NLP Training & Brand Intelligence

Collect & Label Data for Sentiment Analysis

Extract text data from reviews, social media, surveys, and forums — automatically labeled with sentiment (positive/neutral/negative). Get high‑quality training datasets for AI models or actionable brand insights at scale.

Start Collecting Data How It Works
500M+
Text samples collected
95%+
Labeling accuracy
30+
Data sources
📊 Sentiment Analysis · Live Feed
"Absolutely love this product! The quality exceeded my expectations and shipping was fast."
😊 Positive Confidence: 96%
Amazon
"Decent software but missing some key integrations. Support team was responsive though."
😐 Neutral Confidence: 78%
G2
"Terrible customer service. Waited 2 hours on hold and issue still not resolved. Very disappointed."
😞 Negative Confidence: 92%
Twitter/X
⬇️ Processing 12,847 text samples this hour
Trusted by AI teams & research labs: Hugging Face • Scale AI • Appen • Surge AI
Comprehensive Sentiment Data
What You Get with Our Sentiment Data Collection
Labeled text datasets ready for model training or business intelligence.
📝

Raw Text Data

Reviews, social posts, comments, survey responses, and forum discussions.

🏷️

Sentiment Labels

Positive, neutral, negative labels with confidence scores and sub‑categories.

😊😐😞

Emotion Detection

Optional emotion tagging (joy, anger, sadness, surprise) for deeper analysis.

📊

Aspect‑Based Sentiment

Sentiment toward specific product features, service aspects, or topics.

🌍

Multi‑Language Support

Collect and label text in English, Spanish, French, German, Chinese, and more.

📁

Flexible Output Formats

CSV, JSON, JSONL, or direct to cloud storage — ready for ML pipelines.

Supported Data Sources
We Collect Text from Any Platform
Reviews, social media, surveys, forums, and custom sources.
Amazon ReviewsYelpGoogle Reviews TrustpilotTwitter / XReddit Facebook (public)Instagram CommentsYouTube Comments TripAdvisorG2 / CapterraProduct Hunt SurveyMonkey (export)Custom APIsInternal Databases

Need a specific source? We build custom data collectors.

Simple 4‑Step Process
Get Labeled Sentiment Data in Days
From requirement to AI‑ready dataset — a streamlined workflow.
1

Define Scope

Specify data sources, topics, industries, or products to target.

2

Configure Labels

Choose sentiment taxonomy (3‑class, 5‑class, emotion, aspect‑based).

3

Collect & Label

Automated scraping with ML‑assisted labeling and human review option.

4

Deliver & Validate

Structured dataset delivered with quality metrics and ongoing updates.

Applications
How Teams Use Sentiment Data
🤖

AI & NLP Model Training

Build custom sentiment classifiers, emotion detection models, and chatbots.

📊

Brand Monitoring

Track sentiment trends, identify PR crises early, and measure brand health.

🏢

Competitive Intelligence

Compare sentiment toward competitors and identify market opportunities.

📦

Product Feedback Analysis

Aggregate customer feedback to prioritize feature requests and bug fixes.

💰

Investment Research

Analyze public sentiment toward stocks, crypto, and market trends.

🎓

Academic Research

High‑quality labeled datasets for linguistics, psychology, and social science.

Why MyDataScraper
Superior to Off‑the‑Shelf Datasets and Manual Labeling
Capability
MyDataScraper
Public Datasets / Manual
Domain‑specific data
✓
– (generic)
Fresh, real‑time data
✓
– (outdated)
Custom sentiment taxonomies
✓
– (fixed)
High labeling accuracy
✓
– (inconsistent)
Scalable to millions of samples
✓
– (time‑consuming)
Multi‑language support
✓
– (English‑only)
Dedicated data specialist
✓
–
Pricing
Flexible Plans for Sentiment Data Collection
Scale your data pipeline as your needs grow.
Starter
$499/mo

For small teams and proof‑of‑concepts.

  • Up to 100K samples/month
  • 2 active data sources
  • CSV / JSON export
  • Email support
  • Basic dashboard
Most Popular
Professional
$1,299/mo

For AI teams and growing businesses.

  • Up to 1M samples/month
  • 5 active data sources
  • CSV, JSON, DB push
  • Slack/email alerts
  • API access
  • Human review option
Enterprise
Custom

For large‑scale AI training and enterprises.

  • Unlimited samples
  • Aspect‑based sentiment
  • Custom labeling schemas
  • Dedicated data scientist
  • 99.9% SLA
  • Raw data lake access
  • White‑label reporting

All plans include onboarding and schema design. Talk to sales for custom volumes.

FAQ
Frequently Asked Questions
What sentiment labels do you provide? +
Standard 3‑class (positive/neutral/negative), 5‑class (very positive to very negative), emotion tags (joy, anger, sadness, fear, surprise), and aspect‑based sentiment for specific features/topics.
How accurate is the sentiment labeling? +
Our ML‑assisted labeling achieves 90‑95%+ accuracy depending on domain and complexity. We offer optional human review for mission‑critical datasets to reach 98%+ accuracy.
Can you collect data in multiple languages? +
Yes. We support text extraction and sentiment labeling in 30+ languages including English, Spanish, French, German, Chinese, Japanese, Arabic, and more.
Is the data collection compliant with privacy laws? +
We only collect publicly accessible text data and adhere to GDPR, CCPA, and platform terms of service. We never extract private messages or data behind authentication.
What output formats do you provide? +
CSV, JSON, JSONL (ready for ML training), Excel, or direct to cloud storage (S3, GCS, Azure). We can also push to databases like PostgreSQL, BigQuery, or Snowflake.
Do you offer a sample dataset? +
Yes. We provide a free sample of 1,000 labeled text samples from your target domain to demonstrate data quality.
Client Success
AI Teams Powered by Our Sentiment Data
★★★★★

"MyDataScraper provided 2 million labeled product reviews for our sentiment classifier. The data quality was excellent, and our model accuracy improved by 15%."

Dr. Alex Rivera · Lead ML Engineer, RetailAI
★★★★★

"We use their sentiment data collection to monitor brand perception across social media. Real‑time alerts on negative sentiment have been a game‑changer for our PR team."

Priya M. · Director of Marketing, BrandWatch

Ready to Build Your Sentiment Analysis Dataset?

Get a free sample of 1,000 labeled text samples from your target domain.

Start Your Data Project

Complete the form below and our team will provide a custom quote within 24 hours.