“How do the top reels in our niche open?”
The opening line and on-screen text of each reel, typed by hook and ranked by engagement rate.
Research Instagram from Claude or ChatGPT with the buzzabout MCP.
Ask Claude or ChatGPT what people on Instagram say about your product, your competitors or your category. buzzabout finds the relevant public posts and reels, transcribes the reels, reads the comments and hands back the answer with sources.
Free trial with 1,000 credits. Copy page as Markdown Open in Claude
Why do people on Instagram say they won't switch to mineral sunscreen?
buzzaboutcollect_mentionsdetect_patternsquery
I read 200 recent posts and reels on mineral sunscreen, plus their comments. The top blocker is white cast on deeper skin ("Looks fine until the flash goes off"), then pilling under makeup and price per ounce. Reels that swatch shades on camera draw the most comments. Want the top 10 reels behind each blocker?
3.5 minmedian run time to fully analyzed posts
99%of research runs complete
7platforms in one connection
$49to start, MCP included
Questions you can ask about Instagram
Ask in plain English. Get answers with sources.
“Which brands show up next to ours?”
Brands named in captions and speech or seen on logos and packaging, counted across every post.
“What do people ask under our competitors' posts?”
Questions and complaints from up to 100 comments per post, grouped into named themes.
“Which sounds are the best-performing reels in our space using?”
The sound name and author on each reel, ranked by the engagement it drew.
“Who comments on posts about our category?”
Age bands, gender, interests and countries of the commenters, in aggregate, on Pro and up.
“How does Instagram feel about our launch?”
Sentiment and emotions on every post, plus how each comment feels, with the lines that set the tone.
What your AI gets back
Every Instagram post arrives transcribed, labeled and ready to use. Fifteen MCP tools do the work.
{
"source": "instagram",
"url": "https://www.instagram.com/reel/DQx...",
"text": "5 mineral sunscreens on deep skin. Any white cast?",
"summary": "Creator tests five mineral sunscreens for white cast.",
"hooks": [
{
"type": "Curiosity / Information Gap",
"text": "Five mineral sunscreens, one hand, no filter."
}
],
"content_topics": [
{
"text": "mineral sunscreen"
},
{
"text": "deep skin tones"
}
],
"questions": [
{
"text": "Which mineral SPF works on deep skin?"
}
],
"sentiment": {
"positive": "0.62",
"neutral": "0.28",
"negative": "0.10"
},
"emotions": {
"joy": "0.40",
"surprise": "0.35",
"neutral": "0.25"
},
"tone_of_voice": {
"text": "casual",
"evidence": "no filter"
},
"narrative_structure": {
"text": "comparison",
"evidence": "Five mineral sunscreens, one hand"
},
"cta": {
"text": "comment/engage",
"evidence": "Tell me which one to test next"
},
"media": [
{
"type": "video",
"version_list": [
{
"duration_millis": 28400
}
],
"transcription": "Five mineral sunscreens, one hand, no filter.",
"on_screen_text": "WHITE CAST TEST",
"description": "Selfie video, sunscreen swatches on a hand"
}
],
"created_at": 1793232000,
"dataset_run_at": 1793664000,
"content_analyzed_at": 1793664300,
"author": {
"title": "@example.creator",
"headline": "Example Creator"
},
"num_views": 96400,
"are_views_estimated": false,
"num_likes": 5210,
"num_comments": 188,
"num_shares": 342,
"engagement_rate": "0.060",
"sound": {
"name": "original audio",
"author": "example.creator"
},
"category": "style_and_fashion",
"vibe": {
"raw_authentic": 0.7,
"playful": 0.3
},
"speech_tempo": "fast",
"music_genre": "no_music",
"language": "en"
}15 MCP tools
Research
askAsk a research question in plain English; get a cited answer.get_messageRead the research agent's answer as it lands.
Collect
collect_mentionsPreview a topic, then collect and analyze the posts.ingest_mentionSave and analyze one public post by URL.get_runFollow any run's progress, with long-polling.get_save_mention_statusTrack a saved post's analysis.
Analyze
queryAsk your data anything: counts, themes, trends, comments, audience.list_mentionsRead collected posts with all their AI fields.detect_patternsGroup posts into 2 to 15 named themes.collect_audienceProfile the people commenting, in aggregate (Pro and up).renderShow answers as interactive charts and tables.
