What is Web Scraping Data? Examples, Datasets and Providers
What is Web Scraping Data?
Web scraping data is information that is extracted from the web/internet. Web scraping data covers hundreds, millions, or even billions of data points from the internet’s endless set of pages. It includes product specifications, consumer reviews and feedback on the specific website. This data is presented in HTML format. Depending on the design, web scraping data can be as simple as a name and address in some instances, or as complex as high dimensional weather and seed germination data.
Examples of web scraping data include product information from e-commerce websites, news articles from online news platforms, and job listings from job search websites. Web scraping data is used for various purposes such as market research, price comparison, sentiment analysis, and data analysis. In this page, you’ll find the best data sources for web scraping datasets and web scraping APIs.
Best Web Scraping Datasets & APIs
Best Web Scraping Data Tool in 2024, Web scraping Data, Web Scraping Data Extraction , Web Scraping Data API, AI Web Scraping Data, Web Scraping
CrawlBee | Web Scraping Data | Web Data Extraction | Web Data | Web Activity Data
Webautomation | Amazon Data | Web Scraping Data | Amazon Web Extraction | GDPR compliant
TagX Web Scraping Data | Web data extraction | Scrape Ecommerce websites | Data from all popular domains | Global web data | 100% compliant
News Data | Web Scraping Data | Web Browsing Data | Sentiment Score for News
Coresignal | Web Scraping | Company Data | Global / 71M+ Records / Largest Professional Network / Updated Daily
Datamam - Web Scraping Services
PredictLeads: Web Data | Web Scraping data | Job Postings Data | Global Coverage |API & Flat File | Source: Company Website | 182+ Million Records
Comprehensive Web Scraping Data for Consumer and Employee Sentiment Analysis: 3+ years of Glassdoor and G2 Reviews | Public Web Data
Monetize data on Datarade Marketplace
Top Web Scraping Data Providers
Datarade considers factors such as data quality, reliability, scalability, compliance with legal and ethical standards, pricing transparency, data delivery methods, customization options, and customer reviews when recommending web scraping data providers.
Web Scraping Data Use Cases
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