Unlock the Power of Web Scraping as a Service

Public web data is powerful, but only when it’s structured and governed. Learn how enterprises transform raw online data into clean, compliant, and business-ready insights, and where Import.io fits in that journey.

The hiring of data scientists has undergone significant changes since 2015. While demand is still high, the skill gaps have shifted: AI engineering, LLM workflows, synthetic data, and governance roles are now the most competitive. This updated 2025 guide revisits Sara Vera’s original hiring insights and expands them with modern strategies for sourcing, evaluating, and developing world-class data science talent in the age of generative AI.

A practical guide on structuring, cleaning, and automating web-extracted data for Google Sheets using Import.io and Sheetgo - now updated with 2025 best practices, including AI-assisted data cleaning, governance, data lineage, continuous data pipelines, and modern spreadsheet functions.

A modern update to the classic entrepreneur tools list, a startup toolkit with the AI-powered workflows of 2025. Explore how dashboards, task management, finance, user testing, communication, and focus tools have evolved dramatically and what today’s founders rely on to work faster, smarter, and more efficiently.

AI regulation has accelerated worldwide in 2025, led by the EU’s AI Act and increasing global efforts to ensure safety, fairness and accountability. This article explains why regulating the mathematical inner workings of AI is impractical and why a functional, risk-based, outcome-focused approach is the only path that protects innovation while managing real-world risks.

A quick look at how AI and machine learning are transforming five major industries in 2025: education, healthcare, transportation, finance, and marketing. In the article, you can also read why adopting AI is now essential for businesses to stay competitive.

What exactly is data, and why is it so important? In this article, we’ll dive deeper into the world of data, exploring its different types, uses, and benefits.

Unlock the power of web scraping as a service. Learn how it works, why you should use it, and key features to look for when selecting a provider.

Explore the evolution of deep learning - from early neural networks in the 1960s to today’s foundation models and generative AI. This updated timeline (2016-2025) covers landmark breakthroughs like AlphaGo, Transformers, BERT, GPT, AlphaFold, and ChatGPT, revealing how deep learning grew from academic theory to a world-shaping technology driving science, creativity, and everyday life.

As organizations handle more data than ever, it’s easy to confuse data mining with data harvesting. This updated 2025 guide explains the difference: harvesting is about collecting web data, while mining is about analyzing it to uncover insights. Learn how both processes now use AI, real-time analytics, and ethical data practices to turn raw web information into business value — and how Import.io helps companies bridge the two.

Discover how to use an Amazon product scraper to monitor prices, availability, and new products with Import.io — the ultimate web scraping platform!

Discover the advantages and disadvantages of using Python web scraping to unlock valuable insights from the internet.

Discover 8 fantastic examples of data storytelling, from historical maps to interactive visualizations. Learn how data insights can be communicated effectively and how tools like Import.io help organizations turn complex data into actionable stories.

Being a data-driven business means making decisions based on data, which provides confidence and supports successful actions. Web Data Integration automates the steps of web data analysis, making it quicker, more accurate, and more reliable for businesses to obtain real-time insights for efficient decision-making.

Data has never been more abundant, but volume alone does not create understanding. Organisations make better decisions when information is clear, contextual and easy to interpret. Data visualization is the discipline that makes this possible.

The web has become the largest, fastest-changing data source on the planet — a living ecosystem of signals, prices, reviews, trends, and insights.From finance and retail to travel and research, organizations rely on web data to understand markets, optimize operations, and outpace competitors.

Import.io was featured on Hacker News, sparking great questions about how our data-extraction platform works, from legality and IP blocking to real-world use cases, pricing, and support. This article addresses the most common questions and explains how import.io enables users to extract structured web data responsibly and effectively.

Back in 2016, leading data experts predicted a future shaped by machine learning, deep learning, smart data, open data, privacy, and the rise of the data-savvy professional.

A quick experiment using Import.io to extract text from r/dataisbeautiful and generate a word cloud in under 30 seconds. We look at trending topics like Citi Bike, explore how word frequency patterns shape conversations, and compare the clarity of word clouds vs bar charts in data visualization.

