", "founder", etc.).

通过搜索产品品类话题标签，并筛选简介中带有商业活动标识（店铺链接、产品关键词、"DTC"、"创始人"等）的账号，找到活跃在Instagram和/或TikTok上的DTC及电商品牌。

Prerequisites

前置条件

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

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

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 — 主页、话题标签、地点、音频页面、短视频
`until`	字符串	可选	—	爬取截止日期（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

Workflow

工作流程

Progress:
- [ ] Step 1: Define product category and target platform(s)
- [ ] Step 2: Build hashtag and keyword list
- [ ] Step 3: Scrape accounts from product hashtags
- [ ] Step 4: Filter for brand signals in bio
- [ ] Step 5: Rank and deliver outreach list

进度:
- [ ] 步骤1：定义产品品类及目标平台
- [ ] 步骤2：构建话题标签与关键词列表
- [ ] 步骤3：从产品话题标签中爬取账号
- [ ] 步骤4：筛选简介中的品牌标识
- [ ] 步骤5：排序并生成拓展合作列表

Step 1: Clarify Parameters

步骤1：明确参数

Ask the user for:

Product category (e.g., "skincare", "dog accessories", "home gym equipment")
Platform — Instagram, TikTok, or both
Brand signals to look for (e.g., shop links, "founder", "official", product-related keywords in bio)
Min followers (default: 1,000 — filters out personal accounts)
Max followers (optional — e.g., 500,000 to focus on emerging brands)
Number of brands (default: 50)

向用户确认以下信息：

产品品类（例如：“护肤品”、“狗狗配饰”、“家庭健身器材”）
平台 — Instagram、TikTok，或两者兼顾
需识别的品牌标识（例如：店铺链接、“创始人”、“官方”、简介中的产品相关关键词）
最低粉丝数（默认：1000 — 过滤个人账号）
最高粉丝数（可选 — 例如：500000，聚焦新兴品牌）
品牌数量（默认：50）

Step 2: Build Hashtag List

步骤2：构建话题标签列表

Generate product-category hashtags. Bias toward brand/seller hashtags, not consumer hashtags:

Skincare →

#skincarebrand

#skincarefounder

#cleanbeauty

#skincareproducts

Dog accessories →

#dogbrand

#petbusiness

#dogaccessories

#handmadedogtoys

Home gym →

#homegymequipment

#fitnessbrand

#gymequipment

#fitnessproducts

生成产品品类相关的话题标签，优先选择品牌/卖家相关标签，而非消费者标签：

护肤品 →

#skincarebrand

#skincarefounder

#cleanbeauty

#skincareproducts

狗狗配饰 →

#dogbrand

#petbusiness

#dogaccessories

#handmadedogtoys

家庭健身器材 →

#homegymequipment

#fitnessbrand

#gymequipment

#fitnessproducts

Step 3: Scrape Platform(s)

步骤3：爬取平台数据

Instagram — If Apify MCP is available:

Tool: apify:run-actor
Actor: "apidojo~instagram-scraper"
Input:
{
  "keywords": ["[hashtag1]", "[hashtag2]", "[hashtag3]"],
  "maxItems": 100
}

TikTok — If Apify MCP is available:

Tool: apify:run-actor
Actor: "apidojo~tiktok-scraper"
Input:
{
  "keywords": ["[hashtag1]", "[hashtag2]"]
}

REST API fallback (Instagram):

bash

curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~instagram-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["[hashtag1]", "[hashtag2]"], "maxItems": 100}'

REST API fallback (TikTok):

bash

curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["[hashtag1]", "[hashtag2]"]}'

Collect unique account handles from results. Wait for

SUCCEEDED

before fetching dataset.

