Thordata
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socketify.py
Thordata provides global enterprise proxy networks with over 60 million legitimate residential IPs across 190+ regions. Our rotating residential proxies start at only $0.65 per GB with no trial time limits. Enter promo code thor020 at checkout to get exclusive traffic discounts. Fully compatible with all anti-detect fingerprint browsers, scrapers and automation tools, we deliver stable, customizable IP session control for web data collection, cross-border e-commerce operation and global market research.
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Thordata stands out as an all-in-one, enterprise-grade unified web data infrastructure platform that combines a massive global proxy network, fully managed AI web scraping API, and ready-to-use dataset marketplace under one roof โ a combo rarely offered by competitors that only sell single proxy or scraping tools. We own and operate a self-sourced pool of 100M+ ethical residential, mobile, static ISP and datacenter IPs covering 190+ countries, with granular city/ASN targeting for hyper-local data collection. Our built-in auto CAPTCHA solver, JS rendering engine, and anti-block fingerprint management eliminate complex in-house engineering work for users. We prioritize full global compliance with GDPR, CCPA and local data privacy laws, plus async-first high-concurrency architecture supporting over 1000 requests per second. We also provide pre-built structured data pipelines for top platforms including Amazon, Google, LinkedIn, Zillow and Booking, alongside dedicated 24/7 enterprise technical support.
Thordata's answer
Thordata's answer
Thordata's core users fall into 6 key professional and business groups: 1. Al & Machine Learning Teams: Engineers and researchers building LLMs, training datasets, and Al agents that requiremassive volumes of clean, real-time public web data. 2. E-commerce & Market Intelligence Enterprises Brand analysts, pricing optimization teams, and marketplace sellers trackingcompetitor listings, product prices, customer reviews, and inventory data across global retail platforms (Amazon, Shopify,Alibaba etc.). 3. Digital Marketing & Ad Verification Agencies: Specialists running ad validation, SEO rank tracking, social media monitoring,and cross-region campaign performance analysis. 4. Real Estate & Travel Data Companies: Teams collecting property listings, hotel rates, flight fares, and regional locationintelligence for consumer-facing platforms. 5. Data Analytics & Fintech Startups: Financial analysts and risk teams scraping market news, public business records, andconsumer trend data for forecasting and compliance reporting. 6. Independent Developers & Web Scraping Freelancers: Individual engineers building custom data pipelines, small-scaleresearch bots, and lightweight market monitoring tools for personal or small-client projects Our enterprise customer base ranges from mid -sized SaaS startups to global listed corporations, while we also offer affordableplans for individual developers and small agencies.
Thordata's answer
Thordata was founded by a team of senior network engineers and data compliance specialists who witnessed a critical industry pain point in 2018: businesses of all sizes were forced to piece together fragmented, unreliable tools for web data collection โ disjointed third-party proxies, buggy open-source scrapers, and costly manual data cleaning workflows โ with almost no vendors offering fully compliant, stable end-to-end data infrastructure. Our founding mission was simple: build a unified, ethical, enterprise-ready platform that removes all technical barriers to accessing public web data, without forcing teams to manage complex proxy servers or maintain scraper code. We launched our initial residential proxy network in 2019, then expanded to add ISP/mobile proxies, our AI Web Scraper API in 2022, and the structured Dataset Marketplace in 2024. Today, we have 430+ in-house specialists across network operations, AI engineering, data compliance and customer success, serving more than 4,000 enterprise clients across 190 countries. We remain focused on evolving our platform to match the rising data demands of the AI era, with constant upgrades to our anti-block fingerprint technology, global IP network coverage, and pre-built domain data pipelines.
Thordata's answer
Backend core: Python (asyncio/aiohttp for high-concurrency scraping), Go for global proxy gateway routing, Rust for low-latency IP traffic management Cloud & infrastructure: Distributed Kubernetes clusters across multi-region AWS, GCP and bare-metal server nodes for global proxy endpoints AI & scraping engine: Custom ML CAPTCHA resolution models, headless Chrome/Playwright JS rendering stack, browser fingerprint rotation AI algorithms Data storage & processing: PostgreSQL for user management, ClickHouse for real-time traffic analytics, Parquet-based data lake for structured dataset storage API & SDK ecosystem: RESTful OpenAPI standard endpoints, official SDKs for Python, JavaScript, Java and Go with full async support Network security: Custom-built IP allocation & rotation microservices, end-to-end TLS encryption, compliance audit logging pipelines for GDPR/CCPA reporting Frontend dashboard: React + TypeScript with real-time WebSocket monitoring for proxy usage, scraping task tracking and dataset management
Thordata's answer
Global cross-border e-commerce analytics firms Mid-sized AI LLM training startups International hotel & travel price comparison platforms US & EU real estate listing data providers Independent digital marketing & ad verification agencies Financial market trend research SaaS companies Global consumer brand competitive intelligence teams Web3 & market research data consultancies
Based on our record, socketify.py seems to be more popular. It has been mentiond 2 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.
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
Decodo - Decodo is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.
Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.
IPRoyal - At IPRoyal, we offer premium proxy servers, including residential, datacenter, ISP, and mobile proxies.
Proxy-Seller - Proxy-Seller provides a wide range of proxies, including DC IPv4 & IPv6, ISP, Rotating 4G/5G Mobile, and Residential proxies.
ProxyCompass - Get proxy servers featuring IPv4, HTTP/HTTPs, and SOCKS4/5 protocols. Static residential ISP and Datacenter. Choose from static and rotating IP addresses. ProxyCompass is here to support your business around the clock.
