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Build scrapers without having to manage proxies and headless browsers!

Joined May 2018
You came for data, not to rotate IPs, solve CAPTCHAs and rewrite headers. Send a URL, get the page back. Proxies, rendering, geotargeting and CAPTCHAs are built in. Most users who try it make their first scrape within 10 minutes. Request a custom trial: scraperapi.com/solutions/byp…
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Collecting Amazon ASINs to track price and availability, enrich a catalogue or watch competitor listings? In our guide: collect ASINs from search results, turn each into JSON product data, and batch thousands of them. buff.ly/aWQT2xZ
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Ian Williams, our Head of Engineering, on how bot detection tells a bot from a human: four signatures (IP reputation, TLS, browser, behaviour) that all have to pass at once and tell the same story. Watch the on-demand webinar: buff.ly/t4tVhTZ
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Getting past Akamai yourself means building proxies, tokens, a sensor-running browser, cookies, and pacing before you see one row of data. ScraperAPI does that work. Half our engineering keeps it working as sites change. Free trial, no card needed: buff.ly/Llq83fy
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Python requests usually fail against Akamai because the five checks run at once. Fixing one doesn't get you through. IP reputation, headers and tokens, JavaScript sensors, browser fingerprint, request behaviour. How to bypass Akamai's bot detection: buff.ly/4F9kpLX
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Your scraper ran fine for a week. Then: 403. Akamai weighs IP reputation, headers, tokens, JavaScript behaviour, and how your browser acts, so a script can pass most checks and still get stopped by one. Which site is blocking you, and what does the block look like?
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Building a proxy manager is more than IP rotation. You'll also need proxy sourcing, health monitoring, dead IP replacement, sticky sessions, geo-targeting, and scaling. See the full build-vs-buy checklist: buff.ly/qsIeNHY #ScraperAPI #proxymanagement #webscraping
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Thinking about switching web scraping tools? We've compared #ScraperAPI with some of the most popular data collection infrastructures, covering pricing, features, and common use cases. Take a look before making a decision: buff.ly/SWz3T2F #webscrapingtools #comparison
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No two #AI teams build the same way. Whether you use MCP, LangChain, LlamaIndex, n8n, or the CLI, your web data layer should fit your stack, not force you to change it. Find the right #ScraperAPI AI integration for your tech stack: buff.ly/qjn3xqZ #ScraperAPI #llm
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A drop from 4.5⭐️ to 3.9⭐️ is easy to spot. Understanding why takes a closer look at the reviews. Learn how to turn customer reviews into structured insights: buff.ly/q7p5xYc #ScraperAPI #reviewanalysis #dataextraction
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