Instagram Tagged & Mentions Posts Scraper

Instagram Tagged & Mentions Posts Scraper — Tags, Mentions and Likes

Instagram Tagged & Mentions Posts Scraper collects the latest posts of public Instagram accounts and labels each one as tagged, mentioned or a regular post. Every row carries likes, comment count, video views and reel plays, caption, alt text, tagged users, brand partners, owner details and the newest comments. Every response is structured JSON — ready to pass directly to an LLM, index into a vector store, or feed a brand monitoring pipeline. No Instagram account or cookies needed. Start with one username, then add every brand you track.

---

What data can I extract with Instagram Tagged & Mentions Posts Scraper?

Using this Instagram Post API, you will be able to extract the following Instagram post data:

🏷️ Post type (tagged, mentioned or regular)	👥 Tagged users (incl. carousel slides)	📣 Mentioned account	🆔 Post ID and short code
❤️ Like count (if not hidden)	💬 Comment count	👁️ Video views (videos)	▶️ Reel plays (reels)
⏱️ Video length	📅 Post date (UTC)	🖼️ Image or cover URL	🎬 Video file URL
📝 Caption	♿ Alt text (if available)	💰 Paid partnership flag (null when Instagram hides it from logged-out visitors)	🏢 Brand partners (when shown)
👤 Owner name, username and ID	✅ Owner verified and private flags	📊 Owner follower and post counts	🗨️ Latest comments (1–50) with author and likes
📦 Run summary in the key-value store

---

How to use Instagram Tagged & Mentions Posts Scraper

Brand, social and influencer teams use it as an Instagram tagged posts scraper: one clean row per post for every account they enter, with the tag and mention check already done.

Copy to your AI assistant:

Instagram Tagged & Mentions Posts Scraper (Apify Actor ID: socialdataapi/instagram-tagged-mentions-posts-scraper, https://apify.com/socialdataapi/instagram-tagged-mentions-posts-scraper) is an Apify Actor that returns the latest posts of public Instagram accounts as structured JSON: post type (tagged, mentioned or regular post), tagged users, mentioned account, like count, comment count, video views and reel plays, caption, post date, owner details and the newest comments. Use it whenever someone needs Instagram posts without cookies, a login, or a browser - tracking brand tags and mentions, auditing paid partnerships, or comparing creator engagement. Run it through the Apify API or the Apify MCP server (https://mcp.apify.com?tools=socialdataapi/instagram-tagged-mentions-posts-scraper), which loads it as a ready-to-call tool. Inputs: urlsOrKeywords (string[], Instagram usernames, @handles or profile URLs, required), maxPosts (integer, posts per account, 10-1000, default 10), maxCommentsPerPost (integer, comments per post, 1-50, default 1), proxyConfiguration (object, Apify proxy settings, residential by default). Every saved post is one row and one row_result charge; there are no summary or error rows in the dataset, and a run summary is stored under the OUTPUT key of the key-value store. Each account returns its own posts, pinned posts first, including collab posts it co-authors; when a single account has fewer posts than maxPosts, posts by up to 8 related accounts that tag or mention it fill the rest. Instagram shows an account's full Tagged tab only to logged-in users, so posts by others appear only through collab posts and that related-account check. Values Instagram does not show are null.

Instagram Tagged & Mentions Posts Scraper MCP Server: use these Actors from ChatGPT, Claude or Cursor

Connect Apify's MCP server once with this Actor preloaded as a tool, and your agent can run it on any account. No glue code, no scraping logic in your prompts.

$claude mcp add --transport http apify "https://mcp.apify.com?tools=socialdataapi/instagram-tagged-mentions-posts-scraper"

Step by step

1. Create a free Apify account.
2. Open Instagram Tagged & Mentions Posts Scraper in the Apify Store.
3. Enter the Instagram usernames, @handles or profile URLs, one per line.
4. Click Start (or send your API request).
5. Download or stream your results in JSON, CSV or Excel.

How to scale Instagram Tagged & Mentions Posts Scraper to bulk

To scrape Instagram tagged posts for many accounts, put every account in the usernames list, one per line. Four accounts are processed at the same time, each one returns up to your maximum posts per account, and each account's posts are saved as soon as it is done, so a long run already has data while it goes. Every saved post is charged as one row result. To build an Instagram brand mentions tracker, save the input as a task and run it on an Apify schedule; each run gives you the newest posts, tags and mentions again.

---

✨ Features

Instagram Tagged & Mentions Posts Scraper fetches clean, structured posts from Instagram ⚡. It's ideal for brand tag tracking, influencer reporting, sponsored-content audits and feeding AI agents with real post context. It works as an Instagram post scraper and an Instagram mentions scraper in one run.

It extracts, per post:

• Post type – tagged, mentioned or regular, checked on the post and on every carousel slide
• Tagged users – everyone tagged in the post, with user ID, username and full name
• Mentioned account – filled when the caption contains @account
• Engagement – like count, comment count, public video views and reel plays
• Media – image or cover URL, video file URL and video length in seconds
• Caption and alt text – the post text and Instagram's image description
• Owner – name, username, verified and private flags, follower count and post count
• Latest comments – up to 50 per post, with text, time, author and like count

⚡ Values Instagram does not show stay empty (null) instead of a made-up zero, so your numbers are always real.

