Build scrapers without having to manage proxies and headless browsers!

Joined May 2018
78 Photos and videos
Many #scrapers fail against #Akamai for the same reason: they only solve for proxies. Akamai evaluates multiple layers at once. Here's what it's actually checking. ➡️
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The tricky part? These layers interact. A clean IP with broken session continuity still gets flagged. Perfect headers with a detectable TLS fingerprint still gets flagged. Akamai scores the whole picture.
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Building your own web scraping stack feels flexible until maintaining it becomes an engineering commitment. Anti-bot evasion, proxies, sessions. Your team doesn't avoid them by building in-house. See if you’ve been paying some hidden costs: buff.ly/rMzT8pO #ScraperAPI
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Your competitors are refreshing product listings every hour with live web data. You’re still updating inventory and pricing from overnight scraping jobs. 😥 That gap impacts pricing accuracy, listing freshness, and how quickly your marketplace reacts to changes.
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The challenge isn’t collecting product data once. It’s maintaining reliable, real-time web #datapipelines at scale. That means handling anti-bot systems, browser rendering, #proxy reliability, retries, and infrastructure maintenance continuously.
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#ShoptalkEurope is happening in one week! If your team works with pricing intelligence, #ecommercedata, or competitive tracking, come chat with the #ScraperAPI team! We'll be happy to talk through your use case, current setup, or scaling challenges. ➡️ Let's connect and meet up
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Geo-scraping five markets isn’t five times harder than scraping one. It’s a different infrastructure problem. Reliability stops being a feature and becomes the entire challenge. Talk to our team about building reliable multi-region web #datapipelines: buff.ly/8ETRUWt
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#Freeproxies are fine for testing, but not for doing real #webscraping work. High failure rates, slow response times, and IP bans. The time spent debugging often costs more than a paid solution. See this comparison to the best free proxies: buff.ly/kI9EjDI #ScraperAPI
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Pricing intelligence platforms are only as good as their #data infrastructure. A competitor changes their pricing. Your system misses it. Your customers start questioning your platform. For #pricingintelligence, reliable data collection is the foundation of the product.
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Your scraper works fine, until the 403s start rolling in. You rotate proxies. Change headers. Still blocked. 😢 You're probably running into Akamai. 3 signs Akamai is behind the blocks and how to bypass it: buff.ly/wA1QKnQ #ScraperAPI #scraper #Akamai
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Should you buy or build your own web scraping infrastructure? 🤔 A lot of our enterprise customers started by building internally.
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At first, more control, more flexibility, lower upfront cost. But as their scraping operations scaled, so did the maintenance burden.
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The question stops being "Can we build this ourselves?" But rather "Should this really be an internal engineering function?" That’s why many teams eventually switch to #ScraperAPI. Talk to our team about building reliable web data pipelines: buff.ly/8ETRUWt
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Anyone else heading to #ShoptalkEurope? If your team works with pricing intelligence, marketplace data, or competitive tracking, come chat with the #ScraperAPI team. We'll be happy to talk through your use case, current setup, or scaling challenges. ➡️ Let's have a chat!
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24 Dec 2025
With AWS WAF, Cloudflare, or DataDome protection, what worked for scrapers yesterday might get flagged today. They evolve quickly. Most devs patch scripts with endless fixes like rotating IPs, tweaking headers, and solving CAPTCHAs. It only works until the next update rolls out.
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24 Dec 2025
That is why ScraperAPI is built to evolve with them. Even against AWS WAF–protected sites, ScraperAPI fetches data in just a few seconds. Check here: scraperapi.com/solutions/byp…
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