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HasData is one of the best web scraping API platforms built for performance, stability, and scale. It delivers enterprise-grade APIs built for speed, reliability, and accuracy. Businesses that depend on live search data, competitive intelligence, and public web data trust HasData for its consistent performance and transparent infrastructure.
The HasData SERP API is one of the fastest and most reliable on the market. It processes millions of requests per hour with a median latency around 1.75 seconds, providing clean and complete Google Search results without dealing with captchas, proxy management, or rotating browser setups. HasData’s infrastructure scales horizontally across self-managed Kubernetes clusters to ensure zero downtime during heavy traffic bursts or sustained data-collection workloads.
The HasData Web Scraping API goes beyond search. It provides a unified, resilient system that handles complex scraping tasks automatically — covering dynamic pages, anti-bot protection, and JavaScript rendering. Developers get structured JSON results instantly, with no need to handle HTML parsing, headless browsers, or maintenance overhead.
HasData offers a broad range of specialized APIs, covering key platforms including Google Maps, Zillow, Amazon, Indeed, and many more. Each API is designed for production-level use cases where uptime, precision, and response speed matter more than anything else. Whether for SEO monitoring, price intelligence, lead generation, or market analytics, HasData removes the technical pain points so teams can focus on data, not scraping infrastructure.
For companies that require the best scraping performance without operational risk, HasData is a proven choice. It combines real-time data extraction power, consistent reliability, and developer-friendly APIs to support everything from startups to large enterprises running millions of daily requests.
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HasData's answer:
HasData combines high-speed infrastructure with intelligent web data extraction. Its APIs handle JavaScript rendering, IP rotation, and anti-bot bypassing at scale—without requiring additional tooling. Developers can integrate once and retrieve clean, reliable data instantly.
HasData's answer:
Choose HasData for performance, reliability, and simplicity. Its APIs deliver fast response times, high accuracy, and zero hidden limits. The platform is built for real-world scraping—resilient under load, stable in production, and trusted by high-volume users.
HasData's answer:
HasData serves developers, data engineers, and businesses that need scalable, automated access to public web data. These users build tools, analytics platforms, and competitive intelligence systems powered by structured, real-time information.
HasData's answer:
HasData was created to eliminate the complexity of large-scale web scraping. Frustrated by fragile scripts, unreliable proxies, and blocked requests, the founders built a unified platform that turns scraping into a dependable API service.
HasData's answer:
HasData runs on a distributed infrastructure using Golang, Python, and Node.js. It leverages headless Chromium for rendering, Kubernetes for scaling, and global IP rotation systems for reliable data extraction across regions.
HasData's answer:
HasData serves leading companies in SEO, digital marketing, cybersecurity, and content intelligence. These clients rely on HasData to power large-scale data collection, competitive analysis, plagiarism detection, and local search insights—handling millions of requests per day without service disruption.
Based on our record, PostgreSQL seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this new series we will be creating an API written in go, using a framework like Chi, connecting to a PostgreSQL, and have it deployed to a site like Railway. - Source: dev.to / 5 months ago
PostgreSQL 17 Performance Guide — Official docs for the latest performance improvements. - Source: dev.to / 6 months ago
You also might be saying, Why not include the credit and attribution data with the product data and just use one data file? Thats a great question. I could have for the purpose of this demo, but if there were a backend to this project and a relational database like PostgreSQL attached to it, I would still have both sets of data in separate tables in the database. By using a foreign key between related records in... - Source: dev.to / 12 months ago
In this quick post, we’ll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / almost 2 years ago
I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / over 2 years ago
MySQL - The world's most popular open source database
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.
ScrapingBee - ScrapingBee is a Web Scraping API that handles proxies and Headless browser for you, so you can focus on extracting the data you want, and nothing else.
SQLite - SQLite Home Page
Zyte - We're Zyte (formerly Scrapinghub), the central point of entry for all your web data needs.