Time-based billing with uncapped traffic and flexible bandwidth and concurrency options for stable AI data collection, high-frequency scraping, and long-running monitoring tasks.
Built for high-frequency and always-on workloads, unlimited residential proxies provide real residential exits with uncapped traffic and flexible bandwidth and concurrency options.
Uncapped traffic, selectable bandwidth and concurrency, and real residential exits make continuous collection and AI data workflows easier to budget.
Every request comes from a real user network with extremely low platform detection rates
Supports per-request, per-session or custom strategy IP rotation
Country / state / city / ISP / ASN multi-level targeting
Real residential exits and smart scheduling help requests maintain stable pass rates
Enterprise-grade infrastructure supporting high-concurrency tasks around the clock
Works with browsers, scraping frameworks, automation scripts and all platforms
Three steps to get started with unlimited residential proxies by period, bandwidth and concurrency configuration.
Select a usage period, bandwidth and concurrency configuration based on workload scale
After purchase, obtain proxy address and authentication details in the dashboard for common tools and automation frameworks
Configure the proxy in your scraper, browser or automation script and run tasks steadily during the plan period
Manage global data access, static connectivity, and region-targeted rules from one API.
Use examples for cURL, Python, NodeJS, PHP, Go, and Java to connect AI data pipelines faster.
cURL
Python
NodeJS
PHP
GO
Java
curl -x your-username:your-password@Host:Port https://api.ip.cc
100M+ Residential IPsAvg. Response Time <0.6sAvg. Success Rate 99.95%HTTP(S) & SOCKS5 Support
Due to policy limitations, this service is currently unavailable in mainland China and cannot access domestic websites.Whether you need technical consultation or have specific requirements, contact our sales team for a custom quote and we'll get back to you promptly.
100M+ Residential IPsAvg. Response Time <0.6sAvg. Success Rate 99.95%HTTP(S) & SOCKS5 SupportThese reviews focus on the practical areas that matter most: data access stability, regional coverage, session control, and engineering integration speed.
We integrated DuckIP into public data collection workflows for model evaluation and knowledge base updates. Regional coverage and API stability met our expectations.
The API was quick to integrate and works well for ongoing data tasks. We mainly use it for search result analysis, industry page collection, and data quality checks.
Country, state, and city-level strategies are complete enough for knowledge updates and multi-region public information workflows. The docs are straightforward.
It stays stable for price, inventory, and competitor monitoring. Session control makes long-running workflows easier to manage.
For elastic collection and long-running tasks, the dashboard is clear and latency is acceptable. It fits well as reusable data infrastructure for our team.
We use it in multi-region regression checks to get different regional data perspectives. The resource pool is sufficient and strategy switching is convenient.
It stays stable in automation scripts, data collection tasks, and long-running workflows, making it suitable for larger data operations.
We integrated DuckIP into public data collection workflows for model evaluation and knowledge base updates. Regional coverage and API stability met our expectations.
The API was quick to integrate and works well for ongoing data tasks. We mainly use it for search result analysis, industry page collection, and data quality checks.
Country, state, and city-level strategies are complete enough for knowledge updates and multi-region public information workflows. The docs are straightforward.
It stays stable for price, inventory, and competitor monitoring. Session control makes long-running workflows easier to manage.
For elastic collection and long-running tasks, the dashboard is clear and latency is acceptable. It fits well as reusable data infrastructure for our team.
We use it in multi-region regression checks to get different regional data perspectives. The resource pool is sufficient and strategy switching is convenient.
It stays stable in automation scripts, data collection tasks, and long-running workflows, making it suitable for larger data operations.
We integrated DuckIP into public data collection workflows for model evaluation and knowledge base updates. Regional coverage and API stability met our expectations.
The API was quick to integrate and works well for ongoing data tasks. We mainly use it for search result analysis, industry page collection, and data quality checks.
Country, state, and city-level strategies are complete enough for knowledge updates and multi-region public information workflows. The docs are straightforward.
It stays stable for price, inventory, and competitor monitoring. Session control makes long-running workflows easier to manage.
For elastic collection and long-running tasks, the dashboard is clear and latency is acceptable. It fits well as reusable data infrastructure for our team.
We use it in multi-region regression checks to get different regional data perspectives. The resource pool is sufficient and strategy switching is convenient.
It stays stable in automation scripts, data collection tasks, and long-running workflows, making it suitable for larger data operations.
We integrated DuckIP into public data collection workflows for model evaluation and knowledge base updates. Regional coverage and API stability met our expectations.
The API was quick to integrate and works well for ongoing data tasks. We mainly use it for search result analysis, industry page collection, and data quality checks.
Country, state, and city-level strategies are complete enough for knowledge updates and multi-region public information workflows. The docs are straightforward.
It stays stable for price, inventory, and competitor monitoring. Session control makes long-running workflows easier to manage.
For elastic collection and long-running tasks, the dashboard is clear and latency is acceptable. It fits well as reusable data infrastructure for our team.