Track and manage
list_tracking_agentsSee your scheduled topic trackers.get_tracking_agentRead one tracker and what it found.list_collectionsSee everything you have collected.get_meCheck your plan and credit balance.
Every field in a post
Transcript and on-screen text
media[].transcriptionThe spoken words in reels and videos, transcribed.media[].on_screen_textText burned into the frames, read by OCR.media[].descriptionWhat the image or video shows, described by AI.speech_tempoSlow, medium or fast delivery.
Hooks and format
hooksHook type plus the exact opening line.narrative_structureStory shape, with the quote that shows it.ctaThe call to action, with evidence.content_intentionInform, entertain, sell or engage.creative_formatOn request: one of 22 formats, such as talking head, unboxing or before/after.vibeTwelve mood scores, from raw and authentic to corporate.music_genreGenre of the background track, from 16 genres.
Topics and questions
summaryA short summary of the post.content_topicsThe topics it covers.questionsQuestions asked in the post.mentioned_brandsBrands named in the caption or speech, or seen on logos and packaging.entitiesPeople, places, events and organizations named; brands are inmentioned_brands.
Sentiment and tone
sentimentPositive, neutral and negative shares.sentiment_scoreOne number from negative to positive.emotionsJoy, surprise, anger, sadness, fear, disgust, neutral.tone_of_voiceTone label with the line that sets it.
Engagement
num_viewsReal plays on reels and videos. Estimated on images and carousels.are_views_estimatedtruewhen the view count is an estimate.num_likesLikes.num_commentsComment count.num_sharesReshares.engagement_rate(likes + comments + shares) / views, computed for you.
Comments
comments[].bodyThe comment text.comments[].author_usernameWho wrote it.comments[].num_likesLikes on the comment.comments[].created_atWhen it was posted.comments[].sentimentHow each comment feels, scored (viaquery).
Read comments through MCP query or buzzabout__ask. They are not in list_mentions or the REST response yet.
Also in every record: url, text, author.title, author.headline, author.avatar, media[].version_list, media[].version_list[].duration_millis, media[].cover_image, sound, created_at, dataset_run_at, content_analyzed_at.
How it compares
Other data providers give you raw posts. buzzabout gives you answers.
| Capability | buzzabout | Other data providers |
|---|---|---|
| What you get back | YesPosts already read, labeled and grouped into themes | NoRaw posts |
| Works in Claude, ChatGPT and other AI agents | YesOne MCP connection, every plan | YesRaw-data MCP servers |
| All 7 platforms in one request | YesOne question covers all 7 | PartlyOne scraper per platform |
| Off-topic posts filtered, never billed | YesAI check on every post | NoYou pay for every record returned |
| Transcripts and on-screen text | YesEvery video, included | PartlyPaid add-ons on some tools |
| Hooks, topics, sentiment and tone | YesOn every post | NoBring your own AI |
| Comments with every post | YesUp to 100 per post, included | PartlySeparate scraper, billed per comment |
| Themes across many posts | Yes2 to 15 named themes per question | NoNone |
| Price | Starting at $49, everything included | From about $472 a month for the full stack |
Everything included, starting at $49
Bought separately, the same stack costs about $472 a month, before anyone builds anything.
Bought separately$472a month
buzzabout$49Starter, first month
What buzzabout includes
- DataPosts, comments and transcripts from 7 platforms
- ProcessingHooks, pains, formats and sentiment on every post
- Research toolsThemes, audiences, trends and briefs
- StorageEvery collection kept and shareable by link
- WorkflowsListening agents that run on a schedule
- MemoryYour past research, ready for the next question
- IntegrationsClaude, ChatGPT, Slack alerts and the API
Two ways to use it
MCP on every plan. REST API on Business.
In Claude or ChatGPT
Add buzzabout as a connector and ask in plain English. That's it.
- Start your free trial.
- In Claude or ChatGPT, add a custom connector with
https://mcp.buzzabout.ai/mcpand sign in. - Ask about Instagram.
In Claude Code or your own agent
Install the MCP server and let Claude Code build on it: digests, dashboards, alerts.
