MCP
Scrape public Instagram data without writing code. Search profiles, pull posts, download reels, or grab hashtag feeds in seconds - all from a single natural-language prompt inside Gumloop.
Pull Hashtag Inspiration
Find New Influencers
Analyze Community Feedback
Break this into smaller, focused nodes that each handle one task:
Instantly access posts, reels, stories, comments, and profile insights from millions of public Instagram accounts and hashtags.
What is Instagram MCP?
Instagram MCP creates a custom node that speaks the Instagram scraper’s language for you. Just describe what you want - the node translates your words into the right API call, runs it, and returns clean structured data you can pass to the rest of your workflow.What Can It Do for You?
- Pull recent posts, reels, or stories from any public profile for content tracking or inspiration
- Collect comments and engagement metrics for sentiment analysis or community management
- Discover new influencers by searching profiles and hashtags with follower and bio filters
- Monitor brand mentions by downloading all posts where a user is tagged
Available Tools
| Tool | What It Does | Example Use |
|---|---|---|
| Get Profile Posts | Returns posts from a specific Instagram profile including caption, like count, comment count, media URLs, and timestamps | ”Get the latest 15 posts from @nike and return caption, like_count, comment_count, post_url” |
| Get Post Comments | Retrieves all comments on a single Instagram post with text, author details, likes, and timestamps | ”Get comments from post https://www.instagram.com/p/id and return commenter_username, text, like_count” |
| Get Hashtag Posts | Collects posts that use a given hashtag with full post metadata | ”Get 20 posts for hashtag #coffeeshop and return post_url, caption, like_count” |
| Find Users | Searches Instagram profiles by name or username and returns profile details like bio and follower count | ”Find users with name ‘fitness coach’ and return username, full_name, follower_count, bio” |
| Get Profile Details | Fetches detailed metadata for a single profile such as bio, follower count, following count, and verification status | ”Get profile details for @natgeo and return follower_count, following_count, is_verified, bio” |
| Get Profile Stories | Downloads active stories from a profile with media URLs, timestamps, and view counts | ”Get current stories from @redbull and return media_url, taken_at, view_count” |
| Get Profile Reels | Retrieves reels from a profile with captions, play counts, music info, and engagement metrics | ”Get 10 reels from @nba and return reel_url, caption, play_count, like_count” |
| Get Tagged Posts | Gathers posts where a specific user is tagged along with full post details | ”Get 25 posts where @louisvuitton is tagged and return post_url, caption, like_count” |
Credit Costs
| Tool | Credits Per Use |
|---|---|
| Get Profile Posts | 3 credits per item |
| Get Post Comments | 3 credits per item |
| Get Hashtag Posts | 3 credits per item |
| Find Users | 3 credits per item |
| Get Profile Details | 5 credits per item |
| Get Profile Stories | 3 credits per item |
| Get Profile Reels | 3 credits per item |
| Get Tagged Posts | 3 credits per item |
How to Use
1
Create Your Instagram MCP Node
Go to your node library, search for Instagram, and click “Create a node with AI”
2
Add Your Prompt
Drag the Instagram node onto the canvas and type a focused prompt like:
“Get the latest 10 posts from @apple and return caption, like_count, post_url”
“Get the latest 10 posts from @apple and return caption, like_count, post_url”
3
Test Your Node
Run the node to verify the results. Adjust the prompt or filters if needed until the output looks right.
4
Save and Reuse
Save the working Instagram node to your library so you can drop it into any future workflow.
Example Prompts
Here are some prompts that work well with Instagram MCP: Track Competitor ContentStart with a single, specific request (one tool, one objective). Once it works, chain the output to nodes like Ask AI or Google Sheets Writer for deeper analysis or storage.
Troubleshooting
If your Instagram MCP node isn’t giving the results you expect, try these best practices:Keep Prompts Simple and Specific
- Good: “Get the latest 10 posts from @teslamotors and return caption, like_count”
- Bad: “Get Tesla’s latest posts, summarize each caption, and translate to French”
While this prompt might work, it’s more efficient to break it into separate nodes. Instagram MCP works best with focused, single-action prompts.
Match What Instagram Can Do
- Good: “Get reels from @disney and return reel_url, play_count”
- Bad: “Get reels from @disney and post those URLs on a Google Sheet”
Instagram MCP focuses on Instagram data. For posting to Google Sheet, combine it with an appropriate Google Sheet node in your workflow.
Break Complex Tasks Into Steps
Instead of trying to do everything in one prompt (which might cause timeouts or errors):1
Step 1: Find Influencers
Find users with name “travel influencer” and return username, follower_count
2
Step 2: Get Posts
Given a username, get the latest 5 posts and return caption, like_count, post_url
3
Step 3: Analyze Sentiment
Pass captions to Ask AI: “Classify sentiment as positive, neutral, or negative”
4
Step 4: Save Results
Write final data to Google Sheets Writer
In your workflow, connect these nodes sequentially. The influencer usernames output from Step 1 feed into Step 2, captions from Step 2 go into Step 3, and the sentiment scores from Step 3 are saved in Step 4.
Focus on Data Retrieval
Instagram MCP is great at getting information from Instagram. For summarization or report generation, connect it to nodes like Ask AI or Google Sheets Writer. Example:- Good prompt: “Get profile details for @unicef and return follower_count, bio”
- Bad prompt: “Get profile details for @unicef and write a press-release style summary”
Use Ask AI for summaries, content creation, or analysis after you retrieve the data with Instagram MCP.
Troubleshooting Node Creation
Empty Outputs
Empty Outputs
In the node creation window, click “Request changes” and ask the AI to add debug logs and verify the API response.
Incorrect Results
Incorrect Results
In the node creation window, click “Request changes” and describe what you expected versus what you received.
Errors
Errors
First click “Fix with Gummie”. If multiple attempts fail, simplify your prompt or contact support.
Iterate with Request Changes
Iterate with Request Changes
MCP node creation often requires a few tweaks. Use “Request changes” (in the node creation window) to refine filters, output fields, or pagination.
Need More Help?
- Watch What are MCP Nodes video tutorial
- Check out MCP Best Practices in Gumloop University
- Join the Gumloop Community for support
- View the Instagram MCP setup guide for Claude and Cursor
- Contact support at support@gumloop.com