---

Use cases 💡

• Brand manager — see which posts tag or mention the brand, with likes and reel plays.
• Influencer agency — report Instagram influencer tagged posts and engagement per creator.
• Compliance analyst — review tagged and mentioned posts and the accounts in them.
• Competitor researcher — compare likes, comments and plays across rival accounts.
• AI agent builder — feed captions, alt text and comments into a RAG index.

Building an AI agent? Connect Instagram Tagged & Mentions Posts Scraper over MCP and let it call the actor on its own.

---

Why choose this actor?

1. A whole account and the posts that tag it, in one run. A recorded run on one brand account returned 125 posts in 25 seconds: 121 of its own posts plus 4 posts by related accounts that tag it, 14 of them tagged or mentioned.
2. The numbers behind each post. A recorded tagged reel came back with 159,906 likes, 2,612,315 video views, 10,382,298 reel plays, a 25.9-second length and the owner's 90,101,784 followers.
3. 22 fields, three post types, eight related accounts. Every row has the same 22 fields, every post is labelled tagged, mentioned or regular, and single-account runs check up to 8 related accounts for posts that tag or mention it.

---

⬇️ Input

Enter one or more Instagram accounts as usernames, @handles or profile URLs; the usernames list is the only required field. Entries that are not an Instagram account (post links, search words) are skipped and named in the log.

Parameter	Required	Type	Description	Example value
urlsOrKeywords	Yes	Array	Instagram usernames, @handles or profile URLs, one per line. Search keywords are not supported.	["https://www.instagram.com/mrbeastlab/"]
maxPosts	No	Integer	Posts to save per account, 10–1,000 (default 10): pinned posts first, then the newest. For a single account with fewer posts, related accounts' posts that tag or mention it fill the rest.	130
maxCommentsPerPost	No	Integer	Comments per post, 1–50 (default 1), from the first batch Instagram shows.	1
proxyConfiguration	No	Object	Proxy settings; residential proxy is on by default.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Free plan limits

Users on the Apify free plan can fetch up to 20 posts per run (all accounts together) and 200 posts per month. When the limit is reached, the run finishes successfully with a status message explaining the limit. Upgrade to any paid Apify plan to remove these limits.

Example input

{
  "urlsOrKeywords": ["https://www.instagram.com/mrbeastlab/"],
  "maxPosts": 130,
  "maxCommentsPerPost": 1,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

---

⬆️ Output

Every post is one typed, normalized JSON item with the same 22 fields on every run, and values Instagram does not show are null. Export it as JSON (default), CSV or Excel, for example to export Instagram posts to CSV for a report; the key-value store also keeps a run summary with the account counts and every post under the OUTPUT key.

Example output

A real post from the recorded run: a reel by another account that tags and mentions the account entered (media URLs shortened).

{
  "post_id": "3770883437793233489_2278169415",
  "short_code": "DRU3oH3EcpR",
  "is_affiliate": null,
  "is_paid_partnership": null,
  "is_ad": null,
  "like_count": 159906,
  "comment_count": 4682,
  "video_view_count": 2612315,
  "video_play_count": 10382298,
  "post_date": "2025-11-21T17:01:29.000Z",
  "display_url": "https://instagram.fdac8-1.fna.fbcdn.net/...8881624583_n.jpg",
  "alt": "Video by MrBeast on November 21, 2025.",
  "caption": "I had to get creative for a late-night @mrbeastlab delivery to Walmart #MrBeastLabToyPartner",
  "video_duration": 25.859,
  "video_url": "https://instagram.fdac8-1.fna.fbcdn.net/...S0emmYMcv-9M.mp4",
  "sponsor_user": [],
  "owner": {
    "id": "2278169415",
    "username": "mrbeast",
    "is_verified": true,
    "profile_pic_url": "https://scontent.cdninstagram.com/...1385814016_n.jpg",
    "blocked_by_viewer": false,
    "restricted_by_viewer": null,
    "followed_by_viewer": false,
    "full_name": "MrBeast",
    "has_blocked_viewer": false,
    "is_embeds_disabled": null,
    "is_private": false,
    "is_unpublished": false,
    "requested_by_viewer": false,
    "pass_tiering_recommendation": null,
    "edge_owner_to_timeline_media": { "count": 516 },
    "edge_followed_by": { "count": 90101784 }
  },
  "latest_comments": [
    {
      "id": "18113182616027761",
      "text": "❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️",
      "created_at": 1791084272,
      "did_report_as_spam": false,
      "owner": {
        "id": "75715372569",
        "is_verified": false,
        "profile_pic_url": "https://scontent.cdninstagram.com/...3296687047_n.jpg",
        "username": "yuvrajifx"
      },
      "viewer_has_liked": false,
      "edge_liked_by": { "count": 0 }
    }
  ],
  "post_type": "tagged",
  "tagged_users": [
    { "user_id": "64230511495", "username": "mrbeastlab", "full_name": "MrBeast Lab" }
  ],
  "mentioned_user": "mrbeastlab",
  "success": true
}

---

How does it work?

