Source Text
Extracted Emails
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Email Extractor from Text
Advanced email scraping utility with obfuscation decoding, false-positive filtering, and domain analysis. Extracts and cleanses contacts from raw text, code, or logs.
Configuration
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About
This tool is a specialized parser designed to recover valid email addresses from unstructured data sources such as log files, website source code, or messy document dumps. Unlike basic extractors, this system employs a multi-stage heuristic engine to identify legitimate contact points while filtering out noise.
Accuracy is paramount in data extraction. Standard regular expressions often capture file names (e.g., [email protected]) or placeholder text. This utility integrates a blacklist of file extensions and common false positives, alongside an Obfuscation Decoder that normalizes evasive patterns like name [at] domain [dot] com into valid SMTP addresses. Ideal for developers, marketers, and data analysts requiring high-fidelity contact lists.
email scraper
regex tool
data cleaning
lead generation
obfuscation decoder
Formulas
The extraction logic follows a set-theoretic approach to filtering candidate strings from the raw input stream S.
{
E ∈ Results if match(E) ∧ valid_tld(E)E ∉ Blacklist
Where the validity function f(x) determines if the Top-Level Domain (TLD) exists in the IANA root zone database. Obfuscation decoding is applied as a transformation T(s) before the primary regex pass:
n∑i=1
Transformation T maps tokens like [at] → @. The probability of false positives P(err) is minimized by excluding common file suffixes:
Sexcluded = { png, jpg, gif, css, js, ... }
Reference Data
| Extraction Phase | Methodology | False Positive Prevention |
|---|---|---|
| 1. Normalization | Converts [at], (at), @ entities to standard syntax. | Ignores mathematical text where "at" is semantic. |
| 2. Pattern Match | RFC 5322 permissive Regex variant. | Requires valid TLD length (2+ chars). |
| 3. TLD Validation | Checks domain extension against IANA registry. | Rejects media extensions (.jpg, .png, .css). |
| 4. Deduplication | Case-insensitive set comparison. | Merges aliases (e.g., User+tag vs User). |
| 5. Context Analysis | Sliding window text capture. | N/A |
Frequently Asked Questions
Yes. The Obfuscation Decoder toggle enables a pre-processing pass that converts common evasion patterns (e.g., "john [at] gmail [dot] com" or 'jane (at) company . org') into standard email format before extraction.
The system utilizes a negative lookahead and a strict exclusion list for common file extensions (png, jpg, svg, js, css). If the domain part of a potential email ends in a file extension rather than a valid TLD, it is discarded.
No. All processing occurs locally within your browser's JavaScript engine. Your data is never transmitted to an external server, ensuring complete privacy for sensitive logs or customer lists.
Yes. The CSV export function includes a "Context" column, which captures a snippet of text (approx. 50 characters) preceding and following the found email address to help verify its relevance.