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Instagram Tagged Mentions Posts Scraper

Pricing

$19.99/month + usage

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Instagram Tagged Mentions Posts Scraper

Instagram Tagged Mentions Posts Scraper

Scrape Instagram tagged mentions and posts with this powerful Instagram Tagged Mentions Posts Scraper 📸 Extract usernames, captions, tags, post URLs, and engagement metrics with ease 📊 Ideal for brand monitoring, influencer tracking, and campaign analysis 🔍🚀

Pricing

$19.99/month + usage

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ScraperForge

ScraperForge

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8 days ago

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Instagram Tagged Mentions Posts Scraper

Instagram Tagged Mentions Posts Scraper is an Apify actor that finds and extracts Instagram posts where specified accounts are tagged or mentioned. It solves the challenge of tracking brand and creator visibility by detecting tagged posts and caption mentions, then returning structured post data with engagement metrics, media URLs, owner details, and top comments. Built for marketers, developers, data analysts, and researchers, it streams post records to the dataset in real time and produces a consolidated JSON summary for automation and reporting at scale. 🚀

What data / output can you get?

Below are the primary fields this actor extracts and pushes to the Apify dataset (one record per post). All field names match the dataset items exactly.

Data typeDescriptionExample value
post_idUnique post identifier"3740410677015175173_2278169415"
short_codeInstagram shortcode for the post"DPom7F1kWAF"
post_typeClassification of result: user_post, tagged, or mentioned"tagged"
like_countTotal likes on the post182727
comment_countTotal comments on the post3994
video_view_countTotal views for video content (or derived from play count)5482837
video_play_countVideo play count if available5482837
post_dateISO timestamp of publication"2025-10-10T16:02:47.000Z"
display_urlPrimary media URL (image or first carousel image)"https://scontent.cdninstagram.com/...n.jpg"
captionFull post caption text"Sorry Karl for pushing you into lava... #ad"
video_durationVideo length in seconds62.5
video_urlDirect video URL if applicable"https://instagram.fna.fbcdn.net/...mp4"
altAccessibility caption (if available)null
is_affiliateAffiliate flag (if present in source)false
is_paid_partnershipPaid partnership flagtrue
sponsor_userArray of sponsor/partner accounts (if detected)[]
tagged_usersArray of tagged users with IDs, usernames, names[{"user_id":"1902301128","username":"chandlerhallow","full_name":"Chandler Hallow"}]
mentioned_userTarget username if mentioned in caption"mrbeast"
latest_commentsUp to 1 top comment with owner and like info[{"id":"...","text":"Great post!","owner":{"id":"...","username":"..."},"edge_liked_by":{"count":12}}]
ownerPost owner object with id, username, verification, counts{"id":"2278169415","username":"mrbeast",...}
successProcessing flag per posttrue

Bonus outputs:

  • The actor also saves a consolidated summary object (metadata + posts) to the Key‑Value Store under the key OUTPUT.
  • Download results in JSON, CSV, or Excel directly from the Apify dataset UI.

Key features

  • ✨ Comprehensive post mapping
    Extracts captions, engagement metrics (likes, comments, views, plays), media URLs, video duration, tagged users, mention detection, paid/affiliate/ad flags, owner metadata, and a top comment per post.

  • 🏷️ Tagged & mentioned detection
    Classifies each record as user_post, tagged, or mentioned. It also explores related accounts to surface additional posts that tag or mention your primary target for broader coverage.

  • 📡 Real‑time streaming + final summary
    Streams each post to the dataset with Actor.pushData and produces a consolidated OUTPUT JSON (metadata + posts) in the Key‑Value Store for straightforward API consumption.

  • 🛡️ Proxy‑backed reliability
    Pre‑configured to use premium residential proxies for stability and success on public Instagram endpoints.

  • 📈 Scalable limits per user
    Control results with maxPosts (10–1000 per user). Pagination and retry logic are built in for robustness.

  • 🔌 Integration‑ready
    Access your data via Apify API, and export datasets as JSON, CSV, or Excel. Ideal for pipelines, dashboards, and analytics workflows.

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. ✏️ Provide input

    • urlsOrKeywords: Add Instagram usernames (e.g., mrbeast), @handles, or full profile URLs.
    • maxPosts: Set how many posts to collect per target (10–1000).
    • proxyConfiguration: Leave as is or customize if needed.
  4. ⚙️ Review settings
    The actor is pre‑configured for premium residential proxies. Adjust maxPosts to control volume per user.

  5. 🚀 Run the actor
    Click Save & Start. The run logs progress and streams posts to the dataset in real time.

  6. 📊 Monitor progress
    In the run console, you’ll see collected shortcodes, likes, and post types (user_post, tagged, mentioned).

  7. 💾 Download results

    • Dataset: Each post is an individual record (export as JSON/CSV/Excel).
    • Key‑Value Store: Get the OUTPUT JSON for a metadata summary plus an array of all posts.

Pro tip: Automate scheduled monitoring via the Apify API and Scheduler to keep a rolling feed of new tagged and mentioned posts for your tracked accounts.

