Best Data Extraction Tools - Page 42

xcelify

xExtracta

Month-end bank reconciliation starts with retyping statements. xExtracta® removes that step for Argentine accounting firms: it converts bank statement PDFs into clean Excel files on the firm's own Windows computers, with nothing uploaded to the cloud. Drop in a folder with statements from several banks and clients, and one run returns one Excel per bank: one transaction per row, numeric amounts, normalized dates. Fourteen Argentine formats are supported, each with a dedicated parser for its quirks: Banco Nación doesn't mark debit or credit, Credicoop omits the balance on most lines, BBVA prints dates without a year. Every transaction is categorized, and with the firm's chart of accounts loaded (Excel or PDF), the export carries its own account codes: 32 concepts mapped once per company. Measured: 17,035 transactions in 65 seconds. Free 4-day trial.

xSkrape for SQL Server

We Build Powerful Data Integration Tools

Xtract Universal

Xtract Universal is Theobald Software's universal SAP interface for fast, reliable, and fully automated SAP data integration. Operating as a stand-alone solution, it connects to any SAP system and moves data directly into the destination of your choice — from relational databases and cloud storage to data warehouses and BI/analytics tools like Power BI, Tableau, or Snowflake. With no-code configuration via the Xtract Universal Designer, users can build SAP data extractions in minutes instead of relying on custom ABAP development. Support for tables, BAPIs, SAP BW objects, ODP/OData sources, and near-real-time Change Data Capture (Table CDC) covers virtually every extraction scenario. Built-in monitoring, access controls, and a usage statistics dashboard give teams full transparency and control over their SAP data flows — securely and without disrupting existing SAP infrastructure. Learn more and try it for free: https://theobald-software.com/en/xtract-universal

YouTube Autocomplete API — FlashData

Send a query prefix with language and region inputs to retrieve autocomplete suggestion phrases. Use it for topic exploration or query assistance. Suggestions are not video-search results and do not represent measured search volume. Use the existing REST API, MCP or CLI client. API usage requires a FlashData account, API key and paid Credits. The MIT-licensed client is free to install; API data usage is not a free API. Follow the linked source documentation for the supported inputs, response fields, authentication and current pricing. Documentation: https://flashdata.dev/docs/sources/youtube_suggestions

YouTube Channel Data API — FlashData

Provide a YouTube channel handle to retrieve channel information and recent videos. The video_limit input ranges from 1 to 100; available statistics and other fields may be incomplete. Use it for a channel snapshot rather than assuming a complete historical archive. Use the existing REST API, MCP or CLI client. API usage requires a FlashData account, API key and paid Credits. The MIT-licensed client is free to install; API data usage is not a free API. Follow the linked source documentation for the supported inputs, response fields, authentication and current pricing. Documentation: https://flashdata.dev/docs/sources/youtube_channel

YouTube Transcript API — FlashData

Provide a video ID and language to retrieve available transcript segments with timestamps and fullText. The default source is automatic captions when available. It does not generate speech recognition, translate subtitles or fall back when the required track is missing. Use the existing REST API, MCP or CLI client. API usage requires a FlashData account, API key and paid Credits. The MIT-licensed client is free to install; API data usage is not a free API. Follow the linked source documentation for the supported inputs, response fields, authentication and current pricing. Documentation: https://flashdata.dev/docs/sources/youtube_transcript

YouTube Uploader Captions API — FlashData

Provide a video ID and language to retrieve available uploader-caption segments and fullText. This differs from the transcript capability, which defaults to automatic captions. It does not generate captions, translate tracks or automatically fall back to another source. Use the existing REST API, MCP or CLI client. API usage requires a FlashData account, API key and paid Credits. The MIT-licensed client is free to install; API data usage is not a free API. Follow the linked source documentation for the supported inputs, response fields, authentication and current pricing. Documentation: https://flashdata.dev/docs/sources/youtube_captions

YouTube Video Metadata API — FlashData

Provide a YouTube video ID to retrieve structured video metadata and available chapters or format information. Use it to inspect a video before building a research workflow. Some fields may be missing; this API does not itself download media. Use the existing REST API, MCP or CLI client. API usage requires a FlashData account, API key and paid Credits. The MIT-licensed client is free to install; API data usage is not a free API. Follow the linked source documentation for the supported inputs, response fields, authentication and current pricing. Documentation: https://flashdata.dev/docs/sources/youtube_metadata

