Real‑time customer reviews, social media conversations, forum posts, and product feedback — scraped from 200+ sources and delivered with built‑in AI sentiment scoring. Train your NLP models, power brand monitoring, and unlock customer insights with 99.9% accurate, structured text data.
{
"items": [
{
"text": "The Acme phone battery lasts forever!",
"source": "Twitter",
"timestamp": "2026-04-26T09:12:00Z",
"sentiment": "positive",
"confidence": 0.97,
"entities": ["Acme phone", "battery"],
"topic": "product_quality"
},
{
"text": "Screen cracked after one drop. Very fragile.",
"source": "Trustpilot",
"timestamp": "2026-04-25T14:23:00Z",
"sentiment": "negative",
"confidence": 0.93,
"entities": ["screen"],
"topic": "durability"
}
],
"aggregate_sentiment": { "positive": 62, "neutral": 18, "negative": 20 }
}
From keyword to labelled dataset — a comprehensive pipeline that gathers public text and enriches it with AI‑driven sentiment insights.
Specify brands, products, hashtags, or domains. We'll target reviews, social posts, and forums discussing them.
We scrape 200+ sources — social media, review platforms, forums, news — with rotating proxies and dynamic rendering.
Every text is analyzed with our NLP engine: sentiment polarity, confidence, entities, topics, and language detection.
API, CSV, JSON, or direct sync — ready for your dashboards, ML training pipelines, and analytics tools.
Every attribute needed for sentiment analysis — provided as clean, structured records from 200+ sources.
Full review, post, or comment content.
Positive, neutral, or negative classification.
Model certainty (0‑1) for each sentiment prediction.
Extracted product names, features, and discussion themes.
Twitter, Trustpilot, Reddit, news sites, and more.
Publication date and time for trend analysis.
Public username, follower count, and location (if available).
Detected language code for multilingual sentiment models.
From customer experience to competitive intelligence — actionable insights powered by scored text at scale.
Track public sentiment around your brand in real time and respond to shifts immediately.
Aggregate user opinions across platforms to prioritize product improvements.
Build or fine-tune sentiment models with millions of pre‑labeled, real‑world text samples.
Analyze consumer mood, purchase intent, and category buzz around competitors.
Receive alerts when negative sentiment surges so your PR team can act fast.
Measure the emotional response to your marketing campaigns across social channels.
Data scientists, brand managers, and product teams use our labeled datasets to extract meaning from public voice.
Gauge reputation and customer love with quantitative sentiment scores.
Train NLP models on diverse, fresh, real‑world text without manual labeling.
Identify pain points and delighters directly from customer conversations.
Build sentiment indexes and competitive benchmarks from public chatter.
Aggregate product‑level sentiment to improve listings and inventory decisions.
Power internal dashboards with continuous, multi‑source voice‑of‑customer data.
We deliver the richest, most accurate, and ready‑to‑use sentiment datasets — purpose‑built for NLP and analytics.
Social media, review sites, forums, news — one feed format with sentiment scores attached.
Every text comes pre‑scored with polarity, confidence, entities, and topics — no extra processing needed.
Our sentiment models are continuously refined and validated — industry‑leading performance.
Millions of texts per day, auto‑rotating IPs, and strict adherence to public data policies.
REST API, CSV, JSON, Parquet, or direct sync to your BI tool, data lake, or ML pipeline.
Only public data, fully documented methodology, DPAs signed — ready for your compliance review.
From a single brand keyword to an enterprise‑wide sentiment dataset — choose a plan that matches your NLP needs.
For small teams & proof‑of‑concept work.
For growing brands & data science teams.
For large‑scale NLP & global brand intelligence.
💡 Need a custom training dataset? Talk to us — we'll design a project around your ML model.
Everything you need to know before building your sentiment dataset.
Yes — we only extract publicly available text visible to any visitor. Our operations comply with GDPR, CCPA, and platform terms. We never access private accounts or gated content. We recommend consulting your legal team for your specific use case.
Our sentiment models consistently achieve over 93% accuracy against human‑labeled benchmarks. Each result includes a confidence score so you can filter by certainty.
We support English, Spanish, French, German, Hindi, and 20+ other languages. Multilingual sentiment models are available on Professional and Enterprise plans.
Professional plans support updates as frequently as every 15 minutes. Enterprise clients receive near‑real‑time streaming. Starter plans include daily refresh.
Yes, we maintain archives of past texts and scores. Enterprise clients can request backfills and historical trend analysis for any topic or brand.
Tell us your keywords and platforms — we'll deliver a pre‑scored sample dataset and a tailored quote within 2 hours.
📧 Email: info@scraperscoop.com
📧 Email: work.scraperscoop@gmail.com
Tell us your requirements and get a custom quote within 15 minutes.