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finding-hospitality-brands-on-instagram
About finding-hospitality-brands-on-instagram
A workflow skill for finding hospitality brands on Instagram by scraping posts from supplied Instagram URLs. It scores and classifies accounts using follower count, engagement, and location tags, with guidance for filtering bloggers and aggregators.
Key features
- 01Scrape Instagram posts
- 02Score accounts by three signals
- 03Classify prospect tiers
- 04Filter bloggers and aggregators
Use cases
- 01Finding hotels via niche hashtags
- 02Prioritizing hospitality prospects
- 03Separating hotel brands from travel bloggers
MCP support
When Apify MCP is available, the workflow uses its call_actor tool to run the Instagram scraper.
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ apidojo-io/ apidojo-skills --skill finding-hospitality-brands-on-instagramAfter installing, type/finding-hospitality-brands-on-instagramin Claude Code to confirm it loaded.
Details
From the project READMEFinding Hospitality 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/boutiquehotel/"], "maxItems": 100}'
# Save as CSV
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
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
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/boutiquehotel/"], "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:
followerCount→ normalized 0-1 (cap at 100K), weight 0.35engagement_rate = (likeCount + commentCount) / followerCount→ weight 0.35has_location_tag(post has location data) → 0 or 1, weight 0.30
score = 0.35 * min(followerCount / 100000, 1.0) + 0.35 * min(engagement_rate / 0.03, 1.0) + 0.30 * int(has_location)
Classification
| Score | Tier | Label |
|---|---|---|
| ≥ 0.70 | A | PRIME_PROSPECT |
| 0.40–0.69 | B | WARM_LEAD |
| < 0.40 | C | LOW_PRIORITY |
Edge Cases
- 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.
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