Best Data Extraction Tools - Page 10

VeloX Software Suite

Velox Software Suite enables Data Migration and System Integration throughout the entire organization. The suite consist of two applications: Migration Studio (VXm) - for user-controlled data migrations; Integration Server (VXi) - for automated data processing and integration.

Average Rating: 4.5/5.0

Total Reviews: 1

Web Email Extractor

Web Email Extractor is a very simple powerful online email scraping software that helps to find email addresses from any website. You don't need to download any email extractor software. No installation required due to it is an online email extractor software.

Average Rating: 5.0/5.0

Total Reviews: 1

zenscrape

Web Scraping API: Data Extraction at Scale & Without Getting Blocked Our web scraping API handles all problems that are related to web scraping. Website HTML extraction has never been so easy! 100% what users see Javascript Rendering Free Plan Fair Pricing

Average Rating: 4.5/5.0

Total Reviews: 1

ADEx

Purpose-Built Document Automation for the Real Estate Industry. Power business growth and improve profitability. ADEx’s deep industry expertise, pretrained libraries, tools and calculators enable more thorough document automation to meet increases in demand without increasing costs or headcount. Designed to deliver more comprehensive results, accelerating time-to-value and delivering better, faster ROI. Seamlessly plugs into your end-to-end enterprise systems via APIs that automatically consume your documents and push structured data to your enterprise software, replacing manual processes end-to-end.

Alactic AGI

Alactic AGI (Advanced Grounding & Ingestion) is a fully automated AI data engine that ingests unstructured content such as URLs, PDFs, and documents and produces high-quality, structured datasets suitable for fine-tuning and grounding large language models. The problem Preparing AI training data is slow, manual, and error-prone. Teams rely on fragile scripts, ad-hoc pipelines, and manual validation, which limits scale and consistency. How it works Alactic AGI is deployed directly into the customer’s Azure subscription as a managed application. It processes data securely within the customer’s environment and outputs production-ready datasets in standard formats such as JSONL. Key benefits • Fully automated ingestion and structuring • Azure-native deployment • Scales from small experiments to large datasets • No shared infrastructure or data leakage

Amazon Scraper API

AnnuCapt

APIFull

APIFull offers an online Web Scraping API handling headless browsers and rotating proxies for you. APIFull uses modern Web Scraping techniques to enable businesses to take unstructured data on the world wide web and turn it into structured data.

Aspen Tech Labs

Aspen Tech Labs is a global leader in web data management services and recruitment technology solutions. They provide job board software, and career site software for different companies worldwide. Their expertise also encompasses web scraping, data management, business intelligence, and analytics, enabling organizations to unlock the full potential of their data. With an extensive range of offerings, they empower businesses across various industries with cutting-edge technology, tools, and data-driven solutions.

Average Rating: 5.0/5.0

Total Reviews: 1

Bank Statement Converter

Open Success Convert extracts transactions from bank and financial statements (PDF, scanned PDF, JPG, PNG) into Excel, CSV, QIF, and accounting-ready exports. Built for accuracy on real-world, multi-page, multi-account, and multi-currency statements — including messy scans that other converters stall on. It automatically validates extracted results, so you can trust the output without manually re-checking every row. Try 5 pages free, no signup required.

Bank transaction data enrichment and categorisation engine

gini's Bank Transaction Data Enrichment and Categorisation Engine is a sophisticated solution designed to transform raw bank transaction data into structured, meaningful insights. By leveraging advanced machine learning algorithms, it accurately categorizes transactions, providing financial institutions with a comprehensive understanding of customer spending behaviors. This enables enhanced decision-making, personalized customer experiences, and improved operational efficiency. Key Features and Functionality: - Automated Transaction Categorization: Utilizes machine learning to classify transactions into specific categories, reducing manual processing and increasing accuracy. - Data Enrichment: Enhances transaction data by adding contextual information such as merchant names, locations, and spending patterns, offering a clearer picture of customer activities. - Real-Time Processing: Processes large volumes of transaction data in real-time, ensuring timely insights for immediate decision-making. - Scalability: Designed to handle high transaction volumes seamlessly, making it suitable for financial institutions of various sizes. - Integration with AWS: Available through AWS Marketplace, allowing for easy deployment within existing cloud infrastructures without additional hardware investments. Primary Value and Problem Solved: gini's engine addresses the challenge of unstructured and ambiguous transaction data that financial institutions often face. By automating the categorization and enrichment process, it provides a clear and detailed view of customer financial behaviors. This empowers institutions to offer personalized services, enhance risk assessment models, and improve customer engagement. Additionally, the solution reduces operational costs associated with manual data processing and accelerates the development of data-driven financial products.

BasedOnBusiness

Batch Data Collector

bem

Bem is production infrastructure for unstructured data. Our platform transforms documents, PDFs, images, scans, emails, spreadsheets, and other unstructured files into structured, schema-validated JSON through a secure, API-first pipeline built for regulated industries. Organizations in financial services, insurance, healthcare, and logistics use Bem when business-critical workflows depend on unstructured data, whether that's processing trust documents, extracting controls from compliance reports, automating claims intake, or digitizing logistics paperwork. Teams define a schema once and reuse it across millions of documents, regardless of layout or format variation. Under the hood, Bem routes each document through the right combination of vision, language, and embedding models, selected automatically from over 18 options. The platform enforces type-safe schema contracts, runs confidence scoring on every extraction, and provides full observability into every processing step. Nothing is a black box: every decision is traceable, every output is auditable. When accuracy matters, Bem's human-in-the-loop review and self-training pipeline means the system improves continuously from corrections made during day-to-day operations. Customers start with a baseline and measurably improve over time, with regression analysis to track the delta. Bem deploys on your terms. Run it as a managed cloud service, connect via private link within your VPC, or deploy on-premises. Multi-cloud and multi-region portability means no vendor lock-in and no data egress when that's a requirement. Compliance, data sovereignty, governance, encryption, and retention policies are built in, not bolted on. Teams get started in minutes through a no-code workflow builder or a full REST API, with no lengthy onboarding or custom implementation required.

BI Table Exporter