A walkthrough of how to build custom word clouds using Tagul now WordArt.com, paired with Import.io’s extraction tool. Learn how to pull clean text from any webpage, upload it into a word-cloud generator, and create unique visuals using logos and custom shapes. Includes examples using Import.io, Tableau, BigML, and more.

Usage drives product success, and Import.io learned that achieving a fully structured web required radically simplifying how users extract data. This article explains how the team rethought API creation, built Data Magic, and doubled usage in a single month by turning data extraction into a one-step experience.

This article explores how the death penalty is applied in the United States using 18 detailed graphs drawn from data accessed via import.io and the Death Penalty Information Center. It’s divided into three parts: opposition to the death penalty (9 graphs), the deterrence argument (5 graphs), and broader trends & public opinion (4 graphs). Through visualisations covering geography, race, cost, innocence exonerations, homicide rates and public sentiment, the piece provides a data-driven look at a complex issue.

Project Policy won the SVC2UK Startup Weekend finals with a data-driven policy tool built using import.io. Formed at Startup Weekend Cambridge, the team impressed judges at Google Campus London and now advances to the Global Startup Battle. Runner-up Hands Free Cook Book also used import.io, highlighting the strong innovation and talent across the event.

Data sourcing is a critical process for data scientists and analysts, as it enables them to access the most relevant datasets for their projects. Learn how to source data efficiently and safely, potential challenges, and best practices for successful results.

Data extraction of news articles is an increasingly important task for data scientists and analysts. With the rapid growth in online content, it's becoming more critical to extract structured information from unstructured sources like news articles.

Web scraping can be a useful technique for obtaining and analyzing data. Yet, you must take care to abide by the website's rules and regulations in order to guarantee its legality when web scraping.

In today’s data-driven world, the importance of data aggregation cannot be overstated. By gathering data from multiple sources and presenting it in a summarized format, organizations can gain insights more efficiently and make more informed decisions. 

Whichever industry you work in, or whatever your interests, you will almost certainly have come across a story about how “data” is changing the face of our world. The collection and analysis of data play a crucial role in making informed decisions and driving insights, with data scientists being highly sought after for their expertise in processing and interpreting data.

In the ongoing effort to use big data, you may have come across the term “data normalization.” Understanding this term and knowing why it is so important to today's business operations can give a company a real advantage as they go further in-depth with big data in the future.

Images play a crucial role in enhancing web pages by improving readability and aesthetics, as well as conveying important information. An image URL, which is the internet address of an image on a web page, can be obtained in several ways.

Web data has become incredibly valuable across different industries. Extracting data from websites through web scraping is a crucial process, and Import.io provides an accessible platform for this purpose.

Monitoring channel pricing to ensure consistency is crucial since consumers are able to identify and take advantage of pricing irregularities more quickly and easily than before. A consistent price perception is critical. Inconsistent pricing can damage a brand’s reputation, reduce shopper loyalty and ultimately sales.

This article explains why brands must understand how they’re compared to competitors across online retail sites. From search results and brand pages to product suggestions and ads, these comparisons shape consumer perception and purchase decisions. The article highlights key comparison areas and emphasizes the need for continuous monitoring to protect and strengthen a brand’s online presence.

Product pages are ranked as one of the most important influencers in purchase decisions and customer conversion rates, so it’s essential brands optimize their product information.

The growth in ecommerce is amplifying the importance of insights into how products are positioned, priced and sold online.

The main web data quality problem that they were facing was that their web scraping software was collecting incomplete web data from each product page more than half of the time. Different product-data field values would be missing from nearly 60% of all product records.

The increasing volume of online data is hastening business adoption of data-driven decision-making strategies, and it has been estimated that data-driven companies are 19 times more likely to be profitable and 52% better at understanding their customers.

The scraping of customer reviews can be a useful source of data for e-commerce data extraction, yielding in-depth information that can enable detailed sentiment analysis and drive marketing decision-making. This can be accomplished by scraping customer reviews.

Silicon Review has included Import.io amongst its list of top 50 workplaces in 2020. You can see the full list here and read the interview with Gary Read our CEO below.