Instagram — 若Apify MCP可用：

工具: apify:run-actor
Actor: "apidojo~instagram-scraper"
输入:
{
  "keywords": ["[hashtag1]", "[hashtag2]", "[hashtag3]"],
  "maxItems": 100
}

TikTok — 若Apify MCP可用：

工具: apify:run-actor
Actor: "apidojo~tiktok-scraper"
输入:
{
  "keywords": ["[hashtag1]", "[hashtag2]"]
}

REST API备选方案（Instagram）：

bash

curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~instagram-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["[hashtag1]", "[hashtag2]"], "maxItems": 100}'

REST API备选方案（TikTok）：

bash

curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["[hashtag1]", "[hashtag2]"]}'

从结果中收集唯一的账号名。等待任务状态变为

SUCCEEDED

后再获取数据集。

Step 4: Filter for Brand Signals

步骤4：筛选品牌标识

From profile bios, keep accounts where ANY of the following are true:

Bio contains a link (Linktree, Shopify store, website)
Bio contains keywords: "shop", "founder", "CEO", "official", "buy", "available at", "®", "™"
Bio contains product-specific language matching the category
Profile is a business account (Instagram only:
```
businessCategoryName
```
field present)
Follower count within specified range

Remove: personal accounts without shop signals, celebrity/influencer accounts (unless user wants these), accounts with 0 posts.

从主页简介中筛选符合以下任一条件的账号：

简介包含链接（Linktree、Shopify店铺、官网）
简介包含关键词：“shop”、“founder”、“CEO”、“official”、“buy”、“available at”、“®”、“™”
简介包含与品类匹配的产品相关描述
账号为商业账号（仅Instagram：存在
```
businessCategoryName
```
字段）
粉丝数在指定范围内

移除：无店铺标识的个人账号、名人/网红账号（除非用户需要）、发布帖子数为0的账号。

Step 5: Rank and Format

步骤5：排序与格式化

Rank by engagement rate (likes + comments / followers) within follower range.

在指定粉丝数范围内，按互动率（点赞+评论数/粉丝数）排序。

Output Format

输出格式

undefined

undefined

E-commerce Brand Outreach List: [CATEGORY]

电商品牌拓展合作列表: [品类]

Platform(s): [Instagram / TikTok / Both] | Results: [N] brands | Date: [DATE]

#	Handle	Platform	Followers	Category	Bio Excerpt	Website	Eng. Rate
1	@[name]	[IG/TT]	[N]	[cat]	[bio]	[url]	[X.X%]

平台: [Instagram / TikTok / 两者兼顾] | 结果: [N]个品牌 | 日期: [DATE]

序号	账号名	平台	粉丝数	品类	简介摘录	官网	互动率
1	@[name]	[IG/TT]	[N]	[cat]	[bio]	[url]	[X.X%]

Highlights

重点品牌

Fastest growing: @[handle] — [N] followers, [X.X%] engagement
Most established: @[handle] — [N] followers, [N] posts
Most active: @[handle] — posts [X]x per week

增长最快: @[handle] — [N]粉丝, [X.X%]互动率
最成熟品牌: @[handle] — [N]粉丝, [N]篇帖子
最活跃品牌: @[handle] — 每周发帖[X]次

Notes

说明

[N] total accounts found across hashtags
[N] filtered out (no brand signals in bio)
[N] final brands in list

undefined

从话题标签中共找到[N]个账号
筛选移除[N]个账号（简介无品牌标识）
最终列表包含[N]个品牌

undefined

Troubleshooting

故障排查

Mostly personal accounts in results: Use more brand-specific hashtags (e.g.,

#[category]brand

instead of

#[category]

). Too few results: Expand hashtag list or lower minimum follower count. Results from large established brands only: Add

#small[category]brand

#indie[category]

, or

#handmade[category]

hashtags.

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

bash

undefined

结果多为个人账号： 使用更偏向品牌的话题标签（例如用

#[品类]brand

代替

#[品类]

）。 结果数量过少： 拓展话题标签列表或降低最低粉丝数要求。 结果仅包含大型成熟品牌： 添加

#small[品类]brand

、

#indie[品类]

或

#handmade[品类]

这类话题标签。

推荐使用 — run_actor.js（自动处理等待、输出及文件保存）：

bash

undefined

Quick answer (prints table to chat)

快速输出（在聊天窗口打印表格）

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

Save as CSV

保存为CSV

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

Save as JSON

保存为JSON

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

> `APIFY_TOKEN` must be set in environment or `.env` file.

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

> `APIFY_TOKEN`需在环境变量或`.env`文件中配置。