Best Data Extraction Tools - Page 16

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)

Intake & Orchestration Platform

Indico is the Intake & Orchestration Platform built for insurance. It provides the operations layer that modernizes how work enters and moves through the enterprise across underwriting, claims, and policy servicing. The platform ingests complex, unstructured inputs such as submissions, emails, spreadsheets, loss runs, statements, claims packets, and attachments. Indico then enriches, validates, and transforms that information into clean, complete, decision-ready outputs that flow to the right people, workflows, and core systems. With Indico, insurers can: Automate intake and normalization across documents, emails, spreadsheets, and other inbound channels Enrich and validate data for completeness, accuracy, and consistency Triage and route work based on content, priority, and business rules Coordinate workflows across teams, platforms, and systems Maintain human-in-the-loop review, auditability, explainability, and governance Increase throughput and operational capacity without adding resources at the same rate Unlike narrow document-processing or extraction tools, Indico governs the flow of work from intake through downstream action. It connects unstructured data processing with the decisions, systems, and teams required to keep complex insurance workflows moving. By reducing manual intake, triage, and coordination, Indico helps insurers improve accuracy, accelerate cycle times, scale operations, and reduce operational drag across the enterprise. Indico was recognized as a Leader in Everest Group’s 2026 Insurance IDP PEAK Matrix® Assessment.

Who Is the Company Behind Intake & Orchestration Platform?

  • Seller: Indico Data
  • Year Founded: 2013
  • HQ Location: Boston, Massachusetts, United States
  • LinkedIn® Page: www.linkedin.com
    88 employees on LinkedIn®

Intelligent Data Extraction & Tagging Tool

Our AI-powered solution optimizes data extraction and analysis from documents, allowing secondary research analysts to quickly and accurately retrieve metrics and answers while reducing time spent on manual tasks. This technology enhances the efficiency of several ESG data products for our clients by providing a streamlined and effective data collection system.

Who Is the Company Behind Intelligent Data Extraction & Tagging Tool?

  • Seller: SG Analytics
  • Year Founded: 2007
  • HQ Location: Pune, Maharashtra, India
  • Twitter: @SGAnalytics
  • LinkedIn® Page: www.linkedin.com
    1,794 employees on LinkedIn®

Intelligent Document Processing (iDP)

Intelligent Document Processing (IDP) for Customs is a specialised category of software that solves the biggest challenge in global trade: data entry, by leveraging Artificial Intelligence (AI) and Optical Character Recognition (OCR) to completely automating the process of trade paperwork. IDP systems employ sophisticated machine learning to quickly read and capture complex, unstructured data from diverse sources - such as commercial invoices, packing lists, and bills of lading - and transform it into clean, validated, and structured data. The core function is to eliminate the costly, error-prone manual entry traditionally required to populate customs declaration forms and ensure compliance with global regulations. By automating this step, IDP accelerates customs clearance, ensures universal data consistency across all shipments, and provides essential, secure audit trails by maintaining a secure, traceable repository of all source documents. This solution is indispensable for high-volume importers, exporters, and logistics providers seeking to master compliance and drive operational efficiency.

Who Is the Company Behind Intelligent Document Processing (iDP)?

  • Seller: iCustoms
  • Year Founded: 2022
  • HQ Location: London, GB
  • Twitter: @iCustoms_AI
    95 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    66 employees on LinkedIn®
  • Ownership: iCustoms

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InvoiceParser Pro

InvoiceParser Pro is invoice and bill capture with the math checked, for accounting firms, bookkeepers, accounts payable teams and small businesses. Freight and logistics is one supported audience. Upload digital or scanned PDFs and phone photos, or forward them to an email-in address. IPP extracts the header fields and every line item without vendor templates or a training phase, then checks the arithmetic: each line's quantity times unit price, the lines against the subtotal, the tax against its printed rate, and subtotal plus tax against the total. A mismatch is flagged with the invoice's own numbers. Every field shows High, Medium or Low confidence; possible duplicates are flagged for a person to decide and are never deleted automatically; supplier statements are flagged rather than treated as bills. Review each bill beside the original page and approve it. On paid plans, approved bills are pushed to QuickBooks Online, Xero or Zoho Books. Nothing is pushed without an approval, and editing a money field on an approved bill withdraws the approval. Excel exports contain every line item; CSV exports contain one row per invoice. Clients are folders inside one workspace, each with its own email-in address, with one accounting connection per provider. Pricing: Free includes 25 invoices a month and one user, with line items. Starter is $79/month (200 invoices, 3 users); Team is $249/month (1,000 invoices, unlimited users, multi-step approvals); Scale is $599/month (5,000 invoices, REST API access). Annual billing saves 20%. Every account starts with a 14-day trial of 50 invoices, no card required. A no-signup tool at invoiceparserpro.com/invoice-to-excel converts up to three invoices a day. IPP also works inside AI assistants: a hosted MCP server lets Claude, ChatGPT (developer mode) and Cursor turn an invoice into a spreadsheet or check whether it adds up. In IPP's own production run on 3 October 2026, 174 of 181 synthetic invoices had every key header field correct, and all five deliberately inconsistent totals were flagged. This was a tuning corpus, not an independent test; the method and the misses are published at invoiceparserpro.com/accuracy.

