-

Real-time pricing intelligence

for

Retail

&

Brands

Compare your pricing, availability, and assortment against competitors in real time.

Compare your prices, availability, and assortment across competitors.

Track MAP violations, pricing gaps, and distribution issues across retailers in real time.

Track where retailers break your pricing, create gaps, and impact distribution

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Enterprise Web Data extraction
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AI Pricing Intelligence
Platform
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From fragile web scraping

→to reliable data extraction.

Scrapers break. The web doesn’t stop.
Import.io delivers stable web data extraction for price monitoring, competitor tracking, and real-time insights.‍

AI-Native Data Extraction ↗

Automatically adapts to website changes with self-healing, continuously monitored pipelines.

Built-in Compliance Controls ↗

Automatically detect and remove sensitive or restricted data to ensure compliance.

Enterprise-Grade Reliability ↗

10+ years powering mission-critical data pipelines with enterprise-grade uptime.

What Import.io does

Import.io turns any website into structured, decision-ready data - for pricing teams who want answers, and data teams who want the feed.

0 1

Pricing intelligence

Track competitor prices, MAP (minimum advertised price) violations, availability and assortment across retailers, daily. Free demo.

0 2

Managed web data extraction

Self-healing pipelines extract, validate and deliver clean, governed data to your API, warehouse or BI stack.

0 3

Web scraping & data extraction

Point-and-click or API extraction from any website. Self-service, or fully managed by our team. Start 30-day free trial.

0 4

Built for retail and brands

Used by pricing, category, e-commerce and data teams to make decisions while prices are still live.

0 5

Web Scraper MCP

Connect Import.io's hosted scraping engine directly to Claude, ChatGPT, Cursor and any MCP client. Give your AI agent real web data. Free trial10,000 calls.

Aperture ↗

Turn web data into real-time pricing decisions - monitor competitors, enforce MAP, and control your digital shelf.

For a breakdown of the market, see our guide to the best pricing intelligence tools in 2026.

See your market - Free trial

Built for real-time decisions across industries

Transform web data into real-time insights for pricing, risk, compliance, and market intelligence.

Retail & E-Commerce

Pricing, inventory, reviews.

Finance & Alternative Data

Market sentiment, filings, supply chain signals.

Healthcare & Life Sciences

Clinical trials, abstracts, compliance-ready feeds.

Climate & ESG

Sustainability reporting, emissions monitoring.

Legal & Regulatory

Case law, filings, AI-summarized insights.

Retail & E-Commerce

Pricing, inventory, reviews.

Finance & Alternative Data

Market sentiment, filings, supply chain signals.

Healthcare & Life Sciences

Clinical trials, abstracts, compliance-ready feeds.

Climate & ESG

Sustainability reporting, emissions monitoring.

Legal & Regulatory

Case law, filings, AI-summarized insights.

Governed, compliant data - by default.

Enterprises don't just need data. They need data they can defend. Import.io delivers extraction with compliance built in - so legal, security and procurement can sign off without a fight.

GDPR AND CCP Compliant

Customizable sensitivity thresholds
PII ↗ (personally identifiable information) masking - detection & removal".
Complete audit trails↗ & dashboards
Secure data↗ delivery pipelines

Trusted by enterprises for secure, compliant web scraping data at scale.

See how AI is transforming web data into enterprise intelligence.

Talk to an Expert See in Action

When Point-and-Click Isn't Enough: Scaling Web Data

Most web data projects start with a point-and-click scraper, and for a few stable sources that is the right call. This guide maps what happens next: when to add proxies and APIs, when to scale, and when to hand the whole pipeline to a managed service.

Import.io Web Scraper MCP for Claude, ChatGPT and Cursor

Import.io has spent fourteen years extracting data from the web's most defended sites. That engine now runs behind a single Model Context Protocol endpoint, so any AI client can render pages, handle blocks and CAPTCHAs, target a country, and get structured JSON back. The first 10,000 successful calls are free.

Best MAP Monitoring Software in 2026 | Import.io

A practical, guide to the best MAP monitoring software in 2026, grouped by what each tool does best, from turnkey enforcement to evidence-backed in-house compliance with Import.io Aperture.

Which Import.io Plan Is Right for You?

Which Import.io Plan Is Right for You? | Import.io

A plain guide to Import.io's Trial, Standard, Professional, and Advanced plans: who each suits, the signals that tell you to move up a tier, and where Aperture fits.

