Instagram Haters Detector
Pricing
from $3.00 / 1,000 results
Instagram Haters Detector
Scrapes comments from an Instagram post and uses AI to detect negative sentiment, threats, defamation, and legal risks.
Pricing
from $3.00 / 1,000 results
Rating
0.0
(0)
Developer

Lofomachines
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
7 days ago
Last modified
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Automatically scan Instagram comments and detect haters, threats, harassment, and hate speech using AI — no coding required.
Paste any Instagram post or Reel URL. Get back a clean report of every comment, classified by sentiment and type in seconds.
Stop Reading Hate Comments One by One
Whether you're a brand, an influencer, a public figure, or a business — your Instagram comments section can turn into a battlefield overnight. Manually reviewing hundreds or thousands of comments to find the dangerous ones is slow, draining, and easy to miss.
This Actor automates the entire process:
- ✅ Scrapes comments from any post or Reel
- ✅ Reads and understands every comment — in any language
- ✅ Classifies each one by sentiment and content type
- ✅ Exports a clean, structured dataset ready to filter, sort, and act on
Who Is This For?
🎤 Influencers & Content Creators
Your audience is growing — and so are the haters. Scan your latest Reel or viral post to identify accounts sending threats, insults, or harassment. Block and report in bulk, not one by one.
🏢 Brands & Marketing Teams
Monitor the comment section of product launches, campaigns, and announcements. Spot negative sentiment spikes, defamatory claims, and coordinated attacks before they damage your image.
⚖️ Lawyers & Legal Teams
Need to document online harassment or defamation for legal proceedings? This tool generates a timestamped, structured dataset of comments classified by type — organized evidence ready for review.
📣 PR & Communications Agencies
Manage social media reputation for multiple clients. Run bulk comment audits to assess audience sentiment, detect crisis signals early, and deliver structured reports.
🏫 Schools, Institutions & Public Figures
Politicians, academics, journalists, and public institutions increasingly face coordinated online abuse. Scan comment sections to measure exposure and document incidents.
What It Detects
Every comment is automatically classified into one of these categories:
| Class | What it means |
|---|---|
threat | Someone expressing intent to cause harm |
defamation | False claims presented as facts to damage reputation |
hate_speech | Slurs or attacks based on race, religion, gender, identity |
harassment | Targeted, repeated intimidation or bullying |
insult | Offensive remarks, swearing, name-calling |
criticism | Negative feedback on actions, products, or content |
disappointment | Sadness, regret, or unmet expectations |
trolling | Provoking or mocking to bait a reaction |
praise | Compliments and expressions of admiration |
endorsement | Recommendations or favorable tagging |
inquiry | Questions, requests for help or information |
suggestion | Ideas or improvement proposals |
humor/meme | Jokes, sarcasm, irony, viral references |
spam | Automated, irrelevant, or promotional messages |
scam/phishing | Malicious links, fake offers, attempts to steal info |
other | Anything that doesn't fit the above |
Each comment also gets a sentiment label: positive, negative, or neutral.
How to Use It
Step 1 — Open the Actor and enter your Instagram post or Reel URL.
Step 2 — Set how many comments you want to analyze (up to 1,000).
Step 3 — Hit Run. The Actor will start processing comments immediately.
Step 4 — When it's done, open the Dataset tab to view, filter, and export your results.
That's it. No technical knowledge required.
Example Output
Each row in the results contains the original comment plus the AI classification:
{"message": "I hope your business burns to the ground","user": { "username": "angry_user_99" },"createdAt": "2024-12-14T21:52:02.000Z","sentiment": "negative","class": "threat"}
You can filter the dataset by class or sentiment to instantly isolate the comments that matter most.
Use Cases in Detail
Detect Instagram Haters on Your Posts
Run the Actor on any post where you've noticed hostility. Filter results by class: insult, class: harassment, or class: trolling to get a clean list of accounts engaging in abusive behavior.
Find Defamatory Comments for Legal Evidence
Filter for class: defamation to identify comments containing false statements about you or your brand. The output includes the username, exact text, and timestamp — structured for legal documentation.
Identify Threats on Instagram
Filter for class: threat to surface comments expressing intent to harm. These can be reported directly to Instagram or escalated to law enforcement with the exported dataset as evidence.
Analyze Audience Sentiment After a Campaign
Use the sentiment field to get an overall picture of how your audience reacted to a post. Segment by positive, negative, and neutral to calculate your sentiment ratio instantly.
Monitor for Hate Speech and Coordinated Attacks
Filter by class: hate_speech or class: harassment to detect coordinated abuse campaigns targeting you or your community. Identify patterns across accounts quickly.
Scan Comments in Any Language
The AI reads and classifies comments in any language — Turkish, Arabic, Spanish, Italian, Portuguese, French, German, and more. No setup needed.
Input Options
| Field | Required | Default | Description |
|---|---|---|---|
| Instagram URL | ✅ Yes | — | Any post (/p/) or Reel (/reel/) URL |
| Max Comments | No | 50 | How many comments to analyze (max 1,000) |
Frequently Asked Questions
Do I need a technical background to use this? No. Just paste a URL and click Run. The results appear in a table you can filter and export.
Does it work on Reels? Yes. Both standard posts and Reels are fully supported.
Does it understand comments in other languages? Yes. The AI automatically handles comments in any language — it reads and classifies them without any extra configuration.
How fast is it? Comments are analyzed in real time as they are collected. A run of 100 comments typically completes in under two minutes.
Can I export the results? Yes. The full dataset can be downloaded as CSV, JSON, or Excel directly from the results tab.
Is this useful for building a legal case against someone? The structured output — including username, comment text, timestamp, and AI classification — can serve as organized documentation for a lawyer. Always consult a legal professional for advice specific to your situation.
What's the maximum number of comments I can analyze? Up to 1,000 per run. For larger volumes, you can run the Actor multiple times on the same post.
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