Who Is the Company Behind InvoiceParser Pro?

Invoices to Spreadsheets

Invoices to Spreadsheets converts batches of supplier invoices into an editable, spreadsheet-style workspace organised by project. Drop in PDFs, scans or phone photos; every invoice becomes a row with supplier, invoice number, dates, subtotal, VAT and total, and every printed line item becomes a row in a linked line-items table. Values are checked arithmetically and shown beside the original document so you can correct before you trust them. Search, filter and group across a project, then export Excel or CSV. Built for builders, property developers, bookkeepers, accountants and small businesses that need the data, not another accounting system. Seven-day, 200-document free trial, no card. Flat monthly plans by document count; line items included on every plan.

Who Is the Company Behind Invoices to Spreadsheets?

IQUALIF

IQUALIF CPE extracts 40% more contacts than our competitors. A real advantage in terms of time and efficiency.

Who Is the Company Behind IQUALIF?

iScraper

iScraper provides a real time API to access LinkedIn personal and company profiles data at scale. Forget managing browsers and rotating proxies. Our API lets you harvest LinkedIn data at scale and in a clean, usable JSON format.

Who Is the Company Behind iScraper?

Kaddara

For most businesses, it is vital to be able to collect online data to drive sales, improve product offerings and gain market understanding. Kaddara helps you collect the data you need with one click whenever you need it. The Kaddara platform lets you select from hundreds of sources with its pre-built templates. Half of the templates are designed to help you collect B2b leads; the other half is made to help you collect price and product data. The data is saved as Excel files, ready to be imported to any business system.

Who Is the Company Behind Kaddara?

  • Seller: Kaddara
  • Year Founded: 2021
  • HQ Location: Virum, DK
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®

Kavunka

Smart Search Engine and Powerful Web Scraper for Linux Server Installation. Thanks to this software, you can deploy on your home PC or remote server the small search engine for enterprise search or integrate search into your site.

Who Is the Company Behind Kavunka?

Kloud Scrapes - Web Scraping

Kloud is a service-oriented data agency that delivers customized data solutions without the need for coding or technical know-how. Our dedicated project managers work closely with our clients to understand their data needs, from the targets and countries they want to analyze, to the frequency and delivery format they prefer. With Kloud, our clients can simply sit back and focus on their core business while we take care of their data needs. Trust us to deliver reliable, accurate, and actionable insights, all while providing top-notch service and support. Let us help you turn your data into a strategic advantage.

Who Is the Company Behind Kloud Scrapes - Web Scraping?

Konbert

Konbert is an AI-powered platform designed to simplify data handling by enabling users to convert, extract, and analyze data across various formats without requiring technical expertise. It supports a wide range of file types, including CSV, JSON, Excel, PDF, and images, facilitating seamless data migration and transformation. With both web-based and desktop applications, Konbert offers flexible solutions for diverse data processing needs. Key Features and Functionality: - Data Conversion: Supports conversion between over 15 file formats, such as CSV, JSON, Excel, Parquet, and Avro, allowing users to transform data to suit different requirements. - Document Extraction: Extracts structured data from documents like PDFs and images, automating the process to save time and improve accuracy. - AI-Powered Data Cleaning and Enrichment: Cleans, transforms, and enriches data by removing duplicates, filling missing values, standardizing formats, and adding context. - Interactive Data Viewing: Provides an intuitive spreadsheet interface for easy navigation, sorting, and filtering of data. - Graph and Chart Creation: Utilizes AI to generate graphs and charts from data, aiding in visualization and analysis. - Offline Desktop Application: Offers a desktop app for offline file conversion, ensuring data privacy and allowing unlimited conversions without size limits. Primary Value and User Solutions: Konbert addresses the challenges of data conversion, extraction, and analysis by providing a user-friendly platform that automates complex processes. It eliminates the need for technical skills, enabling users to handle data efficiently and accurately. By supporting multiple file formats and offering both online and offline solutions, Konbert caters to a wide range of users, from individuals to large organizations, streamlining workflows and enhancing productivity.

