Instagram Tagged Mentions Posts Scraper

Instagram Tagged Mentions Posts Scraper

Instagram Tagged Mentions Posts Scraper finds and extracts Instagram posts where a target profile is tagged or mentioned — fast, structured, and reliable. It solves the “who tagged or mentioned us?” visibility gap by collecting post metadata, engagement, media, and tagging details. Built for marketers, developers, analysts, and researchers, this Instagram mentions scraper works as an Instagram tagged posts scraper and Instagram @mentions extractor to help you scrape Instagram posts mentioning a user at scale and track brand or profile mentions with confidence. Use it as an Instagram tagged feed scraper and Instagram mentions API alternative to power monitoring, reporting, and analytics.

What data / output can you get?

Below are the exact fields pushed to the Apify dataset for each post (one item per post). You can export the dataset to JSON, CSV, or Excel from Apify. Examples reflect real keys and realistic values.

Data field	Description	Example value
post_id	Unique Instagram media identifier	"3712235016094313298_1541770582"
short_code	Post shortcode used in URLs	"DOEghQxEWtS"
post_type	Classification: user_post, tagged, mentioned	"tagged"
like_count	Number of likes	2667508
comment_count	Number of comments	10389
video_view_count	View count for video posts (or derived from play count)	61216312
video_play_count	Play count for video posts (if available)	61216312
post_date	ISO timestamp derived from taken_at	"2025-09-01T18:57:28.000Z"
display_url	Primary media URL (image/video thumbnail)	"https://scontent.cdninstagram.com/v/t51..."
caption	Post caption text	"@mrbeast CANT BEAT ME 😂 #ishowspeed"
alt	Accessibility caption (if present)	null
video_duration	Video duration in seconds (if applicable)	52.516
video_url	Direct video URL (if applicable)	"https://instagram.fbrs4-1.fna.fbcdn.net/o1/v/t2/f2..."
is_affiliate	Affiliate marker	false
is_paid_partnership	Paid partnership marker	true
is_ad	Ad marker	false
sponsor_user	Array of sponsor users if detected	[]
tagged_users	Array of tagged users (user_id, username, full_name)	[{"user_id":"2278169415","username":"mrbeast","full_name":"MrBeast"}]
mentioned_user	Target username if mentioned in caption	"mrbeast"
latest_comments	Array of top/latest comments (best-effort, up to 1 by default)	[{"id":"comment_0","text":"🔥","owner":{"id":"123","username":"user"}}]
owner	Owner (author) object with profile metadata and counts	{"id":"1541770582","username":"ishowspeed", ...}
success	Processing success flag	true

Notes:

• latest_comments is populated via a resilient, multi-strategy flow (HTML parsing → embedded item data → API fallback).
• sponsor_user is extracted from multiple possible sponsor/branded content fields when available.
• In rare failures, items include success: false with an error message.

Key features

• 🚀 High-precision tag & mention detection
  Accurately classifies each post as user_post, tagged, or mentioned by checking usertags and caption mentions — perfect for an Instagram profile mentions tracker and Instagram mention monitoring scraper.

• 🧠 Comprehensive post metadata
  Collects captions, media links, alt text, likes, comments, views/plays, video duration, and owner profile details. Ideal for Instagram mentions data extraction and analytics.

• 🔍 Related-network enrichment
  If the target’s own feed doesn’t yield enough tag/mention hits, the actor explores related accounts to discover extra posts that tag or mention your primary target.

• 🛡️ Residential proxy reliability
  Preconfigured to use premium residential proxies via Apify for robust, production-grade scraping as an automated Instagram tag and mention scraper.

• 📦 Real-time dataset + summary output
  Each post is pushed to the Apify dataset as soon as it’s collected. A final JSON summary (metadata + posts) is also stored in the Key-Value Store under the key OUTPUT.

• 🔧 Developer-friendly (Python-based)
  Runs on Apify’s Python runtime and integrates with the Apify API, making it a practical Python Instagram mentions scraper and IG mentions scraper for automation pipelines.

• 📈 Scalable by design
  Supports multi-account input, pagination, and request pacing — ready for batch monitoring and campaign reporting workflows.

How to use Instagram Tagged Mentions Posts Scraper - step by step

1. 🔑 Sign in to Apify
   Log into your Apify account (create one if needed).