Automated US MAP Enforcement Workflows | Import.io

Manual MAP enforcement is slow, inconsistent, and hard to scale. Here's how US brands automate the process with timestamped workflows that protect margins while keeping retail partners on side.

MAP Monitoring Across the US, EU & UK | Import.io

MAP enforcement is legal in the US but restricted in the EU and UK. Here's what brands can and can't do in each region, and how to monitor retailer pricing compliance legally from a single dashboard.

Model-Ready Web Data for AI: A Practical Guide | Import.io

Raw scraped data is rarely safe to train on. This guide explains what model-ready web data means, why raw extraction falls short, and how enterprises get structured, governed data for fine-tuning, RAG, and evaluation.

Best Web Scraping Tools in 2026: A Buyer's Guide | Import.io

A practical 2026 comparison of web scraping tools grouped by the job they do, from open-source libraries to managed data services, with guidance on cost, reliability, and when to build versus buy.

How to Test & Validate Web Data Quality | Import.io

Coverage, completeness, schema drift, freshness, and AI-readiness checks every data team should run on extracted web data.

Share of Shelf 2026: How to Measure & Calculate | Import.io

Share of shelf measures how much of a category's visible space a brand owns at the point of purchase. This guide covers the formula, the difference between physical and digital share of shelf, the supporting metrics that give it context, and how enterprise teams track it reliably across retailers in 2026.

Digital Shelf Analytics for Clothing Brands | Import.io

Fashion and clothing brands that sell through third-party retailers often lose visibility into how their products appear across channels. This guide covers the key digital shelf metrics clothing brands should track, the most common monitoring failures, and how to build a reliable review workflow at scale.

Web Scraping Techniques 2026 | Modern Web Data Extraction Guide

A practical guide to the most important web scraping techniques in 2026, including AI-assisted extraction, browser-based scraping, API collection, managed web scraping, product matching, and data validation for pricing intelligence and digital shelf analytics.

Pricing Intelligence Tools in 2026: How They Work + Examples

This article explains what pricing intelligence tools are and how they work. It explores how web scraping, pricing intelligence software, and AI pricing tools help businesses monitor competitor pricing, analyse trends, and optimise pricing strategies in e-commerce.

Best Price Intelligence Tools in 2026: Software Comparison for Retail Teams

Explore the best price intelligence tools in 2026 and see how pricing intelligence software, AI pricing tools, and competitor price monitoring tools help ecommerce teams track market changes, optimize pricing strategies, and improve digital shelf analytics performance.

Web Scraping for Digital Shelf Analytics | Pricing Intelligence Software

This article explains how web scraping supports digital shelf analytics in 2026. Learn how brands use pricing intelligence software, AI pricing tools, and competitor price monitoring tools to monitor pricing, availability, and product visibility.

AI Pricing Tools & Digital Shelf Analytics | Pricing Intelligence Software Guide

E-commerce teams manage large volumes of pricing and competitor data. This article explains how AI pricing tools, pricing intelligence software, and digital shelf analytics help analyze this data and improve pricing decisions using platforms like Import.io Aperture.

The Hidden Cost of Web Scraping for Data Teams

Web scraping has long been used to collect competitor data, but maintaining scraping systems can become costly and unreliable at scale. This article explores the hidden costs of scraping and why businesses are adopting automated market intelligence platforms like Import.io Aperture to monitor competitor prices, product assortment, and stock availability more efficiently.

How to Perform a Competitor Analysis in 2026

Competitor analysis has evolved significantly in recent years. Learn how businesses in 2026 use web data to monitor pricing, products, SEO strategies, and customer feedback, and how modern tools like Import.io Aperture make competitor intelligence faster and easier than traditional web scraping.

Competitive Price Monitoring Strategy (2026 Guide)

Competitive pricing in 2026 requires real-time visibility into competitor prices, promotions, and stock levels. Learn how to build a modern price monitoring strategy and how tools like Import.io Aperture help turn web data into actionable pricing intelligence.

Web Crawling vs Web Scraping (2026 Guide)

Web crawling and web scraping are often confused, but they serve different purposes. This 2026 guide explains how crawlers discover URLs, how extractors pull structured data, and how modern web data strategies prioritise precision, efficiency, and compliance.