YouTube Video Search API — FlashData

Search YouTube by keyword and retrieve structured video results for discovery workflows. The max_results input ranges from 1 to 20; actual results may be fewer. For larger requested result sets, use the separate Extended Search capability. Use the existing REST API, MCP or CLI client. API usage requires a FlashData account, API key and paid Credits. The MIT-licensed client is free to install; API data usage is not a free API. Follow the linked source documentation for the supported inputs, response fields, authentication and current pricing. Documentation: https://flashdata.dev/docs/sources/youtube_search

Yozh scraper

Yozh Scraper is a web data extraction tool designed to help businesses, developers, researchers, and data teams collect structured information from websites efficiently. It simplifies the process of turning online content into usable datasets and supports workflows such as market research, competitor analysis, lead generation, price monitoring, and general web data collection. By helping automate repetitive extraction tasks, Yozh Scraper can reduce manual work and make web data more accessible for analysis and business decision-making. It is suitable for users who need a practical approach to gathering website data without building an entire extraction workflow from scratch.

ZEMA Enterprise

Zema Global delivers data and analytics solutions for companies engaged in the energy, commodities and financial sectors. With unique real time capabilities, we focus on accurate and trustworthy information and insights that enable smarter decisions for risk management, trading and operations. At Zema Global, we power decision-making for some of the largest and most sophisticated organizations across the energy, commodities, and financial sectors. With clients ranging from global energy producers to trading firms, utilities, and financial institutions, our data and analytics solutions are embedded in critical operations worldwide. We take pride in building long-term partnerships grounded in trust, performance, and innovation. Our customers rely on us not just for data – but for clarity, consistency, and confidence in every decision they make.

Zembra

Zembra is an API platform that allows users to fetch review data from publicly available review platforms in a timely manner and returned in a standardized format. Zembra also monitors review data for events like new reviews, new replies, etc. and delivers updates to webhooks reducing unnecessary use of resources. Zembra takes care of cleaning the data and detecting collisions and duplicates. Zembra also collects data from social networks like Facebook, TikTok, and Instagram. Social data could be posts, comments, reactions, etc. Zembra is robust and scalable. It allows users to build features like reputation management, sentiment analysis, and competition analysis.

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ZeraBooks

ZeraBooks is an AI-native general ledger, bank statement converter and done-for-you bookkeeping service for small businesses and accounting firms. The general ledger: upload or forward your bank and card statements and ZeraBooks reads every line, categorizes it, reconciles each statement to the cent and closes the month. Ask Zera, the built-in assistant, answers questions about your books and suggests changes that you approve. Invoices, bills, vendors and reports (profit and loss, balance sheet, trial balance) are included, and firms can run client companies from one login. The converter: turn PDF bank, credit card, check, investment and other financial statements into Excel or CSV, including a QuickBooks-ready CSV. Every file is balance-checked against the statement's opening and closing balances. Done-for-you bookkeeping: our team keeps your books in ZeraBooks. You get a read-only view of your ledger and a portal to upload documents. Pricing: one subscription covers the general ledger and the converter, at $79/month billed annually or $149 month to month, with 1,000 converter pages a month and a 7-day trial. Larger plans add 2,500 or 5,000 pages a month. The bookkeeping service is quoted after a free call. What ZeraBooks does not do: it has no live bank feeds and does not sync with QuickBooks or Xero.

ZeroParse Statements

ZeroParse Statements turns bank and credit card statements into clean, categorized transactions, ready for Excel, CSV, QuickBooks (.QBO) or Xero. Checked, not trusted. After extraction, every statement is compared with the figures it prints about itself: opening and closing balances, column totals, or the running balance beside each row. When they match, it says so. When they don't, it shows exactly which figures disagree and, where it can, which row the difference starts at. When a statement prints nothing to check against, it says that too. No AI. Extraction is deterministic and rule-based: the PDF's own text layer, or OCR for scanned statements, plus layout analysis and pattern matching. There are no AI or LLM models anywhere in the pipeline, so the same statement always gives the same result. Private by design. CSV, Excel and OFX files are read in your browser and never uploaded. PDFs are processed in memory and destroyed when extraction finishes; they're never written to disk. Your documents are never used to train a model. Built for bookkeepers and accountants: drop a year of statements at once and get one combined table, fix any cell before exporting, add your own categorization rules, reconcile a statement against a QuickBooks or Xero ledger export, and build a year-end workbook or a lender's cash-flow summary. Firm accounts can send clients an encrypted upload link. Published benchmark: 83 real bank statements, 77 of which reconcile completely (93%), with the rest published too. Start free: 50 PDF credits when you sign up, no card required. CSV, Excel and OFX are always free.