ScraperAPI vs. ScrapingAnt vs. WebScraper.io vs. python-sql Comparison Chart

ScrapingAnt is an enterprise‑grade web scraping API that delivers mission‑critical speed, reliability, and advanced scraping capabilities through a single, easy‑to‑integrate RESTful interface. It combines scalable headless Chrome page rendering with unlimited parallel requests, all powered by a global pool of over three million low‑latency rotating residential and datacenter proxies. Its proprietary algorithm automatically switches to the optimal proxy for each task, ensuring seamless JavaScript execution, custom cookie management, and robust CAPTCHA avoidance. Built on high‑performance AWS and Hetzner servers, ScrapingAnt boasts 99.99% uptime and an 85.5% anti‑scraping avoidance rate. Developers can use any programming language to harvest LLM‑ready web data, scrape Google SERP results, or collect dynamic content behind Cloudflare and other anti‑bot protections without worrying about rate limits or infrastructure maintenance.

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.