90M+ Real Residential IP Pool
Every request comes from a real user network with extremely low platform detection rates
Every request comes from a real residential IP with flexible rotation, geo targeting, and high-concurrency access for stable data collection, SEO monitoring, and ad verification workflows.

Access 90M+ real residential IPs across 195+ countries and regions. Use country, state/province, city and ASN-level targeting to power web data collection, market research and more.
Real residential IP exits, flexible rotation strategies and global geo coverage make your scraping and verification tasks more stable and efficient.
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 complete onboarding — no complex configuration needed to integrate residential proxy capabilities into your scraping, verification or automation workflows.
Select a traffic plan based on your business scale and specify target country, city or ASN to precisely match your access needs
Obtain proxy address and authentication info via dashboard or API. Supports both username/password and IP whitelist authentication
Configure the proxy in your scraper, browser or automation script and start stable collection immediately with on-demand scaling
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 -x your-username:your-password@Host:Port https://api.ip.cc
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.
These 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.
Build stable, low-risk data access at scale with flexible rotation strategies and broad geo coverage — from small-scale testing to high-concurrency production.

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.

The most common questions before onboarding focus on billing, rotation strategy and use case selection.