Author Profile
Andrei Ogiolan
Full Stack Developer
Andrei Ogiolan is a Full Stack Developer at WebScrapingAPI, contributing across the product and helping build reliable tools and features for the platform.
Published Articles
11
7 Best SERP APIs in 2026: Pricing & Features Compare
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.
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Web Scraping JavaScript Tables in Python: From Hidden APIs to Playwright
TL;DR: Web scraping JavaScript tables in Python rarely needs a headless browser. Open DevTools, find the JSON endpoint that hydrates the grid, replay it with requests, paginate it, and fall back to Playwright only when the network call is signed, encrypted, or otherwise sealed shut.
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How to Scrape HTML Tables in Golang with Colly: End-to-End Guide
TL;DR: This guide shows how to scrape HTML tables in Golang end to end: choose between Colly, goquery, and golang.org/x/net/html, target the right <tbody>, model rows as a typed struct, and export clean JSON and CSV. You also get pagination, anti-block, and JavaScript-rendered table patterns.
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How to Scrape Google Maps for Reviews: A Practical Python Guide
TL;DR: Figuring out how to scrape Google Maps for reviews comes down to three method tracks: a DIY Selenium scraper behind a rotating proxy, a scraping API with render instructions, or a structured Maps Reviews API that returns parsed JSON. This guide walks through all three in Python with copy-pasteable code, pagination patterns, anti-block tactics, and a final cleaning step that turns raw reviews into something a business can actually use.
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How to Web Scrape Google Maps Place Results
Learn how to scrape Google Maps place results with our API using Node.js: step-by-step guide, professional scraper benefits, and more. Get data_id, coordinates, and build data parameter easily.
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How to Scrape HTML Tables Using Python
TL;DR: Most HTML tables can be scraped with a single line of pandas.read_html. When the table is paginated, JavaScript-rendered, or has merged headers, switch to Requests + BeautifulSoup or a headless browser like Playwright. This guide gives you a decision matrix, working code for all three approaches, and the cleaning steps that turn scraped rows into pipeline-ready data.
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How to Web Scrape Google Shopping Nearby Sellers with Node.js
Learn how to use Node.js and our API to scrape nearby sellers from Google Shopping. Extract valuable data quickly and easily with our professional web scraper.
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Learn How to Web Scrape Google Shopping Product Specs with Node.js
Discover the step-by-step guide to web scraping Google Shopping product specs using Node.js. Improve your web scraping skills with this tutorial.
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Find out how to use cURL in Python
Learn how to use cURL in Python to build data extraction scripts
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Find out how to use cURL with Proxy
Learn cURL usage with a Proxy: a command-line tool for developers to fetch data from a server. This article explains what a proxy is, how to set it up, and how to use it with cURL.
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Automated Web Scraping – Easy retrieval Of reliable structured Web Data
Automated web scraping is a reliable technique of ensuring you obtain valuable structured data from multiple websites for well-considered data-driven decisions .
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