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Insights & Engineering

Deep dives into web data infrastructure, extraction techniques, and the future of structured data at scale.

Latest Articles

Alternative Data Scraping for Finance: Sources & Pipelines

TL;DR: Alternative data scraping uses web collection techniques to gather non-traditional datasets (product pricing, sentiment, job postings, regulatory filings) that reveal market signals before they appear in earnings reports. This guide walks you through the highest-value data sources, how to build financial-grade pipelines, data quality validation, and the compliance guardrails you need to stay on the right side of the law.

Mihnea-Octavian Manolache15 min readOct 9, 2026

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Use Cases

What Is Financial Data? Types, Sources, and Analysis Tools

TL;DR: Financial data is the collection of quantitative records (income, expenses, assets, liabilities, cash flow) that organizations and individuals use to make informed economic decisions. This guide breaks down the four core financial statements, compares traditional and alternative data sources, walks through modern collection methods, and covers the tools professionals rely on for analysis.

Suciu Dan12 min readOct 29, 2026

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Guides

Best Job Scraping Tools in 2026: Comparison & Guide

TL;DR: Job scraping tools range from lightweight API services and open-source browser automation to AI-powered extractors and visual no-code platforms. This guide compares the best job scraping tools across Google Jobs, Indeed, Monster, Upwork, and freelance marketplaces, then walks you through building a reliable pipeline with deduplication, scheduling, and anti-bot handling so you can start collecting clean job data at scale.

Gabriel Cioci15 min readOct 30, 2026

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Guides

Bypass Cloudflare with Selenium: 5 Python Methods (2026)

TL;DR: Cloudflare blocks vanilla Selenium by fingerprinting the browser, inspecting headers, and analyzing behavioral signals. This guide walks through five practical bypass methods (Undetected ChromeDriver, Selenium Stealth, SeleniumBase UC mode, CAPTCHA-solver integration, and scraping APIs), complete with Python code, a comparison table, and a troubleshooting runbook so you can pick the right approach for your scale and budget.

Mihnea-Octavian Manolache16 min readOct 8, 2026

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Science of Web Scraping

Data Parsing

TL;DR: Data parsing converts raw content (HTML, JSON, XML, PDFs) into structured fields your code can actually use. This guide walks through how data parsing works step by step, compares the major techniques and libraries, and gives you a practical framework for deciding whether to build or buy your parsing layer.

Suciu Dan14 min readNov 2, 2026

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Guides

7 Best SERP APIs in 2026: Pricing and Features Compared

TL;DR: There is no official Google SERP API, so third-party providers fill the gap. Pricing ranges from roughly $0.30 to $15 per thousand searches, and the right choice depends on your volume, budget, and the SERP features you need to extract. This guide compares the top providers side by side, breaks down true cost at scale, and gives you a decision framework to shortlist the best SERP API for your project.

Andrei Ogiolan17 min readOct 9, 2026

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