Data Visualization in 2026: Tools, Trends & Strategy

Data visualization has evolved from static reports to real-time dashboards powered by AI and external web data. This 2026 update explores how visualization has changed, why clarity matters more than ever, and how modern businesses turn complex data into actionable insight.

Business Intelligence vs Data Analytics (2026 Guide)

Business intelligence and data analytics are often used interchangeably, but they serve different roles. This 2026 guide explains how BI focuses on present performance, analytics looks toward the future, and why both depend on high-quality data to drive smarter business decisions.

Live Web Data in Google Sheets (2026 Guide)

Spreadsheets are still one of the easiest ways to work with data. This guide shows how to pull live web data into Google Sheets in 2026 using Import.io, so your spreadsheet stays up to date without writing code or leaving Google Sheets.

Structured vs. Unstructured Data (2026 Guide)

Data fuels modern businesses, but not all data is the same. This 2026 guide breaks down the differences between structured and unstructured data, explains why unstructured web data now dominates, and shows how companies use Import.io to turn it into structured, analysis-ready insights.

Yahoo! Pipes Alternatives (2026 Guide to Modern Tools)

Yahoo! Pipes once made it easy to combine and remix web data without code. Although it shut down years ago, the need it solved hasn’t gone away. This updated 2026 guide covers the most common Yahoo! Pipes alternatives teams use today, and explains why Import.io is the best modern upgrade for turning websites into structured, usable data.

Big Data Tools in 2026: Complete Guide to Modern Data Platforms

A practical look at the modern stack for collecting, storing, and delivering external web data, including where managed services fit and where they don't.

What Is the Digital Shelf? Definition, Components & 2026 Guide | Import.io

In 2026, the digital shelf is the front line of ecommerce performance. This guide explains how brands win across Discover, Consider, and Decide by optimizing search visibility, content accuracy, reviews, pricing, and availability across retailers and marketplaces.

How to Extract Data From Websites Without APIs

In 2026, many high-value websites still don’t offer APIs, but modern teams can’t afford data blind spots. This guide explores how to extract structured data from any website using no-code tools and managed services. Whether you’re tracking competitor pricing, scraping reviews, or monitoring product changes, learn how to build scalable, compliant data pipelines without writing a single line of code.

What Is an Image URL? How to Find and Use Image Links

Image URLs play a critical role in modern data projects. Learn what an image URL is, why it matters for web data extraction, and how teams use visual data for AI, eCommerce, and analytics.

Public Web Data: Structured, Governed & Enterprise-Ready

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.

Hiring Data Scientists in 2025: Updated Guide & Insights

Building an in-house data team or buying managed delivery is one of the harder decisions for enterprise leaders. Here's how to think about cost, time, and risk.

Web Data to Google Sheets: 2025 Guide & Best Practices

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.

Entrepreneur Tools Beyond the Basics: AI Apps, Market Data, and Workflows

A data company's perspective on the founder toolkit. Covers the operational basics briefly, then goes deeper on the shifts that matter: how AI is reshaping workflows, why founders are building custom applications with vibe coding platforms, and how structured external web data separates guesswork from real market intelligence.

AI Regulation in 2025: A Functional Approach

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.

5 Industries Where Machine Learning Depends on External Web Data

Machine learning is reshaping how decisions are made in education, healthcare, logistics, finance, and retail. This guide covers practical use cases in each industry and explains why external web data quality is critical for reliable ML performance.

Visual data metrics

Data Importance for Business & Society Explained

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.

Visual analytics interface

Web Scraping Service: Scalable Data Extraction Solution

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.

History of Deep Learning

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.

Data Mining vs Data Harvesting

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.

Hassle-Free Amazon Product Scraper for Fast Data Extraction

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

Fast Data Extraction

Pros and Cons of Python Web Scraping for Data Extraction

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

8 Powerful Examples of Data Storytelling for Better Visuals

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.

Data visualization

What Is Data Analysis and Why It Matters for Data Driven Businesses

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 Normalization: How Clean Data Improves Analytics Accuracy

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.

AI-Native Web Data Integration | Import.io

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 on Hacker News: Key Questions Answered

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.

Data Predictions from 2016

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.

Create a word cloud in seconds using Import.io.

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.

Create Custom Word Clouds with Import.io + Tagul

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.

How Import.io Doubled Usage with Data Magic

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.

import.io Visualizes Death Penalty Trends

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, powered by import.io data, wins the SVC2UK Startup Weekend

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.