2. 🧭 Open the actor
   Find and open “Instagram Tagged Mentions Posts Scraper” in the Apify Store.

3. 🧾 Enter targets (required)
   In urlsOrKeywords, enter Instagram usernames (e.g., mrbeast) or full profile URLs. You can mix formats and add multiple targets.

4. 🔢 Set limits
   Use maxPosts to cap how many posts to collect per user (10–1000).

5. 🌐 Configure proxies (optional)
   proxyConfiguration is available. The actor is pre-configured to use premium residential proxies for reliability.

6. ▶️ Run the actor
   Click “Start” to begin. Posts are pushed to the dataset in real time while logs show progress.

7. 💾 Download results
   Open the run’s dataset to export results in your preferred format (JSON, CSV, or Excel). The final summary JSON is also available in the Key-Value Store under the key OUTPUT.

Pro Tip: Automate recurring monitoring with Apify Scheduler and pull results via the Apify API to feed dashboards, BI tools, or alerting systems.

Use cases

Use case	Description
Brand monitoring – tagged/mentioned posts	Track where your brand is tagged or mentioned to quantify UGC and campaign reach.
Influencer collaboration analysis	Identify creators tagging or referencing your handle to map relationships and measure impact.
Competitive intelligence	Monitor competitors’ tagged photos and @mentions to benchmark engagement and momentum.
PR & campaign reporting	Aggregate mentions across networks to report on performance, sentiment inputs, and earned media.
Social data enrichment (API pipeline)	Feed structured post-level data (engagement, media, tags) to your data warehouse or CRM.
Academic/market research	Analyze public tagged/mentioned content for trend discovery and audience behavior studies.

Why choose Instagram Tagged Mentions Posts Scraper?

Built for precision and reliability, this Instagram tagged photos scraper delivers structured, analysis-ready data at scale — without fragile browsers or flaky extensions.

• 🎯 Accurate tag/mention detection with post_type classification
• ⚙️ Production-grade stability using premium residential proxies
• 📊 Rich engagement and media fields for deeper analysis
• 🧩 Developer-ready with Python runtime and Apify API integration
• 🔒 Public-data focus for ethical collection workflows
• 🚀 Scales to multiple profiles and large post counts
• 🔗 Works as an Instagram user tagged posts downloader and Instagram mentions API alternative

Bottom line: a robust, automated Instagram tag and mention scraper for teams who need dependable social data.

Is it legal / ethical to use Instagram Tagged Mentions Posts Scraper?

✅ Yes, when used responsibly.

This actor collects publicly available Instagram content and does not access private profiles or authenticated data. Keep these guidelines in mind:

• Only collect public data you’re permitted to use.
• Avoid scraping private profiles or sensitive personal information.
• Comply with applicable regulations (e.g., GDPR, CCPA) and Instagram’s terms.
• Consult your legal team for edge cases or jurisdiction-specific requirements.

Input parameters & output format

Below are the exact input fields and output objects used by the actor.

JSON input example

{
  "urlsOrKeywords": [
    "mrbeast",
    "https://www.instagram.com/ishowspeed"
  ],
  "maxPosts": 25,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Input parameters

• urlsOrKeywords (array, required)
  Description: Enter usernames (e.g., mrbeast) or full profile URLs to target.
  Default: none (required)

• maxPosts (integer, optional)
  Description: Limit the number of posts to scrape for each target account. (10-1000)
  Default: 10
  Min: 10, Max: 1000

• proxyConfiguration (object, optional)
  Description: This actor is pre-configured to use premium residential proxies for maximum reliability.
  Prefill: {"useApifyProxy": false}

