Extract Data from Text Online

Raw text — log files, scraped web pages, documents, email threads, support tickets — often contains structured data buried within unstructured prose. Extracting all email addresses from a marketing export, pulling all URLs from a block of HTML, or isolating all error codes from a log dump are common tasks that are tedious to do manually but trivial with the right tools. devtoolkit.sh's Extract Emails tool scans any text and returns a deduplicated list of all email addresses found, ready to copy or export. Extract URLs does the same for http and https links, correctly handling URLs in various surrounding contexts including Markdown, HTML, and plain text. The Find and Replace tool handles transformations once you have identified the pattern: replace, delete, or reformat specific strings across large inputs. For patterns beyond emails and URLs — phone numbers, IP addresses, dates, or custom codes — the Regex Tester lets you write and apply any extraction pattern with live feedback.

FAQ

Can the email extractor handle email addresses in HTML?
Yes. The extractor uses a pattern that finds email addresses regardless of surrounding context, including HTML attributes, mailto: links, and plain text paragraphs. HTML entities like @ (the @ symbol) may not be recognized — decode the HTML first.
How does the URL extractor handle Markdown links?
It extracts the raw URL from Markdown link syntax like [text](https://example.com), returning the URL portion. URLs in image references ![alt](url) are also extracted.
Can I extract custom patterns like dates or phone numbers?
Yes. Use the Regex Tester with the global flag to find all instances of a custom pattern. For example, \d{4}-\d{2}-\d{2} extracts ISO 8601 dates, and \b\d{3}[-.\s]?\d{3}[-.\s]?\d{4}\b matches common US phone formats.