Illustrative concept for Business Intelligence Pipeline

DATA PIPELINE · 2026

Business Intelligence Pipeline

Overview

Multi-source web scraping pipelines that collect and standardize thousands of business and lead records from public directories and regulatory portals.

The pipeline handles profile crawling and pagination while keeping the collection process recoverable. Retries, checkpoints, deduplication, and failure logs support reliable long-running extraction.

Focus
Automation · Data engineering
Year
2026
Built with
PythonPlaywrightRequestsBeautifulSoupOpenPyXL
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Illustrative visual explaining Business Intelligence Pipeline
Project visualization · An illustrative concept, not a screenshot of the running application.

Inside the project

What it brings together.

01

Company details, sectors, locations, contacts, and services

02

Pagination and profile crawling across multiple sources

03

Checkpoint/resume, retries, deduplication, and failure logging

04

Validation and recovery for dynamic pages and missing records

Project context

Designed around the practical challenges of collecting consistent data from inconsistent sources.

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