Best Data Extraction Tools - Page 18

How Many Data Extraction Tools Products Does G2 Track?

Total Products under this Category: 379

Category Stats (Oct 2026)

  • Average Rating: 4.58/5 (↑0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: FourA (+5.56%) - Among all products in this category, FourA recorded the largest rating increase compared to last month

Last updated: October 19, 2026

How Does G2 Rank Data Extraction Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 9,400+ Authentic Reviews
  • 379+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data Extraction Tools

G2 Grid® for Data Extraction Tools plotting products by satisfaction and market presence

Highlighted products: Apify, Fivetran, Oxylabs, Bright Data, IPRoyal, Boomi Data Integration, Decodo (formerly Smartproxy), and NetNut.io.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-extraction-tools/grids.json?focus%5B%5D=apify&focus%5B%5D=fivetran&focus%5B%5D=oxylabs&focus%5B%5D=bright-data&focus%5B%5D=iproyal&focus%5B%5D=boomi-data-integration&focus%5B%5D=decodo-formerly-smartproxy&focus%5B%5D=netnut-io)

NetMind ParsePro

NetMind ParsePro: Ultra-Accurate, Lightning-Fast PDF Parsing for AI-Native Workflows NetMind ParsePro is a next-generation PDF parsing tool designed for the demands of modern, AI-native applications. Traditional parsers were built for human eyes. ParsePro is built for intelligent systems. With a single API call, it transforms unstructured PDFs into clean, structured outputs, available in either Markdown or machine-readable JSON, ideal for feeding into AI agents, LLM pipelines, or automation workflows. For parsing financial disclosures, academic records, legal filings, technical manuals, or compliance documents, ParsePro consistently extracts rich content. That includes full text, structured tables, inline diagrams, embedded images, and even digital signatures. All of this is captured with layout integrity preserved for intuitive downstream review, whether by humans or machines. It’s also fully MCP-ready. ParsePro plugs directly into NetMind’s Model-Context-Protocol (MCP) framework, enabling large language model (LLM) agents to reason over document data at scale. From ingestion to inference, every component is optimized for speed, modularity, and zero-friction deployment. How ParsePro Stacks Up Most PDF parsers break down when accuracy and structure matter most. Common issues include: - Breaking or flattening tables - Clipping visuals, charts, or embedded URLs - Skipping digital signatures or watermarks - Ignoring key formatting, indentation, or structure - Outputting noisy or incomplete markup ParsePro addresses each of these shortcomings directly: - Extracts full tables, charts, diagrams, and signatures in a single pass - Maintains structural fidelity for better indexing, searching, or retrieval - Preserves layout and visual hierarchy, even in complex reports and filings - Produces developer-ready output optimized for downstream models It’s not just better, it’s dramatically more cost-effective. ParsePro delivers industry-grade parsing at up to 97% lower cost than leading cloud-based PDF services, with no compromises in reliability or throughput. You can process thousands of documents quickly, without ballooning your cloud spend. Powered by the MCP Hub ParsePro is part of the broader NetMind MCP ecosystem. The MCP Hub offers developers a modular suite of AI-native services, all designed around context awareness and composability. You can parse a document, then immediately route it to a summarizer, sentiment classifier, evaluator, or logic agent, no glue code, no manual overhead. MCP handles orchestration so you can focus on outcomes. With ParsePro, each document becomes a structured asset, ready to fuel your AI stack. Get Started with the Elevate Program If you’re a startup, research team, or AI builder, NetMind offers free credits through our Elevate Program. Elevate gives you immediate access to ParsePro and other core infrastructure tools, plus early previews of upcoming products, support from our technical team, and community resources. Built by NetMind At NetMind, we’re building the infrastructure layer for agent-native systems. Our mission is to equip developers with tools that are fast, modular, interoperable, and future-proof. ParsePro is one of those tools. Whether you’re building compliance workflows, AI copilots, or knowledge indexing engines, ParsePro turns static PDFs into dynamic, machine-readable intelligence. Try it now for free at: netmind.ai/AIServices/parsepro

Who Is the Company Behind NetMind ParsePro?

  • Seller: NetMind.AI
  • Year Founded: 2021
  • HQ Location: London, GB
  • Twitter: @NetmindAi
    45,991 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    31 employees on LinkedIn®

Nextraxion

Nextraxion is an AI document data extraction platform built for teams that process high volumes of contracts, NDAs, agreements, and structured documents. Instead of manually copying data from documents into spreadsheets, teams upload document batches, define the fields they need, and let the AI extract everything automatically — with a confidence score attached to every result. The platform's Validation Queue surfaces only the extractions that need human attention, so teams spend minutes reviewing instead of hours. Available on credit-based pricing with no seat fees, free trial included. Learn more at nextraxion.com

Who Is the Company Behind Nextraxion?

