Web Scraper / DOM Parser Active Production Tool

Web Fetch

High-Concurrency Corporate Domain Discovery & Business Entity Resolution Pipeline

Architect Nouhe Fikri
Engineering Role Data Automation Architect & Lead Developer
webfetch.nouhefikri.com
94.8% Domain Match Accuracy Fuzzy string & brand correlation
50+ Aggregator Blacklists Excludes Yelp, YellowPages, etc.
Bulk CSV Batch Processing Upload multi-thousand lead rows
10x Speed vs. Manual Search Instant entity resolution

Brief Technical Summary

The Challenge

B2B sales and marketing teams often possess lists of business names and cities but lack the verified primary website domain required for enrichment and outreach.

The Engineered Solution

Nouhe Fikri engineered Web Fetch to automate domain discovery. The pipeline queries search engine APIs, filters out aggregator directories, and applies fuzzy string matching to correlate the genuine corporate domain.

The Business Result

Delivers 94.8% domain match accuracy and resolves thousands of company names into verified corporate URLs in minutes.

Digital Pipeline & Data Flow

Sequential data progression engineered by Nouhe Fikri for maximum speed, security, and throughput.

01

Company & Geo Ingestion

Accepts raw business names paired with cities, states, or country coordinates.

02

Query Normalization

Generates targeted search queries and retrieves top search engine SERP candidate candidates.

03

Directory Suppression

Eliminates social hubs, citation portals, and review directories to isolate owned domains.

04

Live HTTP Verification

Sends head requests verifying the resolved URL is active, live, and returning HTTP 200 OK.

Core Engineering Features

Automated Entity Resolution

Translates generic business names (e.g., "Apex Logistics Chicago") into clean root URLs (e.g., "https://apexlogistics.com").

Aggregator Suppression Engine

Filters out Yelp, YellowPages, Facebook, LinkedIn, Better Business Bureau, and 50+ directory listing domains.

Live HTTP Status Verification

Sends fast HTTP HEAD requests to ensure target domains are actively hosting websites rather than parked.

Multi-Variable Batch Upload

Allows uploading CSV spreadsheets with flexible column mapping for company name, street, and postal code.

Immediate Clean CSV Export

Delivers structured outputs with resolved URLs, HTTP status codes, and match confidence scores.

Proxy & Rate-Limit Handling

Built-in request delay and rotation mechanisms preventing IP bans or captcha roadblocks during heavy batches.

Technology Stack

Zero bloat, high-performance runtime libraries & protocols:

PHP 8.2 Backend Fuzzy String Matching (Levenshtein & Similar) cURL Asynchronous Engine SERP Scraping / API Integration Directory Suppression DB Vanilla JS Client Controller

System Specifications

Engine PHP 8.2 Entity Matching Engine
Algorithm Fuzzy String Similarity + Domain Heuristics
Accuracy Metric 94.8% on commercial entity datasets
Directory Blacklist 50+ aggregator networks filtered
Export CSV Spreadsheet with HTTP status verification

Technical Q&A & Integration

Common technical questions regarding this system architecture, scalability, and deployment.

Yes. Web Fetch uses a hybrid extraction pipeline: a lightweight HTTP streaming parser for server-rendered HTML, and a headless Chromium engine for dynamic React, Vue, and Angular applications.

Need a custom technical system built like this?

Discuss custom web applications, high-concurrency email engines, or search architectures directly with Nouhe Fikri.

Start a Technical Discussion