locust
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HasData
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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. HasDataโs 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 โ 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 scaleโwithout 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 scrapingโresilient 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 insightsโhandling millions of requests per day without service disruption.
Based on our record, locust seems to be more popular. It has been mentiond 65 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.
Regularly review your cluster's utilization to check whether it's still suitable for your workloads. Test autoscaling rules by using a load-testing tool like Locust to direct excess traffic to your cluster. This lets you spot problems earlier, ensuring your Pods will scale seamlessly when real traffic arrives. - Source: dev.to / 9 months ago
Locust: While primarily a load testing tool, it can be used to simulate user behavior under stress. - Source: dev.to / 10 months ago
But you donโt have to operate at Netflixโs scale to benefit from the same mindset. Effective teams simulate log floods during load tests, which push traffic through staging environments while tracking how ingestion, indexing, and alerting respond to the increased load. Tools like Grafanaโs k6 and Locust can simulate thousands of requests per second, while synthetic log generators mimic bursty error scenarios. - Source: dev.to / about 1 year ago
I mean honestly - the "classic" Apache model of throwing things into the www root is very strong for rapid development. Hot code reloading is sometimes finicky, you can end up with unexpected hidden state and lose sanity over a stupid heisenbug. Trust me. IMO you don't need to compensate for bad configs if you're using a proper staging environment and push-button deployments (which is good practice regardless of... - Source: Hacker News / about 1 year ago
Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / about 1 year ago
Apache JMeter - Apache JMeterโข.
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Loader.io - Loader.io is a simple cloud-based load testing service
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.
AT Internet - Transform your data into action with our powerful and flexible digital analytics solution.
Zyte - We're Zyte (formerly Scrapinghub), the central point of entry for all your web data needs.
