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Instagram Post Scraper Pro

👁 Apify
👁 Version
👁 Pricing
👁 Platform
👁 Modes
👁 MCP-ready

Instagram post intelligence: captions, hashtags, engagement, media URLs, hashtag categorization, and MCP-ready providerHealth metadata. Desktop+embed fallback chain. No login cookies required.

Why This Actor Is Better

Competitor comparison

Key Features

• 🛡️ Multi-API fallback chain — Instagram desktop (Playwright) primary with automatic embed HTML fallback.
• 🏷️ Hashtag categorization — auto-maps hashtags to 7 categories (fitness, food, travel, fashion, beauty, business, tech).
• 📊 Engagement scoring — engagement-rate-per-post + caption sentiment on every result.
• 🎬 Media detection — image/video/carousel classification + media URL extraction.
• 🎯 Confidence scoring — 0.0–1.0 reliability score.
• 🔗 Source attribution — know which providers contributed each field.
• ⚡ Cache-first mode — fast_lookup hits KVS cache (1h TTL).
• 🤖 MCP-ready — providerHealth{} on every result.
• 🔌 Optional Google Vision — drop in GOOGLE_VISION_API_KEY for image labeling.
• 💰 Transparent PPE pricing — pay only for successful posts.

Architecture

flowchart TD
 A[Input: usernames + mode] --> B{Cache hit?}
 B -- yes --> C[Return cached base posts]
 B -- no --> D[Primary: Instagram desktop Playwright]
 D -- fails --> E[Fallback: Instagram embed HTML httpx]
 D --> F[Normalize: caption/media/likes/comments]
 E --> F
 F --> G[Enrichment layer]
 G --> G1[Hashtag extraction + categorization]
 G --> G2[Engagement-rate scoring]
 G --> G3[Caption sentiment]
 G --> G4[Email/URL extraction]
 G --> G5[Optional: Google Vision image tags]
 G1 --> H[Confidence scoring + source attribution]
 G2 --> H
 G3 --> H
 G4 --> H
 G5 --> H
 H --> I[Progressive dataset push]
 I --> J[Webhook + MCP-ready metadata]
 C --> J

Modes

Input

Example input

{
"mode":"enrich",
"queries":["cristiano","leomessi"],
"maxResults":50,
"webhookUrl":"https://your-app.com/webhook"
}

Output

Example output

{
"query":"cristiano",
"username":"cristiano",
"postUrl":"https://www.instagram.com/p/Cxxx/",
"author":"cristiano",
"caption":"Great game today! ⚽ #football #fitness",
"imageUrl":"https://...",
"mediaType":"image",
"timestamp":"2026-06-28T10:00:00Z",
"likes":1200000,
"comments":8500,
"hashtags":["football","fitness"],
"hashtagCategories":["fitness"],
"captionSentiment":"positive",
"engagementRate":141.18,
"emails":[],
"urls":[],
"confidenceScore":0.85,
"sources":["instagram","hashtag_analyzer","engagement_scorer"],
"providerHealth":{
"instagram_desktop":{"status":"ok","latency_ms":4500,"error":null},
"hashtag_analyzer":{"status":"ok","latency_ms":0,"error":null},
"engagement_scorer":{"status":"ok","latency_ms":0,"error":null}
},
"cacheStatus":"miss",
"mode":"enrich",
"extractedAt":"2026-06-28T23:55:00.000Z"
}

Pricing

Optional event: media_url at $0.20/1K posts with extracted media URL.

Use Cases

• Content trend research — track hashtag categories and engagement across creators
• Competitor analysis — benchmark post engagement and caption sentiment
• Influencer vetting — measure post-level engagement rates before partnerships
• Hashtag strategy — find which categories drive engagement in your niche
• Media monitoring — extract image/video URLs for asset libraries
• MCP agent workflows — providerHealth lets agents route around failures
• Market research — map content categories by creator audience
• Image AI pipelines — optional Google Vision tagging for visual classification

Integration Examples

Python (Apify SDK)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("ayeeyee/instagram-post-scraper-pro").call(run_input={
"mode":"enrich",
"queries":["cristiano","leomessi"],
"maxResults":50,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(f"@{item['username']}: {item['likes']} likes, {item['hashtagCategories']}, {item['captionSentiment']}")

cURL

curl-X POST "https://api.apify.com/v2/acts/ayeeyee~instagram-post-scraper-pro/runs?token=YOUR_TOKEN"\
-H"Content-Type: application/json"\
-d'{"mode":"enrich","queries":["cristiano"],"maxResults":25}'

MCP (Model Context Protocol)

$npx -y @apify/actors-mcp-server --tools actors,ayeeyee/instagram-post-scraper-pro

Agents can call call-actor and use providerHealth + hashtagCategories + engagementRate to filter and route.

FAQ

Q: Do I need Instagram login cookies? No. Public posts are scraped via DOM and meta tags — no login required. Private accounts return no posts.

Q: How does the desktop+embed fallback work? If Playwright fails (blocked, timeout, login wall), the actor falls back to fetching profile HTML for post URLs and thumbnails (degraded — no per-post captions). providerHealth shows which provider succeeded.

Q: How are hashtag categories assigned? Open-source keyword mapping to 7 categories: fitness, food, travel, fashion, beauty, business, tech. A post with #fitness and #gym gets categorized as fitness.

Q: What is engagementRate? Likes-to-comments ratio. Higher = more passive engagement (likes without discussion). Useful for content-type benchmarking.

Q: Can I call this from an LLM agent? Yes. MCP-ready with providerHealth{}, hashtagCategories, engagementRate, and confidenceScore.

Q: What is the cache TTL? 1 hour for fast_lookup. Enrichment results are not cached (always fresh).

Legal & Compliance

Scrapes publicly available Instagram post data. Does not access private data, bypass authentication, or store credentials. Users are responsible for complying with GDPR/CCPA and Instagram's ToS.

AI-DLC / Data Lifecycle

• Collection — Public data only; respects robots.txt and rate limits.
• Processing — In-memory normalization; no PII logging.
• Storage — Results in user's Apify dataset, not retained by actor.
• Usage — Content analysis, trend research, legitimate marketing.
• Disposal — No long-term caching (1h TTL for base results only).

Enhancement Roadmap (API / MCP Integrations)

• Google Vision image tagging MCP — auto-label post images (optional, user key)
• OpenAI caption summarization MCP — 1-line summaries for feed aggregation
• Chartmetric sound trends MCP — for Reels/audio trend correlation
• LangGraph workflow — IG posts → hashtag clustering → trend alerts
• Vector store — semantic post deduplication across creators

Changelog

• v3.0 — Multi-API orchestration edition: desktop+embed fallback, hashtag categorization, engagement scoring, MCP-ready providerHealth, optional Google Vision, expanded FAQ, integration examples, volume pricing.
• v2.0 — Premium README, AI-DLC docs, confidence scoring, source attribution.
• v1.0 — Initial release with Playwright scraping and hashtag extraction.

Links

• Apify Store: https://apify.com/ayeeyee/instagram-post-scraper-pro
• Actor ID: CgkI4B4lKRsabJPyW