E-commerce crawling
Intelligent analysis and dynamic rendering of pages, SKU-level price/inventory/review data acquisition in milliseconds, real-time capture of data from 50+ platforms such as Amazon/Taobao/JD, with a success rate of 99.9%
Core competency indicators
99.9% success rate
Intelligent Anti-Bot Engine
Automatic handling of CAPTCHA/fingerprint detection
< 800ms response time
Global distributed nodes
Smart route optimisation
200M+ IP pool residential proxy
IP automatic rotation
Avoid bans
100% structured data
Automatically parse the entire page data
Supports real-time return via JSON/CSV/API
Why IPFLY is the optimal solution for e-commerce scraping
Platform deeply adapted
- Site fingerprinting: AI-based site structure automatic recognition system, pre-trained with DOM tree models of over 50 e-commerce platforms (Amazon/TikTok Shop/Shopify/Taobao, etc.).
- Dynamic rule base: Each platform maintains 15-30 sets of scraping rules (for example, Amazon has 23 sets of XPath/CSS selectors for different page types), automatically switching to the optimal rule through reinforcement learning.
- Hot update mechanism: The rules library is updated in the cloud, and the platform pages automatically adapt within 2 hours after a redesign, requiring no customer intervention.
E-commerce exclusive anti-blocking strategy
- Canvas/WebGL fingerprints: Randomly assigned daily from a pool of 5000+ real browser fingerprints, supporting noise injection.
- Behaviour simulation: mouse trajectories, scroll speed, and click intervals follow the distribution of real users (based on a GAN model trained with data from 100,000 real user behaviours).
- Rotation strategy: Rotating mode (change IP with each request) + Sticky mode (session persistence) + Smart mode (dynamically switch based on the target platform's ban rate).
- IP health monitoring: real-time monitoring of IP availability, response speed, and block records, automatically removing blacklisted IPs.
Scenario-based strategy engine
- Price monitoring strategy: Rotating IP + Canvas variation + minute-level polling + anomaly Webhook.
- Product selection analysis strategy: Sticky IP + low-frequency collection + full-field data + batch CSV delivery.
- Comment insight strategy: proxy IP rotation + anti-scraping delay + sentiment analysis + keyword extraction.
- Inventory arbitrage strategy: high-frequency monitoring + out-of-stock detection + replenishment forecasting algorithm.
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Pricing plan
- Use by30day
- traffic50 GB
- AI-driven web scraping

- 7*24 dedicated customer service

- Use by30day
- traffic50 GB
- AI-driven web scraping

- 7*24 dedicated customer service

- Use by30day
- traffic50 GB
- AI-driven web scraping

- 7*24 dedicated customer service

- Use by30day
- traffic50 GB
- AI-driven web scraping

- 7*24 dedicated customer service

- Use by30day
- traffic50 GB
- AI-driven web scraping

- 7*24 dedicated customer service

- Use by30day
- traffic50 GB
- AI-driven web scraping

- 7*24 dedicated customer service

- Use by30day
- traffic50 GB
- AI-driven web scraping

- 7*24 dedicated customer service

- Use by30day
- traffic50 GB
- AI-driven web scraping

- 7*24 dedicated customer service

Deeply aligned with the high-level business needs of top-tier enterprises.
Consult now
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Dedicated account manager
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Infinite scalability
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Custom package
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Precision service
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Full protocol support
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Data monitoring dashboard
We accept these payment methods:
Covers mainstream business scenarios, plug and play
Advertisement Verification
Social Media Management
Market Research
SEO Optimisation
E-commerce
Web Scraping
Enterprise-level architecture, stably supporting hundreds of millions of requests
user request
E-commerce scene scheduler
IPFLY Intelligent Agent
AI analysis engine
Data standardisation
Business scenario packaging
Webhook Push / BI Dashboard
Frequently Asked Questions
What product information can be obtained through e-commerce crawling?
Including product titles, prices, inventory, sales volume, user reviews, logistics information and other product-related content publicly displayed on the e-commerce platform.
Why crawl product information from Amazon and TikTok Shop?
Common uses are competitive product analysis (such as comparing pricing of similar products), market research (understanding popular product trends), product selection reference, etc.
When capturing product information in real time, "real-time" means how often it is updated?
It is usually updated on a minute-level or even a second-level basis, depending on the configuration of the crawler tool, and can synchronize price and inventory changes on the platform in a timely manner.
Will e-commerce scraping lead to malicious tampering of product prices?
No, scraping is the act of “reading” data, and product information on the e-commerce platform cannot be modified.
Can individuals use e-commerce scraping tools?
Technically possible, but it must abide by the platform's user agreement and cannot be used for illegal purposes (such as malicious reselling of data after batch crawling).
Are the crawling difficulties of different e-commerce platforms the same?
Differently, some platforms will set up anti-crawler mechanisms (such as verification codes, access frequency limits), and it will be more difficult to crawl such platforms.








