JSON vs. Python vs. ScrapingAnt vs. WebScraper.io Comparison Chart

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language. JSON is built on two structures: 1. A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 2. An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. These are universal data structures. Virtually all modern programming languages support them in one form or another.

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.