Instagram Tagged Mentions Posts Scraper

Instagram Tagged Mentions Posts Scraper

Instagram Tagged Mentions Posts Scraper is a fast, production-ready Instagram tagged posts scraper that finds and extracts posts where specified accounts are tagged or “@mentioned”. It solves the brand monitoring and UGC discovery problem by classifying posts as tagged, mentioned, or user_post and enriching them with engagement metrics, media URLs, owner details, and recent comments — ready for analysis and automation. Built for marketers, developers, data analysts, and researchers, this Instagram mentions scraper doubles as an Instagram brand mentions tracker and Instagram profile tagged posts scraper that scales across multiple usernames and exports clean data to your stack.

What data / output can you get?

This Instagram tagged media downloader returns structured records for each post it finds and saves them to the Apify dataset (downloadable as JSON, CSV, Excel, or HTML). Below are the main fields it pushes:

Data type	Description	Example value
post_id	Unique Instagram post identifier	"3740410677015175173_2278169415"
short_code	Instagram shortcode slug for the post	"DPom7F1kWAF"
post_type	Classification of the record	"tagged", "mentioned", or "user_post"
like_count	Number of likes on the post	182727
comment_count	Number of comments on the post	3994
video_view_count	Video view count (if available)	5482837
video_play_count	Video play count (if available)	5482837
post_date	ISO timestamp when the post was published	"2025-10-10T16:02:47.000Z"
display_url	Primary media URL (image or thumbnail)	"https://scontent.cdninstagram.com/..."
caption	Post caption text (hashtags and mentions included)	"Sorry Karl for pushing you into lava... #ad"
video_duration	Video duration in seconds (if a video)	62.5
video_url	Direct video URL (if a video)	"https://instagram.fna.fbcdn.net/..."
tagged_users	Array of tagged users (id, username, full_name)	[{"user_id":"41009287","username":"tareqq","full_name":"Tareq"}]
mentioned_user	Target username if found in caption	"mrbeast"
owner	Post owner profile object	{"id":"2278169415","username":"mrbeast","is_verified":true,...}
latest_comments	Array with up to 1 recent comment (id, text, owner, likes)	[{"id":"...","text":"Great!","owner":{"username":"..."}}]
is_affiliate	Whether the post is marked affiliate	false
is_paid_partnership	Whether the post is a paid partnership	true
sponsor_user	Array of sponsor users if present	[]
success	Processing flag	true

Bonus: In addition to per-post dataset items, the actor stores a run-level summary in the Key‑Value Store under key OUTPUT with metadata (totals and timestamps) and the collected posts array.

Key features

• 🚀 Multi-target tag & mention detection
  Feed multiple usernames to scrape Instagram tagged mentions at once. Results are classified as tagged, mentioned, or user_post for clean filtering in your Instagram tag monitoring tool.

• 📊 Rich engagement & media metadata
  Captures like_count, comment_count, video_view_count, video_play_count, post_date, video_duration, display_url, and video_url — ideal for Instagram mentions analytics dashboards.

• 🧵 Context with tagged users and comments
  Collect Instagram user mentions and tagged_users arrays, plus up to one latest comment per post to support sentiment checks, UGC curation, and QA.

• 💼 Branded content signals
  Flags is_paid_partnership, is_affiliate, and aggregates sponsor_user arrays to help monitor ad collaborations and influencer mentions.

• 💾 Easy exports (CSV, JSON, Excel, HTML)
  Export Instagram tagged posts data to CSV/JSON from the Apify dataset, or stream via API into your data warehouse.

• 🔌 Developer-friendly & automation-ready
  Works seamlessly with the Apify API. Build an Instagram tagged posts API alternative into pipelines, schedule recurring runs, or trigger alerts for new @mentions.

• 🛡️ Proxy-enabled reliability
  Pre-configured to use premium residential proxies under the hood for resilient, scalable scraping as an automated Instagram mentions scraper.

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

1. 🔑 Sign in to Apify
   Create a free Apify account or log in.

2. 🔎 Open the actor
   Find “Instagram Tagged Mentions Posts Scraper” in the Apify Store and click Try for free.

3. 📝 Enter input data
   Add one or more usernames or full profile URLs in urlsOrKeywords (e.g., "mrbeast" or "https://www.instagram.com/mrbeast/").