Use cases

Use case nameDescription
Brand monitoring & reputationTrack public posts that tag or mention your brand. Quantify engagement and spot trends across user-generated content.
Influencer & collaboration trackingIdentify collaborations and partner tags to map creator activity and campaign performance.
Campaign reportingAggregate tagged/mentioned posts for post‑campaign wrap‑ups with likes, comments, views, and media links.
Social listening & sentiment researchExport captions and top comments for NLP or sentiment analysis pipelines.
Competitive intelligenceMonitor how competitors are tagged or mentioned and benchmark engagement.
Data enrichment & analyticsPipe structured post records into BI tools via Apify API for dashboards and time‑series analysis.
Academic & market researchBuild ethically sourced datasets of public Instagram content for studies and trend analysis.

Why choose Instagram Tagged Mentions Posts Scraper?

This actor focuses on precision, automation, and reliability for tracking tagged and mentioned Instagram content at scale.

  • 🎯 Accurate tagged/mentioned detection across networks for broader coverage.
  • ⚙️ Developer‑friendly outputs with per‑post dataset items and a consolidated OUTPUT JSON.
  • 🚀 Scales per user with maxPosts controls and paginated collection.
  • 🔒 Proxy‑backed and designed for public data collection on Instagram endpoints.
  • 🔄 Easy exports (JSON/CSV/Excel) and Apify API access for downstream automation.
  • 🧱 More reliable than fragile browser extensions or manual copy‑paste methods.

In short, it’s a production‑ready Instagram tagged/mentioned post scraper that delivers structured, analysis‑ready data without the instability of ad‑hoc tools.

✅ Yes, when used responsibly.

This actor targets publicly available Instagram posts and does not access private profiles. You should:

  • Collect only public data.
  • Avoid scraping private profiles or personal/sensitive data.
  • Respect data protection regulations (e.g., GDPR, CCPA).
  • Use results for research, analytics, or reporting — not for spam or abuse.
  • Consult your legal team for edge cases and ensure compliance with platform terms.

Input parameters & output format

JSON input example

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

Input parameters (from schema):

  • 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 (minimum: 10, maximum: 1000).
  • proxyConfiguration (object, optional)
    Description: This actor is pre-configured to use premium residential proxies for maximum reliability.
    Default prefill: {"useApifyProxy": false}

Notes:

  • The actor streams each post to the dataset as an individual item.
  • A consolidated summary object is saved to the Key‑Value Store as OUTPUT.

OUTPUT (Key‑Value Store) JSON example

{
"metadata": {
"total_users": 2,
"total_posts": 3,
"successful_users": 2,
"failed_users": 0,
"processing_timestamp": "2026-04-15T12:34:56.000000"
},
"posts": [
{
"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/...n.jpg",
"alt": null,
"caption": "Sorry Karl for pushing you into lava, but at least we rescued all the meat babies #ad",
"video_duration": 62.5,
"video_url": "https://instagram.fna.fbcdn.net/...mp4",
"sponsor_user": [],
"owner": {
"id": "2278169415",
"username": "mrbeast",
"is_verified": true,
"profile_pic_url": "https://instagram.fna.fbcdn.net/...jpg",
"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": "187511753",
"username": "karljacobs",
"full_name": "Karl Jacobs"
}
],
"mentioned_user": null,
"success": true
}
]
}

Dataset items:

  • Each dataset record is a single post object identical to items under posts in the example above.
  • Fields may be null or empty when not present in the source (e.g., alt, video_url, sponsor_user).

FAQ

Is there a free trial?

Yes. This actor includes a trial period (120 minutes) on the Apify platform so you can evaluate performance before subscribing.

What types of inputs are supported?

You can provide Instagram usernames, @handles, or full profile URLs via the urlsOrKeywords array. The actor normalizes these into usernames automatically.

How many posts can I scrape per user?

You control this with maxPosts. Set a value from 10 to 1000 per target account to manage volume and runtime.

Where do results appear?

Each post is pushed to the dataset in real time for easy export (JSON/CSV/Excel). A consolidated summary with metadata and all posts is saved to the Key‑Value Store under the key OUTPUT.

Does this require login or cookies?

No. The actor accesses public endpoints and is pre‑configured with premium residential proxies for reliability. It does not require login.

What data points are included?

You get post engagement (likes, comments, views), captions, media URLs, video duration, tagged users, mention detection, owner metadata, a top comment, and partner/paid flags when available. See the data table above for exact fields.

Can I detect paid partnerships or sponsors?

Yes. Fields like is_paid_partnership and sponsor_user are included when present in the source data.

Is this compliant with Instagram’s policies?

The actor is designed to collect only publicly available data. Always ensure your usage complies with Instagram’s terms and applicable regulations (e.g., GDPR, CCPA).

Final thoughts

Instagram Tagged Mentions Posts Scraper is built to capture and structure the Instagram posts that matter most to your brand or research—tagged and mentioned content with full context. With proxy-backed reliability, per-post dataset records, and a consolidated OUTPUT JSON, it’s ideal for marketers, analysts, and developers who need dependable social data pipelines. Integrate via the Apify API, schedule automated runs, and start making smarter, data-driven decisions from public Instagram content today. 🌟