Analytics insights screen

Data Sourcing Explained: Best Practices, Tools & Challenges for Analysts

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.

Web Data Extraction for Financial Analysts in 2026 | Import.io

Web data extraction has become a core part of how modern financial analysts work. Here is how pricing intelligence, AI, and managed data delivery are reshaping research workflows in 2026, and where Import.io Aperture fits in.

Web Scraping Explained | How It Works for Data Teams

A practical guide to web scraping: how automated data extraction works, where businesses apply it in pricing, research, and competitive intelligence, and why many teams are shifting toward managed web data platforms.

Data visualization

Discover News Article Data Extraction Tools & Methods

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.

Real-time data metrics

Web Scraping Legal Guidelines for Safe Data Extraction

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.

Collaborative data planning

Data Aggregation: Examples & Applications Across Industries

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.

Structured data insights

What is Data and Why It’s Important

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.

Data visualization

Data Normalization: Importance & Benefits Explained

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.

Data-driven meeting

Image URL Extraction Techniques for Accurate Data

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.

How to Get Data From a Website: A Practical Guide | Import.io

A practical guide to getting data from a website. Walks through the main extraction approaches, when to use each, and a step-by-step tutorial for pulling product, price, and listing data without writing code.

Market data

Ecommerce Pricing Strategy: Key Insights for Brands & Retailers

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.

Brand Comparison Monitoring for Ecommerce | Import.io

Shoppers and AI assistants constantly compare your brand against whatever sits beside it online. This 2026 guide covers the surfaces where those comparisons happen and how to monitor them.

Product Page Insights That Drive Conversions

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.

E-commerce marketplace overview

How Analytics Vendors Source Digital Shelf Data

Platforms, consultancies, and agencies use digital shelf data to power dashboards, advisory work, and white-label products. See how the data flows.

Web Scraping Service: Better E-commerce Data Extraction

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.

Data-driven insights

E-Commerce Data Scraping 2023: Step-by-Step Guide

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.

Customer Review Scraping: Methods, Uses & Tools (2026)

Customer reviews contain some of the most actionable data available to e-commerce teams. This guide covers the business reasons behind review scraping, where brands collect review data, and the operational challenges of doing it reliably at scale.

Data visualization review

Top Workplace Award: Import.io Honored by Silicon Review

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.

What does Import.io do?

Import.io turns any website into structured, decision-ready data. It provides pricing intelligence for retail and brand teams (competitor price monitoring, MAP compliance, availability and assortment), managed and self-service web data extraction, and Aperture, its pricing intelligence platform. Teams use it to track markets in real time and feed clean data into their own dashboards, APIs or warehouses.

What is pricing intelligence?

Pricing intelligence is the practice of tracking competitor prices, promotions, availability and assortment across retailers and marketplaces, then turning that data into decisions. It goes beyond simple price tracking by structuring and normalising the data so teams can compare like-for-like, spot MAP violations, and respond to market changes quickly.

How much does Import.io cost?

Self-service plans start at $199 per month billed annually ($249 month-to-month) for 50,000 successful queries, with Professional at $399 and Advanced at $699. There is a free 30-day trial with no credit card required. Aperture pricing intelligence and Managed Web Data are quoted based on your products, retailers and regions. You only pay for successful queries.

Is Import.io only for enterprise customers?

No. Import.io has self-service plans starting at $199 a month that you can sign up for directly, with a 30-day free trial and no sales call required. Enterprise contracts are available for larger volumes or dedicated infrastructure, but they are an option, not a requirement.

Is Import.io still operating?

Yes. Import.io is active and operating in 2026 as part of the Neuralogics group, serving leading global brands with web data extraction and pricing intelligence, and actively developing new products including Aperture and the Web Scraper MCP.

What is the difference between Import.io and Aperture?

Import.io's self-service plans are for web data extraction, where you build extractors and pull structured data. Aperture is the pricing intelligence layer on top: competitor price monitoring, MAP compliance, product matching and digital shelf monitoring, delivered as answers rather than raw rows. You can start with extraction and add Aperture when you need pricing intelligence.

Which websites can Import.io extract data from?

Most public websites and marketplaces. Import.io handles dynamic pages, difficult targets and anti-bot protection through browser automation and proxy routing, and delivers clean, normalised data via dashboards, files or API.

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