4. 🔢 Set limits
   Adjust maxPosts to control per-user scraping depth (10–1000, default 10).

5. 🌐 Review proxy settings
   The actor is pre-configured for premium residential proxies. The input includes proxyConfiguration for proxy setup metadata.

6. ▶️ Run the actor
   Click Save & Start. The run detects tags and mentions, pushes each post to the dataset in real time, and stores a final summary in the Key‑Value Store under key OUTPUT.

7. 📥 Download results
   Export your dataset in JSON, CSV, Excel, or HTML, or fetch programmatically via the Apify API for your Instagram tagged posts data export.

Pro tip: Chain this Instagram @mentions extractor with Make, n8n, or Zapier to alert your team when new tagged or mentioned posts appear.

Use cases

Use case	Description
Brand monitoring & PR	Track where your brand is tagged or @mentioned and quantify reach using like_count, comment_count, and video_view_count.
Influencer collaboration audit	Identify paid partnerships and tagged collabs with is_paid_partnership, sponsor_user, and tagged_users data.
Campaign reporting	Scrape Instagram tagged photos and videos for post-campaign analysis and export structured data for BI.
Social listening & sentiment	Combine caption and latest_comments to analyze tone and surface UGC highlights for reporting.
Competitive benchmarking	Monitor competitor mentions using this Instagram tag monitoring tool without complex setup.
Developer pipelines	Use as an Instagram tagged posts API alternative to enrich data lakes with structured mentions and tags.
Academic & market research	Collect longitudinal tagged/mentioned media at scale to study trends and engagement patterns.

Why choose Instagram Tagged Mentions Posts Scraper?

Precision tag/mention detection, structured output, and automation-focused design make this a dependable Instagram brand mentions tracker.

• 🎯 Accurate classification
  Differentiates tagged vs mentioned vs user_post for clean filtering and downstream analysis.

• 📈 Scalable collection
  Control depth with maxPosts (10–1000) and run multi-username jobs to scrape Instagram mentions and tags at scale.

• 💻 Developer access
  Consume datasets and the OUTPUT summary via the Apify API to integrate with apps and ETL.

• 🔌 Workflow-friendly
  Built for automation in production — ideal as a backend Instagram tagged content collector for ongoing monitoring.

• 🔒 Public-data focus
  Operates without login, extracting publicly available content to keep implementations simple and robust.

• 🌐 Proxy-backed reliability
  Premium residential proxies ensure consistent performance compared to brittle browser extensions.

In short, it’s a stable, production-ready Instagram mentions scraper designed for analytics, monitoring, and automation — not a fragile plugin.

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

Yes, when used responsibly. This tool accesses publicly available Instagram content and does not require login.

Guidelines for compliant use:

• Collect only public data from Instagram profiles and posts.
• Do not attempt to access private profiles or non-public information.
• Respect applicable data protection laws (e.g., GDPR, CCPA) and Instagram’s terms.
• Use results for research, analytics, and monitoring — not for spam or abusive behavior.
• For edge cases or specific jurisdictions, consult your legal team.

Input parameters & output format

Example JSON input

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

Input fields (from schema):

• urlsOrKeywords (array)
  • Description: Enter usernames (e.g., mrbeast) or full profile URLs to target. 🎯
  • Required: Yes
  • Default: None (editor prefill: ["mrbeast"])
• maxPosts (integer)
  • Description: Limit the number of posts to scrape for each target account. (10-1000) 📊
  • Required: No
  • Default: 10
• proxyConfiguration (object)
  • Description: 🔒 This actor is pre-configured to use premium residential proxies for maximum reliability.
  • Required: No
  • Default: None (editor prefill: {"useApifyProxy": false})

Example dataset item (single post)