Who Is the Company Behind Konbert?

  • Seller: Konbert
  • Year Founded: 2016
  • HQ Location: Barcelona, ES
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

KontoCSV

KontoCSV is a cloud-based data extraction tool that converts PDF bank statements into structured CSV or Excel files for accounting and bookkeeping purposes. The software is designed primarily for the DACH market and focuses on bank statement formats commonly issued by German financial institutions. It is used by tax accountants, bookkeepers, and small businesses that need to transfer transaction data from non-editable PDF documents into digital accounting systems. Many banks provide account statements only in PDF format, which can limit direct data reuse. KontoCSV addresses this by extracting transaction-level information such as booking dates, value dates, transaction texts, counterparties, and amounts. The system applies automated text recognition and structured parsing methods to interpret the layout of bank statements and convert the content into tabular data. The resulting output can be downloaded in CSV or Excel format, depending on the selected export profile. Users can upload individual PDF files or process multiple statements in batch mode. When several files are uploaded at once, the system processes each document separately and provides the results either as individual downloads or as a consolidated ZIP archive. This functionality is intended to reduce manual processing time when handling recurring monthly statements or multiple bank accounts. KontoCSV offers different export configurations to improve compatibility with established accounting software solutions. These include a standard bank CSV format as well as structured exports aligned with DATEV Buchungsstapel, Lexware Office, and BuchhaltungsButler. The goal of these predefined formats is to minimize additional formatting work before importing data into accounting systems. The platform operates as a hosted web application and does not require local installation. Users access the service through a browser interface. The system includes a transaction history area where previously processed files can be reviewed and re-downloaded within a limited retention period. Uploaded source files and generated exports are automatically deleted after seven days. According to the vendor, the infrastructure is hosted within the European Union. Data transmission is encrypted, and the service is designed to align with GDPR requirements. The application does not require permanent storage of financial documents beyond the defined retention window. KontoCSV is positioned within the broader category of data extraction tools and document processing solutions. Its primary use case is converting structured financial information from PDF bank statements into machine-readable formats that can be integrated into bookkeeping workflows. It is intended for users who need a repeatable and standardized method of transferring transaction data from bank-issued PDFs into accounting environments without manual retyping.

Who Is the Company Behind KontoCSV?

Kudra

Kudra is an AI-powered data extraction tool that effortlessly extracts critical data fields, tables, relationships, and summaries from various document types with just one click. It offers customizable AI models, seamless workflow integration, and pre-built templates for multiple industries including finance, supply chain & logistics, legal, and human resources, transforming unstructured data into actionable insights.

Who Is the Company Behind Kudra?

Lasso

Turn messy ecommerce data into enhanced product listings with AI. Import raw files in any format. AI maps them to your structure, finds missing information on the web, enriches attributes, generates on-brand descriptions, and perfect catalog images. Your team only reviews and approves to save time and improve data quality.

Who Is the Company Behind Lasso?

  • Seller: Bandits
  • Year Founded: 2025
  • HQ Location: Prague, CZ
  • LinkedIn® Page: www.linkedin.com
    4 employees on LinkedIn®

Lection

Lection is an AI web scraper for Chrome. Open any page, describe the data you want in plain English ("company name, rating, phone and website for every result"), and Lection builds the table for you, including pagination and detail pages. It runs in your own browser, so it works on pages you are logged into, with no API keys or code. When you need the data again, save it as a schedule: Lection re-runs it daily, weekly or hourly and delivers new rows to Google Sheets, Airtable, Notion, email or a webhook (n8n, Make, Zapier, Pipedream). Free one-click tools cover common jobs: export Instagram comments, followers and following lists, LinkedIn connections, Google Maps businesses, YouTube comments and HTML tables to Excel or CSV. Common uses: lead lists from directories and Google Maps, competitor price and listing tracking, social media reporting and giveaway comment exports, and research datasets.

Who Is the Company Behind Lection?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026