We use it in multi-region regression checks to get different regional data perspectives. The resource pool is sufficient and strategy switching is convenient.
It stays stable in automation scripts, data collection tasks, and long-running workflows, making it suitable for larger data operations.
We integrated DuckIP into public data collection workflows for model evaluation and knowledge base updates. Regional coverage and API stability met our expectations.
The API was quick to integrate and works well for ongoing data tasks. We mainly use it for search result analysis, industry page collection, and data quality checks.
Country, state, and city-level strategies are complete enough for knowledge updates and multi-region public information workflows. The docs are straightforward.
It stays stable for price, inventory, and competitor monitoring. Session control makes long-running workflows easier to manage.
For elastic collection and long-running tasks, the dashboard is clear and latency is acceptable. It fits well as reusable data infrastructure for our team.
We use it in multi-region regression checks to get different regional data perspectives. The resource pool is sufficient and strategy switching is convenient.
It stays stable in automation scripts, data collection tasks, and long-running workflows, making it suitable for larger data operations.
We integrated DuckIP into public data collection workflows for model evaluation and knowledge base updates. Regional coverage and API stability met our expectations.
The API was quick to integrate and works well for ongoing data tasks. We mainly use it for search result analysis, industry page collection, and data quality checks.
Country, state, and city-level strategies are complete enough for knowledge updates and multi-region public information workflows. The docs are straightforward.
It stays stable for price, inventory, and competitor monitoring. Session control makes long-running workflows easier to manage.
For elastic collection and long-running tasks, the dashboard is clear and latency is acceptable. It fits well as reusable data infrastructure for our team.
We use it in multi-region regression checks to get different regional data perspectives. The resource pool is sufficient and strategy switching is convenient.
It stays stable in automation scripts, data collection tasks, and long-running workflows, making it suitable for larger data operations.
We integrated DuckIP into public data collection workflows for model evaluation and knowledge base updates. Regional coverage and API stability met our expectations.
The API was quick to integrate and works well for ongoing data tasks. We mainly use it for search result analysis, industry page collection, and data quality checks.
Country, state, and city-level strategies are complete enough for knowledge updates and multi-region public information workflows. The docs are straightforward.
It stays stable for price, inventory, and competitor monitoring. Session control makes long-running workflows easier to manage.
For elastic collection and long-running tasks, the dashboard is clear and latency is acceptable. It fits well as reusable data infrastructure for our team.
We use it in multi-region regression checks to get different regional data perspectives. The resource pool is sufficient and strategy switching is convenient.
It stays stable in automation scripts, data collection tasks, and long-running workflows, making it suitable for larger data operations.
We integrated DuckIP into public data collection workflows for model evaluation and knowledge base updates. Regional coverage and API stability met our expectations.
The API was quick to integrate and works well for ongoing data tasks. We mainly use it for search result analysis, industry page collection, and data quality checks.
Country, state, and city-level strategies are complete enough for knowledge updates and multi-region public information workflows. The docs are straightforward.
It stays stable for price, inventory, and competitor monitoring. Session control makes long-running workflows easier to manage.
For elastic collection and long-running tasks, the dashboard is clear and latency is acceptable. It fits well as reusable data infrastructure for our team.
We use it in multi-region regression checks to get different regional data perspectives. The resource pool is sufficient and strategy switching is convenient.
It stays stable in automation scripts, data collection tasks, and long-running workflows, making it suitable for larger data operations.
We integrated DuckIP into public data collection workflows for model evaluation and knowledge base updates. Regional coverage and API stability met our expectations.
The API was quick to integrate and works well for ongoing data tasks. We mainly use it for search result analysis, industry page collection, and data quality checks.
Country, state, and city-level strategies are complete enough for knowledge updates and multi-region public information workflows. The docs are straightforward.
It stays stable for price, inventory, and competitor monitoring. Session control makes long-running workflows easier to manage.
For elastic collection and long-running tasks, the dashboard is clear and latency is acceptable. It fits well as reusable data infrastructure for our team.
We use it in multi-region regression checks to get different regional data perspectives. The resource pool is sufficient and strategy switching is convenient.
It stays stable in automation scripts, data collection tasks, and long-running workflows, making it suitable for larger data operations.
Designed for AI data collection, public web scraping, price monitoring, and automation tasks that need stable proxy capacity over a fixed period.
Residential proxies provide real home IP exits, helping e-commerce teams reliably collect product pricing, inventory, and review data from Amazon, eBay, AliExpress, and more. Smart IP rotation makes cross-border e-commerce data collection faster and more stable.
Common questions before onboarding focus on uncapped traffic, bandwidth and concurrency options, and fit by scenario.
Connect to stable, easy-to-use global AI data infrastructure for testing, launching, and scaling data workflows.
Due to policy restrictions, this service is unavailable in mainland China and does not support access to domestic websites. Thank you for your understanding.
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