{
  "post_id": "3740410677015175173_2278169415",
  "short_code": "DPom7F1kWAF",
  "is_affiliate": false,
  "is_paid_partnership": true,
  "is_ad": false,
  "like_count": 182727,
  "comment_count": 3994,
  "video_view_count": 5482837,
  "video_play_count": 5482837,
  "post_date": "2025-10-10T16:02:47.000Z",
  "display_url": "https://scontent.cdninstagram.com/...",
  "alt": null,
  "caption": "Sorry Karl for pushing you into lava, but at least we rescued all the meat babies #ad #kingofmeatpartner",
  "video_duration": 62.5,
  "video_url": "https://instagram.fna.fbcdn.net/...",
  "sponsor_user": [],
  "owner": {
    "id": "2278169415",
    "username": "mrbeast",
    "is_verified": true,
    "profile_pic_url": "https://instagram.fna.fbcdn.net/...",
    "blocked_by_viewer": false,
    "restricted_by_viewer": null,
    "followed_by_viewer": false,
    "full_name": "MrBeast",
    "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": [],
  "post_type": "user_post",
  "tagged_users": [
    { "user_id": "41009287", "username": "tareqq", "full_name": "Tareq" },
    { "user_id": "187511753", "username": "karljacobs", "full_name": "Karl Jacobs" }
  ],
  "mentioned_user": null,
  "success": true
}

Note:

• The actor pushes one dataset item per successful post.
• Additionally, it stores a run-level summary in the Key‑Value Store under key OUTPUT:

{
  "metadata": {
    "total_users": 2,
    "total_posts": 50,
    "successful_users": 2,
    "failed_users": 0,
    "processing_timestamp": "2026-04-06T12:00:00.000Z"
  },
  "posts": [
    { "post_id": "...", "short_code": "...", "success": true, "post_type": "tagged" }
  ]
}

FAQ

Do I need to log in or provide cookies?

No. The actor operates without login and extracts publicly available Instagram data by fetching public profile pages at runtime.

Can it scrape both tagged and @mentioned posts?

Yes. Each record is classified as tagged, mentioned, or user_post, making it a versatile Instagram mentions scraper for monitoring both tags and @mentions.

How many posts can I collect per user?

This is controlled by maxPosts and supports 10 to 1000 posts per target account per run according to the input schema.

What data fields are included in the output?

Each dataset item includes engagement metrics, media URLs and duration, owner metadata, tagged_users, mentioned_user (if present), latest_comments (up to one), and branded content flags like is_paid_partnership and is_affiliate, plus a success flag.

Does it support proxies?

Yes. It’s pre-configured to use premium residential proxies for maximum reliability during scraping.

How do I export results to CSV or JSON?

Open the run’s dataset on Apify and choose your preferred format (JSON, CSV, Excel, or HTML). You can also fetch via the Apify Dataset API for programmatic access.

Is this a good Instagram tagged posts API alternative?

Yes. You can trigger runs via the Apify API and consume results from the Dataset and Key‑Value Store endpoints, making it a practical Instagram tagged posts data export solution for pipelines.

Is it legal to scrape Instagram mentions and tagged posts?

Yes, when done responsibly. This actor retrieves only public data and does not access private profiles. Ensure compliance with data protection laws and Instagram’s terms.

Is there a free trial?

Yes. You can test the actor on Apify using trial minutes included with the listing and platform free tier before scaling up.

Final thoughts

Instagram Tagged Mentions Posts Scraper is built for reliable, structured monitoring of tags and “@” mentions at scale. It enriches each post with engagement metrics, media details, and branded-content signals — ready for dashboards, social listening, and automation. Whether you’re a marketer tracking brand mentions, a researcher analyzing UGC, or a developer integrating an Instagram mentions analytics pipeline, you can run, export, and automate end‑to‑end with the Apify API. Start extracting smarter, ethically sourced Instagram insights today.

What are other Instagram scraping tools?

If you want to scrape specific Instagram data, you can use any of the dedicated scrapers below for faster and more targeted results.

Scraper Name	Scraper Name
Instagram Comments Scraper	Instagram Post Details Scraper
Instagram Dm Automation	Instagram Posts Scraper
Instagram Email Scraper	Instagram Profile Post Scraper
Instagram Followers Count Scraper	Instagram Profile Reels Scraper
Instagram Following Scraper	Instagram Profile Scraper
Instagram Hashtag Username Scraper	Instagram Reels Scraper
Instagram Highlights Scraper	Instagram Related Hashtag Stats Scraper
Instagram Likes Scraper	Instagram Related Person Scraper
Instagram Location Scraper	Instagram Single Reels Scraper
Instagram Mentions Scraper	Instagram Story Details Scraper
Instagram Phone Number Scraper	Instagram Tagged Posts Scraper