Yahoo Finance dataset attributes include: company name, company ID, entity type, summary, stock ticker, currency, earnings, exchange, closing price, previous close, open, bid, ask, day range, week range, volume, and much more.

Bright Data’s technology allows a cost-effective way to perform fast and stable public web data collection at scale, effortlessly converting unstructured data into structured data, resulting in complete, accurate, and enriched datasets. Subscribe to a data feed Get updated or new records from your preferred dataset daily, weekly, biweekly, or monthly based on your chosen schedule. Filter datasets into subsets Use laser-focused data by filtering datasets based on selected data points, allowing for budgetary and operational flexibility. Get custom-made datasets Request a dataset tailored to your business needs. Simply choose the domain and get the dataset to your preferred storage. How it works? Easy Discovery Tap into all data points available on a website, which can be very challenging to discover when collecting yourself. Accurate and Complete Get fresh, precise, and complete datasets, covering millions of pages and tens of millions of data points. Enriched Data Increase the value and usability of your dataset by integrating multiple data sources to create a valuable enriched dataset. Leaders in Compliance Bright Data is fully committed to complying with all relevant data protection legal requirements, including GDPR and CCPA.

Use our Manta dataset, a US business directory, to find businesses in the US by location, business type, and other parameters and collect extensive information on each company. Depending on your needs, you may purchase the entire dataset or a customized subset. Popular use cases: competitive business intelligence, B2B location-based marketing, B2B data enrichment, and more! The Manta dataset is ideal for getting extensive information on businesses located in the US. Easily filter by location, business type, and other factors to get the exact data you need. The dataset includes all major data points: Business name, Address, Opening hours, Phone, Website, State, Business Category, Sic code, Social media links and more!

Use our Zara dataset for any project related to eCommerce and retail. Analyzing the Zara dataset can help retailers understand Zara's pricing and product strategies and adjust their strategy accordingly to remain competitive. Get a complete overview of Zara’s pricing and products. The dataset includes all major data points: Product name, Price Category name, Materials, Matched, Similar products, Low on stock, Image and much more!