finding-restaurant-brands-on-instagram

调用 Apify 的 Instagram 抓取器，按标签、地点或主页等输入获取账号数据，再按互动率、粉丝数与商业主页特征加权评分并分为 A、B、C 三档，输出 JSON 或 CSV，用于发现餐饮品牌潜客。

apidojo-io

热度 7.65

最近更新 2026-09-03 04:41:41

分类：营销依赖：第三方 API / 代码执行 / MCP 服务应用场景：社交媒体 / 研究 / 市场分析 / 推荐

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add finding-restaurant-brands-on-instagram

Metadata

name: finding-restaurant-brands-on-instagram
description: Discovers restaurant brands, food businesses, and hospitality accounts on Instagram using apidojo's Instagram Scraper on Apify. Triggers when the user asks to: find restaurant brands on Instagram, discover food businesses for outreach on Instagram, build a list of restaurant Instagram accounts, find cafes or food chains active on Instagram, identify local restaurant brands by hashtag or location on Instagram, or prospect food and beverage businesses via their Instagram presence. Returns account handle, follower count, bio, post count, and engagement data. Ideal for food tech SaaS vendors, beverage distributors, and B2B service providers targeting restaurants.
license: Apache-2.0
metadata: {"author":"apidojo","version":"1.0","apify-actor":"apidojo/instagram-scraper"}

Finding Restaurant Brands On Instagram

Inputs

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

How to Run

Using run_actor.js (recommended)

# Quick answer (table)
node scripts/run_actor.js --actor "apidojo~instagram-scraper" --input '{"startUrls": ["https://www.instagram.com/explore/tags/restaurantowner/"], "maxItems": 100}'

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

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

REST API fallback

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/restaurantowner/"], "maxItems": 100}'

If Apify MCP is available: Use the Apify MCP call_actor tool with actor apidojo~instagram-scraper and the input above.

Scoring & Ranking

Score each account by:

engagement_rate = (likeCount + commentCount) / followerCount → weight 0.4
followerCount → normalized 0-1, weight 0.3
has_business_bio (bio contains phone/website/address keywords) → weight 0.3

score = 0.4 * min(engagement_rate / 0.05, 1.0) + 0.3 * min(followerCount / 50000, 1.0) + 0.3 * int(has_business_bio)

Classification

Score	Tier	Label
≥ 0.70	A	PRIME_PROSPECT
0.40–0.69	B	WARM_LEAD
< 0.40	C	LOW_PRIORITY

Edge Cases

Hashtag too broad: #food returns millions of posts from consumers, not businesses. Use niche tags like #restaurantowner or #foodbiz.
No business in bio: Filter by accounts that have website links or phone in bio.
Consumer accounts mixed in: Filter by followerCount > 500 and postCount > 20.
Private account: No post data — skip.
Duplicate accounts: Same brand may post under multiple hashtags — deduplicate by username.