July 12, 2025
Why Web Scraping is Crucial in the Food Delivery Industry The food delivery industry is thriving, as the platforms like...
Redefine the possibilities of informed decision-making through our cutting-edge alternative data scraping services. As a leading alternative data provider company, we specialize in sourcing, analyzing, and delivering unconventional data sets that empower businesses, investors, and researchers with a competitive edge in today’s dynamic landscape. Our commitment to quality assurance ensures that alternative data sets are meticulously sourced, cleaned, and validated.
Contact us today to explore how our unconventional data sets can provide the strategic advantage your business needs. Let’s redefine data-driven success together.
With alternative data scraping we curate a rich spectrum of alternative data from non-traditional sources, offering a comprehensive view beyond conventional datasets. We provide tailored alternative data scraping solutions for diverse industries, including finance, e-commerce, healthcare, supply chain, and more. Our team of analysts provides customized insights and actionable recommendations based on alternative data analysis. Uncover patterns, correlations, and trends specific to your industry, guiding you towards more informed and impactful decisions.
Access real-time alternative data feeds for up-to-the-minute insights to gain deeper understanding of consumer behaviour, market trends, and operational performance for strategic decision-making. We deliver high-quality reliable and accurate data that forms the foundation for robust analysis and predictive modelling.
Collaborative partnerships with data providers, technology innovators, and industry experts to continually expand our alternative data offerings. Connect with us for all your alternative data needs and gain the competitive advantage.
Our Expertise
→ Credit Card Transactions:
Aggregating anonymized credit card transaction data to identify consumer spending patterns and economic trends.
→ Satellite Imagery for Retail Analysis:
Using satellite imagery to monitor retail parking lots, analyze foot traffic, and assess the health of retail businesses.
→ Alternative Energy Production Data:
Tracking alternative energy production metrics such as solar and wind energy generation for insights into the renewable energy sector.
→ Web Scraping:
Extracting data from competitors’ websites to monitor product prices, availability, and customer reviews.
→ Location Data:
Analyzing foot traffic data from mobile devices to understand customer movement patterns and optimize store locations.
→ Weather Data Impact on Sales:
Correlating weather data with sales data to understand how weather conditions affect consumer behavior.
→ Pharmaceutical Trials Data:
Providing information on ongoing and completed pharmaceutical clinical trials for drug development analysis.
→ Wearable Device Data:
Aggregating data from wearable devices to monitor health trends, physical activity, and sleep patterns.
→ Social Media Health Mentions:
Analyzing social media discussions for health-related mentions to identify emerging health trends.
→ IoT Sensor Data:
Leveraging data from Internet of Things (IoT) sensors in supply chain processes for real-time tracking and optimization.
→ Shipping and Port Activity:
Monitoring shipping and port activities to predict supply chain disruptions and assess global trade trends.
→ Supplier Financial Health:
Analyzing financial data of suppliers to assess their stability and potential impact on the supply chain.
→ Satellite Imagery for Property Development:
Using satellite imagery to monitor construction activity and assess the progress of property development projects.
→ Foot Traffic Data for Retail Properties:
Analyzing foot traffic around retail properties to assess the potential success of commercial real estate investments.
→ Social Media Mentions for Property Demand:
Analyzing social media mentions and discussions related to housing demand and market trends.
→ Social Media Mentions for Tech Products:
Monitoring social media discussions for mentions of new tech products and gauging consumer sentiment.
→ Web Search Data Analysis:
Analyzing search engine query data to identify emerging technology trends and consumer interests.
→ User Engagement Metrics:
Aggregating data on user engagement with websites and applications to assess the popularity of digital products.
Industries
End-to-end data extraction services covering all the major industries to deliver required data for unique business niche.
Why We
Why DataSeeders
With comprehensive data coverage, advanced data collection techniques, and customizable solutions DataSeeders can be your ideal partner for all your alternative data requirements. Dedicated data provider team, actionable information, customized solutions, and 24*7 support helps to transform your business and achieve defined goals.