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How it works

Nstdata

Nstdata is a web data platform combining global proxy services, AI-driven website crawling, and proxy management tools. It enables large-scale data collection, automation workflows, and AI pipelines through three components. The global proxy network offers real residential IPs across countries, supporting proxy types like residential, datacenter, ISP, and mobile proxies. The crawling feature converts websites into structured formats like JSON, HTML, and PDF via a single API, handling JavaScript, internal links, and complex pages with control over crawl depth. The proxy manager centralizes proxy pools, routing rules, and traffic logs via a dashboard, enabling flexible routing and monitoring of latency, traffic, and failures. Nstdata integrates with multiple programming languages and provides API documentation for seamless deployment.

Who Is the Company Behind Nstdata?

Nuix Neo Data Privacy

The Nuix Neo Data Privacy Solution is a comprehensive platform designed to help organizations manage and protect their sensitive data. It enables businesses to identify, organize, and safeguard confidential information, ensuring compliance with evolving data privacy regulations.

Who Is the Company Behind Nuix Neo Data Privacy?

  • Seller: Nuix
  • Year Founded: 2000
  • HQ Location: Sydney, AU
  • Twitter: @nuix
    5,293 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    492 employees on LinkedIn®
  • Ownership: ASX: NXL

Numbo – WhatsApp Contact Extractor

Numbo is a lightweight web-based tool that lets you extract and save unknown WhatsApp contacts in bulk — without installing any app, extension, or providing login access. Designed for marketers, freelancers, and WhatsApp-based businesses, Numbo works by allowing users to upload a screenshot of their WhatsApp Web screen showing chat previews. The tool then detects and lists all unsaved phone numbers, so users can copy, save, or export them with ease. No sign-up required No access to your WhatsApp account Works on both desktop and mobile Completely browser-based and privacy-respecting Ideal for Facebook Ads, click-to-WhatsApp campaigns, and lead management Whether you're a digital agency handling client campaigns or a small business owner selling via WhatsApp, Numbo helps you organize your leads faster and more securely. Website: https://numbo.cc

Who Is the Company Behind Numbo – WhatsApp Contact Extractor?

NZBN Lookup Premium for Dynamics 365

NZBN Lookup Premium connects Dynamics 365 directly to the official NZBN Register, allowing users to verify New Zealand businesses instantly. Search by NZBN or Company Name, preview live results, and populate entity name, trading name, status, and registered address into CRM records. The control offers a modern search bar, configurable field mapping, and inline “no result” feedback — a professional experience for any Dynamics 365 tenant operating in New Zealand.

Who Is the Company Behind NZBN Lookup Premium for Dynamics 365?

Oglama

Oglama is a desktop application that allows users to automate complex web flows. The software is suitable for individuals, small businesses and midsize businesses wanting to automate repetitive web tasks like scraping data, automating sequences of clicks/inputs on websites, scheduling tasks, interacting with web forms, etc.

Who Is the Company Behind Oglama?

  • Seller: Oglama
  • Year Founded: 2024
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

OmniScraper

Extract Data from Any Website Without Writing Code Transform any website into structured data with just a few clicks. The ultimate no-code web scraping solution for marketers, researchers, and data analysts.

Who Is the Company Behind OmniScraper?

OpenParser

Who Is the Company Behind OpenParser?

  • Seller: Macrosoft
  • Year Founded: 1993
  • HQ Location: Bedminster, US
  • LinkedIn® Page: www.linkedin.com
    735 employees on LinkedIn®

