Features

Web Data Service

Access high-quality datasets from millions of sources.

Real-time data scraping at scale
Structured and customizable formats
Supports compliance and ethical sourcing

Data Analytics

Transform raw data into strategic insights.

Trend analysis and reporting
Custom dashboards and KPIs
Supports real-time decision making

Data Engineering

Build powerful and scalable data infrastructure.

Pipeline development & orchestration
Cloud-native architecture
ETL & real-time data processing

Data Science & AI

Solve complex problems using advanced AI models.

Predictive analytics and forecasting
Natural Language Processing (NLP)
Custom ML model deployment

Financial News Analytics

Decode financial news to make faster market decisions.

Real-time news aggregation
Sentiment scoring & entity tagging
Market impact detection

Digital Feedback Analysis

Unlock customer sentiment with intelligent feedback tools.

Real-time review monitoring
Text classification and topic extraction
Customer satisfaction scoring

Review quickly and confidently using Lexend.

Proposals

Share tools in minutes with pre-built, customizable templates for your business needs.

Quotes

Find out in real time when your proposals are opened, viewed, and signed by clients.

Contracts

Use native CRM integrations to pull customer data into your tools quickly and efficiently.

eSignatures

Keep your data secure with legally binding e-Signature software for all your contracts.

Forms

Share via direct link or by embedding them on your website, no coding necessary.

Payments

Collect payments instantly from your contracts while increasing your close rate by 36%.

Frequenlty asked questions:

What is Competitive Intelligence Framework (CIF)?
Competitive Intelligence Framework (CIF) is a structured approach to systematically gather, analyze, and utilize information about the competitive environment. It helps businesses make informed decisions, identify opportunities, and stay ahead in their industry.
How does web scraping help in competition monitoring?
Web scraping systematically collects and analyzes data from online sources to gain insights into competitors' strategies, activities, and performance. It provides valuable intelligence for informed decision-making and maintaining a competitive edge.
What are the benefits of using CrawlSight's CIF?
CrawlSight's CIF offers advanced web data extractors, scalable data lakes, distributed data processing, AI/ML capabilities, and centralized analytics dashboards. These features enable businesses to gain actionable insights and maintain a competitive advantage.
Can CIF be used for real-time price monitoring?
Yes, CIF enables real-time price monitoring by continuously extracting data and providing real-time analytics. This allows businesses to swiftly react to pricing changes and maintain a competitive position in the market.
What industries benefit from competitive analysis?
Industries such as e-commerce, retail, financial services, and healthcare benefit from competitive analysis. It helps with dynamic pricing, inventory management, market trend analysis, product development, and more.
How can a news dataset be used for market analysis?
A news dataset provides insights into market trends, public sentiment, and economic developments. By analyzing news articles, businesses can predict market movements and make data-driven decisions.
What is a review dataset, and how is it useful?
A review dataset contains customer feedback and ratings for products or services. It helps businesses understand customer sentiment, identify areas for improvement, and enhance their offerings.
How can a stock market dataset be utilized?
A stock market dataset provides historical and real-time data on stock prices, trading volumes, and market trends. It is used for financial analysis, investment strategies, and predicting market behavior.
What insights can be derived from a healthcare dataset?
A healthcare dataset provides information on patient records, treatments, and outcomes. It is used for improving patient care, identifying health trends, and conducting medical research.
How does sentiment analysis work on news datasets?
Sentiment analysis uses natural language processing (NLP) to determine the emotional tone of news articles. It helps businesses understand public sentiment and its potential impact on markets.

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