apidojo-io/apidojo-skills

finding-restaurant-brands-on-instagram

Discovers restaurant brands, food businesses, and hospitality accounts on Instagram using apidojo's Instagram Scraper on Apify.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/apidojo-io/apidojo-skills --skill finding-restaurant-brands-on-instagram

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Finding Restaurant Brands On Instagram


Inputs

ParameterTypeRequiredDefaultNotes
startUrlsarray✅[]Instagram URLs — profiles, hashtags, locations, audio pages, reels
untilstringOptional—Scrape posts until this date (YYYY-MM-DD)
maxItemsnumberOptionalUnlimitedMaximum posts to return
customMapFunctionstringOptional—JavaScript function to transform each output object

How to Run

Using run_actor.js (recommended)

bash
# 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

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

Classification

ScoreTierLabel
≥ 0.70APRIME_PROSPECT
0.40–0.69BWARM_LEAD
< 0.40CLOW_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.

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aus demselben Repository

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