Data validation with AI and ML help us to enhnace and maintain data quality across millions of data records.
Custom data solutions for startups to large enterprises. Tell us your data needs and we will deliver in no time.
With the use of advance technologies, our experts delivers data in quick manner to help you take quick business decisions.
Highly scalable infrastructure enable us to perform large scale data extraction hassle free.
Testimonials
DataSeeders transformed our eCommerce business by providing real-time product and pricing data. Their scraping services helped us monitor competitors, optimize pricing, and identify emerging trends. The accuracy and speed of their API have been game-changers for our strategy.
We rely on DataSeeders for real-time restaurant menu and pricing updates. Their scraping services have helped us keep our platform updated, ensuring customers always have the latest information. Their reliability and accuracy have significantly improved our user experience.
Their scraping services provided us with invaluable insights into market trends and customer preferences. Their real-time price monitoring tool allowed us to adjust pricing dynamically, leading to increased sales and profitability. We highly recommend this company for data services.
DataSeeders has been instrumental in helping us track social media trends and user engagement metrics. Their expert services have allowed us to refine our content creation and promotion strategy, resulting in a 40% increase in audience engagement within months.
As a job board, staying ahead of competitors is critical. Team DataSeeders provided us with real-time job postings, company details, job market trends, and salary trends, allowing us to enhance our platform's offerings and attract more job seekers and employers.
Their expert data team helped us track trending movies, TV shows, and music charts in real time. Provided data feeds enabled us to deliver personalized recommendations, improving user retention and engagement on our platform. Thank you, Team DataSeeders.
They provided us with up-to-date flight, hotel, and rental car data, enhancing our booking platform's efficiency. Their accurate and structured data enabled us to offer better recommendations and competitive pricing to our consumers. Happy to select you as data partner.
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FAQs
Alternative data refers to non-traditional or unconventional data sources that are used to gain insights into various aspects of businesses, markets, and industries. Unlike traditional data sources such as financial statements, alternative data can include social media activity, satellite imagery, web scraping, and other non-traditional sources.
Alternative data is important because it provides additional, often unique, perspectives and insights that may not be available through traditional data sources. It can enhance decision-making processes, improve risk assessment, and offer a more comprehensive understanding of market trends.
Common types of alternative data include social media data, web scraping data, satellite imagery, geolocation data, sentiment analysis, credit card transactions, and more. The range of alternative data sources continues to expand with advancements in technology.
Alternative data is collected through various methods, including web scraping, data mining, application programming interfaces (APIs), sensors, satellite and aerial imagery, surveys, and partnerships with data providers. The collection methods depend on the type of data being sought.
Industries such as finance, investment, insurance, retail, healthcare, and real estate can benefit from alternative data. In finance, for example, alternative data can be used for predictive modelling, risk management, and investment analysis.
Challenges include data quality issues, privacy concerns, regulatory compliance, and the need for sophisticated analytical tools. Integrating alternative data with existing datasets can also be complex, and interpreting unstructured data requires advanced analytics.
In finance, alternative data is used for quantitative analysis, predictive modelling, and risk management. Investors use alternative data to gain insights into market trends, consumer behaviour, and company performance, helping them make more informed investment decisions.
Machine learning is often employed to analyze and extract meaningful insights from large volumes of alternative data. Algorithms can identify patterns, correlations, and anomalies, facilitating predictive modelling and decision-making processes.
Ethical considerations include privacy concerns, potential biases in the data, and the responsible use of sensitive information. Companies must adhere to regulations and ethical standards to ensure the fair and transparent use of alternative data.
The adoption of alternative data is growing as technology advances and organizations recognize its value. As more industries explore unconventional data sources, the landscape of alternative data is likely to continue expanding.
Web data scraping company providing expert data extraction and analytics solutions.
501 Shapath 1, Suite no – 1013. SG Highway, Bodakdev. Ahmedabad-380054
sales@dataseeders.com
+91 84014 81455