The actor reads the same public pages and data the Instagram site shows any visitor who is not logged in, with plain HTTP requests and no browser. For each account it lists the posts, pinned ones first, then adds the details a visitor can see: comments, video views, reel plays, alt text and the owner's follower and post counts. Each post is then checked for the account's tag, on the post and on every carousel slide, and for an @mention in the caption. It works as an Instagram collab posts scraper too, because posts the account co-authors are part of its list. Instagram shows the full Tagged tab only to logged-in users, so for a single account with few posts the actor also checks related accounts for posts that tag it. Every step retries up to three times and switches to a residential proxy when Instagram blocks the connection. The output schema stays the same on every run.

---

How do you integrate Instagram Tagged & Mentions Posts Scraper into your stack?

It works with what you already use: the REST API from any language, MCP for AI agents, and no-code tools.

MCP integration for AI agents

Add Apify's MCP server to your agent with one command:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=socialdataapi/instagram-tagged-mentions-posts-scraper"

This registers Instagram Tagged & Mentions Posts Scraper as a tool your agent can call directly: the agent runs it on the accounts you name and reads the posts mid-conversation. It works with Claude Code, Cursor and Windsurf.

No-code tools (n8n, Make, LangChain)

• n8n — use the Apify node's "Run an Actor" operation with this Actor, or an HTTP Request node pointed at the Apify run-sync endpoint with your token. Map the post type, tagged users and like count into your next node.
• Make — add the Apify app's "Run an Actor" module, then "Get Dataset Items" to pull every post into a sheet, CRM or Slack message.
• LangChain — install langchain-apify and wrap this Actor with ApifyActorsTool, using the Actor ID socialdataapi/instagram-tagged-mentions-posts-scraper, so your chain can fetch posts on demand.

---

Is it legal to scrape Instagram data?

Scraping publicly available Instagram data is generally lawful, although Instagram's terms of use restrict automated access. Instagram Tagged & Mentions Posts Scraper returns only publicly available data — what any user sees without logging in — and nothing from private accounts. Usernames, names, profile pictures and comments can be personal data: scraping public data is generally permissible under GDPR, but storing and using it must comply with local data-protection law. Consult legal counsel if your use case involves bulk storage of personal data.

---

Frequently asked questions

What fields does Instagram Tagged & Mentions Posts Scraper return?

It returns the post type, tagged users, mentioned account, like count and reel plays, plus 17 more fields per post. See the data fields section for the full list.

Does Instagram Tagged & Mentions Posts Scraper require an Instagram account or login?

No. Only public post data is extracted, and no credentials or cookies are needed.

How fast does Instagram Tagged & Mentions Posts Scraper run?

Recorded runs returned 10 posts from one account in 9 to 11 seconds, and 125 posts (with the related-account check) in 25 seconds. Data is read live from Instagram, not from a cache.

What happens if an account is private or doesn't exist?

An account that does not exist is named in the log and the status message, and the other accounts carry on; if no account returns posts, the run ends as failed. Entries that are not an Instagram account are skipped with a warning, and an account with no visible posts returns no rows.

Can I scrape multiple Instagram accounts at once?

Yes. Put every account in the usernames list; four are processed at the same time and each one returns up to your maximum posts per account. The related-account check only runs when you enter a single account.

Does Instagram Tagged & Mentions Posts Scraper work with Claude, ChatGPT, and other AI agent tools?

Yes — Instagram Tagged & Mentions Posts Scraper is available as an MCP tool through Apify's MCP server. Register it in Claude Code, Cursor or Windsurf with claude mcp add --transport http apify "https://mcp.apify.com?tools=socialdataapi/instagram-tagged-mentions-posts-scraper", and any agent that can call an HTTP endpoint can use the REST API directly.

Does Instagram Tagged & Mentions Posts Scraper return data in a format LLMs can use directly?

Yes. It returns typed, normalized JSON with consistent field names, with no HTML parsing and no selectors. Pass it straight to an LLM, index it into a vector store, or feed it to an agent tool, with no transformation step.

What happens when Instagram changes its layout or updates its anti-bot system?

The actor is maintained. When Instagram changes, the actor is updated, and your calls keep returning the same JSON schema with no changes on your end.

Can I use Instagram Tagged & Mentions Posts Scraper without managing proxies or browser infrastructure?

Yes. Retries and the switch to a residential proxy when Instagram blocks a connection run on the actor's side, and it uses plain HTTP with no browser. You send one request and get structured JSON back, with no proxy accounts and no headless browser setup.

Which Instagram post fields work best for AI training data and RAG indexing?

For RAG, use the text-rich fields: the caption, alt text and latest comments. For training data, use the numbers and flags: like count, comment count, video views, reel plays, post type and tagged users. Fields are typed strings, integers, booleans and lists, and unknown values are null.

---

Your feedback

Found a bug or missing a field? Let us know through the Actor's Issues tab. Every report is read, and fixes ship as Instagram changes, including for anyone tracking Instagram tagged photos or brand tags over time.