Data Extractor Online
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The data extractor parses unstructured text client-side using regular expressions to extract emails, URLs, phone numbers, IPv4 addresses, hashtags, and numbers. It filters duplicates, sorts entries, and formats output as comma-separated values, newline lists, or JSON arrays. Everything runs locally in browser memory, protecting customer contact lists and private logs from data leaks.
Extract emails, URLs, phone numbers, IP addresses, hashtags, and dates from unstructured text with live match highlighting, deduplication, and CSV/JSON export.
Runs in your browser
Your files and text are processed locally in your browser and are not uploaded.
How Does Pattern-Based Data Extraction Parse Unstructured Text?
Supported Extraction Categories: The extractor recognizes and pulls 8 distinct data patterns simultaneously:
Emails (with case-insensitive deduplication), URLs & Links (HTTP and HTTPS web addresses including query parameters and hashes), Phone Numbers (supporting Indian formats like '+91 98765 43210' and international E.164 formats), IP Addresses (IPv4 addresses like 192.168.1.1), Hashtags (#marketing, #seo), @Mentions (@username), Dates (common formats like YYYY-MM-DD, DD/MM/YYYY, MM/DD/YYYY, and DD-MM-YYYY), and Numbers (integers and decimal floats).Case-Insensitive Email Deduplication: Standard deduplication evaluates exact character codes, meaning '[email protected]' and '[email protected]' are treated as distinct entities. In the real world, email addresses are case-insensitive. Our engine normalizes email addresses to lowercase before deduplicating, ensuring your final lead list contains zero duplicate contacts.
Interactive Match Highlighting: Toggle between the raw text editor and the 'Highlight Matches' visual mode. The live preview highlights every matched entity directly within your source document using category-specific color pills, allowing you to instantly see context, verify regex accuracy, and spot unparsed text anomalies.
Custom Sorting & Granular Filtering: Use the multi-select checkbox panel to toggle any combination of categories. Sort extracted results alphabetically (A–Z) or in reverse (Z–A) with natural numerical ordering. Inspect categorized counts with dedicated category tabs or view all extracted entities in a consolidated summary.
Export to CSV & Structured JSON: Export your sanitized data with one click. Download a clean two-column spreadsheet (
extracted_data.csv) ready for Microsoft Excel or Google Sheets, or generate a structured JSON file (extracted_data.json) grouped by category for instant API integration and database seeding.100% Client-Side Privacy: Client contact lists, customer emails, internal server IP addresses, and private phone numbers must never be exposed to cloud third-party APIs. Every regex search executes strictly in your local browser JavaScript engine. No text is ever uploaded, cached, or transmitted across the network.
A Data Extractor applies targeted Regular Expressions (Regex) across unstructured text to detect, isolate, and deduplicate structured entities—such as emails, website URLs, phone numbers, IP addresses, hashtags, mentions, and dates—exporting them into clean lists, CSV spreadsheets, or JSON files.
Definition: Pattern Data Extraction
The automated process of parsing unstructured textual data using Regular Expressions to identify, isolate, deduplicate, and export specific syntactic patterns (such as email addresses, hyperlinks, or phone numbers) into organized datasets.
What Regex Entity Patterns and Output Formats Are Extracted?
Required Inputs
- Unstructured Source TextAny text block, copied webpage, server log, or document containing embedded contact details.
Expected Outputs
- Categorized Results ViewDeduplicated, sorted lists of extracted items organized by entity type.
- Interactive Highlight PreviewColor-coded visual display highlighting matched entities inside the original document.
- CSV Spreadsheet DownloadTwo-column CSV export containing Category and Extracted Value for spreadsheet software.
- JSON Data ExportStructured JSON file with entity arrays ready for programming workflows.
Who Uses the Data Extractor?
B2B Lead Generation & Outreach
Extract clean, deduplicated lists of prospect email addresses and phone numbers from copied conference attendee lists and directories.
SEO Link Auditing & Scraping
Pull all outbound and internal URLs from web page source code to audit broken links or catalog competitor backlink targets.
Network Security & Log Analysis
Isolate IPv4 addresses from firewall, Nginx, or Apache server error logs to detect unauthorized access attempts and configure IP blocklists.
Social Media Campaign Monitoring
Gather viral hashtags (#campaign) and influencer account handles (@handle) from social media post transcripts and comment threads.
How Do You Extract Emails, URLs, and Numbers From Raw Text?
- 1Paste your raw unstructured text, document, or log into the Source Text area.
- 2Use the 'Data Types to Extract' checkboxes to choose which categories to scan (e.g., Emails, URLs, Phone Numbers, IP Addresses).
- 3Optionally toggle 'Deduplicate items' and choose an A–Z sorting order.
- 4Click 'Highlight Matches' to see matched entities highlighted directly in the source text.
- 5Click 'Copy' on any category, or click 'Export CSV' / 'Export JSON' to download your structured data file.
Regex Pattern Specifications and Client-Side Text Capacities
Privacy & Security Guarantee
All extraction runs locally. We do not harvest or store any emails, numbers, or text.
Frequently Asked Questions
How does case-insensitive email deduplication work?
Email domain routing treats uppercase and lowercase characters identically (e.g., '[email protected]' delivers to '[email protected]'). Our extractor lowercases email addresses during duplicate detection, ensuring you never end up with duplicate contacts in outreach spreadsheets.
Can the extractor detect Indian mobile and telephone numbers?
Yes. The telephone regex matches standard 10-digit Indian mobile numbers beginning with 6, 7, 8, or 9, both with and without prefixes like '+91', '0', spaces, and hyphens (e.g., '+91 98765 43210' or '9876543210').
What is the difference between CSV and JSON export?
The CSV export formats data into rows with 'Category' and 'Extracted Value' columns, ideal for Microsoft Excel, Google Sheets, and CRM importers. The JSON export structures data into key-value arrays ({ emails: [...], urls: [...] }), ideal for developers and API pipelines.
What date formats does the tool recognize?
The date extractor detects common ISO and regional date formats including YYYY-MM-DD (e.g., 2024-03-15), DD/MM/YYYY, MM/DD/YYYY, and hyphenated variations like DD-MM-YYYY.
Is it safe to paste proprietary customer lists or server logs?
Yes, 100%. The extraction pipeline runs entirely client-side in your browser's local memory sandbox. No text, contacts, emails, or IP addresses are ever sent to our servers or stored in any database.