- Run
claude mcp add --transport http buzzabout https://mcp.buzzabout.ai/mcp. - Tell Claude Code what to build, for example a weekly digest of Instagram posts about your competitors.
- Schedule it with tracking agents and webhooks. The REST API is there on Business.
1. In Claude, add a custom connector.
2. URL: https://mcp.buzzabout.ai/mcp
3. Sign in, then ask:
"What do people on Instagram say about
mineral sunscreen without a white cast?"1. In ChatGPT, add a custom connector (MCP server).
2. URL: https://mcp.buzzabout.ai/mcp
3. Sign in, then ask:
"What do people on Instagram say about
mineral sunscreen without a white cast?"claude mcp add --transport http buzzabout https://mcp.buzzabout.ai/mcp
# then, in Claude Code:
> Build a weekly digest of Instagram posts about
mineral sunscreen without a white cast, with the top hooks, questions
and sentiment, posted to our Slack webhook.{
"mcpServers": {
"buzzabout": {
"url": "https://mcp.buzzabout.ai/mcp"
}
}
}curl -X POST https://api.buzzabout.ai/v1/ask \
-H "x-api-key: $BUZZABOUT_API_KEY" \
-H "Content-Type: application/json" \
-d '{"message": "What do people on Instagram say about mineral sunscreen without a white cast?"}'Pricing
Every plan includes the MCP and the full analysis.
Starter
$49first month, then $98/mo
2,000 credits a month. Up to 250 posts per research.
Try for freePro
$178/month
5,000 credits a month. Audience research. Up to 1,000 posts per research.
Try for freeBusiness
$450/month
20,000 credits a month. REST API. Unlimited listening agents.
Try for freeFree trial with 1,000 credits. A card is needed to sign up. See pricing.
Questions
Can I get public Instagram posts through the official API?
No. Meta shut down the Basic Display API in December 2024, and the Graph API covers only the Business and Creator accounts you manage, plus a limited hashtag search. buzzabout searches public Instagram posts and reels on any topic and hands each one to Claude already analyzed. Try it free.
What is the best Instagram MCP for research?
buzzabout. Connect it to Claude or ChatGPT and public Instagram posts and reels come back transcribed, read and labeled, with the sound, comments and 17 analysis actions, through one connection that covers six other platforms. A typical run is ready in 3.5 minutes, 99% of runs complete, and you pay only for posts you keep.
Can I get Instagram reel transcripts through an API?
Yes. buzzabout transcribes the speech in reels and videos word for word, in the language it was spoken, reads the text on screen, and hands both to Claude with the post at no extra cost. Ask what the top reels in your niche actually say, without pressing play.
Can I get Instagram comments through an API?
Yes. buzzabout collects up to 100 top-level comments per post at no extra cost, with likes, timestamps and sentiment. Ask Claude or ChatGPT about them in plain English, or query them through the MCP.
Why not just use a scraper or another data provider for Instagram?
A scraper hands you raw Instagram records and stops. Transcription, on-screen text, relevance filtering, labeling and storage are separate tools you buy, connect and maintain. Add themes, scheduled runs, memory and integrations and the full stack starts at about $472 a month, before anyone builds anything. buzzabout includes all of it, starting at $49, through one connection your agent already speaks. Some data providers cannot even search Instagram by keyword; they need post or profile URLs first.
How much does buzzabout cost for Instagram research?
Starting at $49 for your first month on Starter, then $98 a month. Each post you keep costs one credit, with the analysis included. See pricing.
Does it work in ChatGPT?
Yes. Add buzzabout as a custom connector in ChatGPT with https://mcp.buzzabout.ai/mcp and sign in. Custom connectors depend on your ChatGPT plan.
Do I pay for off-topic or duplicate Instagram posts?
No. You pay only for the posts you keep.
Do I need to code?
No. Add buzzabout to Claude or ChatGPT and ask in plain English. Growth engineers can use the same MCP in Claude Code or Cursor.
How do I start?
Start a free trial with 1,000 credits, add buzzabout to Claude or ChatGPT and ask your first question.
Try it on your own topic
Free trial. Works in Claude and ChatGPT.
Free trial with 1,000 credits · MCP on every plan