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Data Scrapping Service
Data Scrapping Service
Data scraping, also known as web scraping or data extraction, is the process of automatically collecting information from websites and converting it into structured data for analysis or storage.
- Social media analytics and monitoring.
- Extracts data from websites by parsing HTML/XML code.
- Lead generation and sales prospecting.
- Real-time data feeds for financial applications.
User Research
Understanding user needs, preferences, behaviors, and pain points through research.
Confidence in future
By understanding the principles, tools, challenges, and best practices associated with data scraping, businesses can leverage this technology to gain a competitive advantage and drive informed decision-making. .
Web scraping involves extracting data from websites by parsing the HTML or XML code of web pages.
It can retrieve various types of data, including text, images, links, product details, contact information, prices, reviews, and more.
Web scraping is used for tasks such as market research, competitor analysis, price monitoring, content aggregation, lead generation, and sentiment analysis.
Social media scraping involves collecting data from social media platforms such as Facebook, Twitter, LinkedIn, Instagram, and Reddit. It can extract user profiles, posts, comments, likes, shares, followers, and other relevant information. Social media scraping is used for social media analytics, sentiment analysis, trend tracking, influencer identification, and targeted advertising
Financial data scraping involves collecting data from sources such as stock exchanges, financial news websites, and APIs.
It extracts stock prices, market indices, company financials, economic indicators, and other relevant data.
Financial data scraping is used for investment research, portfolio management, trading strategies, risk assessment, and financial modeling