OpenProd.io

OpenProd.io is an AI-native product data onboarding platform that turns messy supplier files into clean, PIM-ready data in minutes - not weeks. Built by LemonMind, company with 15 years of experience in PIM implementations across Europe, OpenProd.io solves the most expensive bottleneck in product data management: getting supplier data into yourPIM system. The problem we solve: Product data teams spend an enormous ammount of time on manual product data entry, mapping, and cleanup. Supplier catalogs arrive as chaotic PDFs, Excel files, and XML feeds - each in a different format, language, and structure. Traditional onboarding takes 4-6 weeks per supplier. OpenProd.io reduces that to hours. How it works: - Upload supplier files (PDF, Excel, XML, CSV) or connect via API - AI automatically extracts, maps, normalizes, and enriches product attributes - Every extracted value gets a confidence score - you review only what needs attention - Push validated data directly to your PIM (Pimcore, Akeneo, Ergonode, or custom via REST API) Key capabilities: - AI Extraction Engine - Handles any supplier format. Maps fields, cleans values, normalizes units, generates missing descriptions automatically. - Confidence Scores - Every attribute gets a reliability score. Bulk-approve high-confidence data, focus human review on edge cases. - Pre-run Cost Estimates - See token usage and cost before any AI extraction runs. No budget surprises. - Re-Prompt Engine - Fix 100 errors in 10 seconds. Describe the correction in plain language, AI applies it across all affected products. - MCP Server (Model Context Protocol) - Industry-first: let AI agents talk to your product catalog natively. Query, update, and manage product data through conversational AI. PIM-agnostic by design: OpenProd.io connects to your existing PIM - we don't replace it. Works with every any system with a REST API. OpenProd.io is built for Product Data Managers, PIM Managers, Heads of E-commerce, and Operations teams who are tired of Excel hell and need a scalable, AI-powered approach to product data quality.

Who Is the Company Behind OpenProd.io?

OpenScraper

OpenScraper is a web scraping platform that turns any website into clean, structured data, including sites protected by advanced anti-bot systems. Developers, data teams, growth marketers and AI builders use it to collect web data at scale without managing proxies, headless browsers or CAPTCHA solving themselves. At its core is a managed scraping infrastructure built to get past modern bot protection. Our Web Unlocker handles DataDome, Cloudflare, reCAPTCHA and other anti-bot challenges, renders JavaScript and returns the real HTML of the page. You only pay for successful requests. For high-volume jobs, our Anti-bot Cookies API solves a DataDome challenge once and returns a valid, replayable session (cookie, user agent, headers and TLS profile). You can reuse that session on as many pages as it lasts, from $0.0085 per session, instead of paying a fee per request. On top of this infrastructure, OpenScraper offers ready-to-use scrapers for popular sources. These include a Leboncoin API that delivers real-estate, car and classified ads as structured JSON, a Google Maps scraper for local business data, a Shein scraper and a Sitemap scraper. Results can be exported to Excel or CSV, or sent straight into your own database through our REST API. Built-in tools also find the contact emails websites publish and check whether email addresses are deliverable, for B2B lead generation. OpenScraper is also built for the age of AI agents. Our MCP server (Model Context Protocol) connects the whole platform to Claude, ChatGPT, Cursor, VS Code, Gemini CLI and any MCP-compatible assistant with a single URL. Just ask in plain language, for example "get the latest 3,000 flats for sale in Bordeaux and put them in an Excel file." The assistant probes the site, detects its protection, estimates the cost, shows a live sample and then runs the scrape on our servers. Pricing is simple and transparent: pay as you go, no minimum commitment, and $5 of free credit at sign-up to test the API. A Super User subscription takes 15% off every request. For bespoke needs, our team builds custom scraping solutions on request. OpenScraper: web data extraction, anti-bot bypass and scraping APIs, ready for your code and your AI assistant.

Who Is the Company Behind OpenScraper?

OpenText File Content Extraction

OpenText File Content Extraction is a comprehensive solution designed to identify, extract, and transform content from over 2,200 file formats without requiring the original software. It enables organizations to access and process unstructured data efficiently, facilitating AI and analytics workflows. Key Features and Functionality: - File Format Detection: Accurately identifies file types to prevent misprocessing and optimize CPU usage. - Text Extraction: Retrieves plain text by removing formatting elements, ensuring clean and usable content. - Metadata Access: Extracts metadata such as author details, creation dates, and security classifications. - Rights Management: Recognizes and processes rights-managed files from platforms like Microsoft, Seclore, and SmartCipher. - Character Set Conversion: Automatically determines and converts character sets to UTF-8 for seamless downstream processing. - HTML and PDF Export: Provides high-fidelity HTML previews and archives files in PDF format for consistent document rendering. Primary Value and User Solutions: OpenText File Content Extraction empowers organizations to unlock the full potential of their data by providing uniform and consistent access to unstructured content. By automating the extraction and transformation of diverse file formats, it reduces manual processing time, enhances data accuracy, and ensures compliance with regulatory requirements. This solution is particularly beneficial for software developers, OEMs, and enterprises seeking to integrate robust file processing capabilities into their applications, thereby accelerating time-to-market and enabling informed decision-making through improved data visibility.

Who Is the Company Behind OpenText File Content Extraction?

  • Seller: OpenText
  • Year Founded: 1991
  • HQ Location: Waterloo, ON
  • Twitter: @OpenText
    21,565 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    22,835 employees on LinkedIn®
  • Ownership: NASDAQ:OTEX
Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026