Dataset item (per-post) JSON example

{
  "post_id": "3712235016094313298_1541770582",
  "short_code": "DOEghQxEWtS",
  "is_affiliate": false,
  "is_paid_partnership": false,
  "is_ad": false,
  "like_count": 2667508,
  "comment_count": 10389,
  "video_view_count": 61216312,
  "video_play_count": 61216312,
  "post_date": "2025-09-01T18:57:28.000Z",
  "display_url": "https://scontent.cdninstagram.com/v/t51...jpg",
  "alt": null,
  "caption": "@mrbeast CANT BEAT ME 😂 #ishowspeed",
  "video_duration": 52.516,
  "video_url": "https://instagram.fbrs4-1.fna.fbcdn.net/o1/v/t2/f2/...mp4",
  "sponsor_user": [],
  "owner": {
    "id": "1541770582",
    "username": "ishowspeed",
    "is_verified": true,
    "profile_pic_url": "https://scontent-bru2-1.cdninstagram.com/v/t51...jpg",
    "blocked_by_viewer": false,
    "restricted_by_viewer": null,
    "followed_by_viewer": false,
    "full_name": "IShowSpeed",
    "has_blocked_viewer": false,
    "is_embeds_disabled": false,
    "is_private": false,
    "is_unpublished": false,
    "requested_by_viewer": false,
    "pass_tiering_recommendation": true,
    "edge_owner_to_timeline_media": {
      "count": 0
    },
    "edge_followed_by": {
      "count": 0
    }
  },
  "latest_comments": [
    {
      "id": "comment_0",
      "text": "🔥",
      "created_at": 1725216000,
      "did_report_as_spam": false,
      "owner": {
        "id": "123456",
        "is_verified": false,
        "profile_pic_url": "https://instagram.cdn/...jpg",
        "username": "fan_account"
      },
      "viewer_has_liked": false,
      "edge_liked_by": {
        "count": 12
      }
    }
  ],
  "post_type": "tagged",
  "tagged_users": [
    {
      "user_id": "2278169415",
      "username": "mrbeast",
      "full_name": "MrBeast"
    }
  ],
  "mentioned_user": "mrbeast",
  "success": true
}

In error cases, items may look like:

{
  "post_id": "3712235016094313298_1541770582",
  "short_code": "DOEghQxEWtS",
  "success": false,
  "error": "Error message here"
}

Final summary (Key-Value Store, key: OUTPUT)

At the end of the run, the actor also stores a summary object in the Key-Value Store:

{
  "metadata": {
    "total_users": 2,
    "total_posts": 37,
    "successful_users": 2,
    "failed_users": 0,
    "processing_timestamp": "2026-04-11T10:18:41.841Z"
  },
  "posts": [
    { "...": "same structure as dataset items above" }
  ]
}

FAQ

Is there a free trial or test period?

Yes. You can run the Instagram Tagged Mentions Posts Scraper on Apify and inspect dataset outputs before scaling. The actor also provides a final JSON summary in the Key-Value Store for quick validation.

Can it extract posts where a user is only mentioned in the caption?

Yes. The scraper checks captions for @mentions and labels those posts with post_type: "mentioned". It’s a practical Instagram @mentions extractor for tracking references in text.

Does it capture tagged photos and videos?

Yes. It reads usertags for tagged profiles and sets post_type: "tagged". Media fields like display_url, video_url, and video_duration help you analyze tagged photos and videos comprehensively.

How many posts can I scrape per user?

You control this with maxPosts (range 10–1000). The actor paginates through feeds and pushes each collected post to the dataset in real time.

Is this an alternative to an Instagram mentions API?

Yes. It functions as an Instagram mentions API alternative by collecting public tagged/mentioned posts, including engagement and media fields, without requiring authenticated API access.

Does it work for multiple usernames in one run?

Yes. Add multiple usernames or profile URLs to urlsOrKeywords. It will iterate targets, push posts to the dataset, and provide an overall summary (total_users, total_posts, etc.).

Is login required? Does it access private data?

No. It targets publicly available content and does not access private profiles or authenticated endpoints. It also leverages residential proxies for reliability.

Can developers integrate this into pipelines?

Yes. Use the Apify API to fetch dataset items and the OUTPUT summary. This makes it easy to automate Instagram mentions data extraction in dashboards, ETL jobs, or alerts.

Final thoughts

Instagram Tagged Mentions Posts Scraper is purpose-built to track where profiles are tagged or mentioned — complete with engagement metrics, media links, and owner details. It helps marketers, analysts, and researchers extract Instagram tagged feed data and mentions at scale, automate monitoring, and power reporting. Developers can pull dataset items or the OUTPUT summary via API to integrate seamlessly into analytics and BI stacks. Start extracting smarter IG mentions data today and turn tagged/mentioned posts into actionable insights.