Data Mining & Intelligence

Mine the signal, cut the noise.
Intelligence from the open web.

We extract structured intelligence from unstructured web sources social media, forums, review platforms, news feeds and deliver it as actionable data your team can actually use.

Sentiment AnalysisNLP ProcessingTopic ModellingTrend DetectionReview Mining

// What we mine

Every source your
competitors are ignoring.

We go beyond standard scraping. Our NLP pipelines extract meaning  not just text  from the sources that matter.

💬

Social Media Intelligence

Track brand mentions, extract sentiment trends, and monitor competitor activity across social platforms in real time.

Twitter/X Reddit LinkedIn Threads
⭐

Review & Ratings Mining

Systematic extraction of customer reviews with NLP sentiment scoring by product SKU, brand, or competitor line.

Amazon Trustpilot Google Yelp
📰

News & Forum Analysis

Monitor industry news, forum discussions, and community platforms for emerging trends and topic signals.

RSS feeds Reddit Forums News sites
🏪

eCommerce & Marketplace Data

Extract product intelligence, pricing patterns, Q&A data, and competitive positioning from retail marketplaces.

Amazon eBay Etsy Shopify

// How it works

From raw web data
to clean intelligence.

01

Define the brief

You tell us the sources, topics, and intelligence you need. We scope the technical architecture and data model.

02

Extract & clean

Our pipelines extract at scale — JavaScript rendering, anti-bot bypass, IP rotation. Raw data cleaned before analysis.

03

Analyse & enrich

NLP models score sentiment, classify topics, extract entities, and detect trends. You get intelligence, not raw text.

04

Deliver & maintain

Structured delivery in your preferred format on any schedule — daily, weekly, or real-time. Maintained as sources change.

// Sample output

Structured, scored,
and ready to use.

Every record we deliver includes sentiment scores, topic classifications, and source metadata not raw text dumps.

🎯

Sentiment Scoring

Per-record positive/negative/neutral scoring with confidence levels across any language.

🏷️

Topic Classification

Automatic tagging by topic cluster so you can filter and segment without manual review.

📈

Trend Detection

Volume spikes, emerging themes, and anomaly alerts delivered with your data feed.

sentiment-output.json · record 1 of 4,821
{
  "id": "rv_0482910",
  "source": "amazon.co.uk",
  "sku": "TXT-4821-B",
  "date": "2026-05-28",
  "rating": 4,
  "sentiment": {
    "label": "positive",
    "score": 0.87,
    "confidence": 0.94
  },
  "topics": [
    "packaging", "delivery_speed"
  ],
  "entities": ["brand_name", "size"],
  "flags": [],
  // keyword complaint clusters
  "top_phrases": ["fast dispatch", "great quality"]
}