ScraperAPI @ScraperAPI

Build scrapers without having to manage proxies and headless browsers! scraperapi.com Joined May 2018

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ScraperAPI @ScraperAPI

4 days ago

At ScraperAPI, we see this challenge often. Collecting competitor data is one thing. Making sure it reflects reality is another. #ScraperAPI #pricingintelligence #pricescraping

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ScraperAPI @ScraperAPI

4 days ago

The dashboard looks right. The report looks right. The model looks right. But if competitor prices changed yesterday, you're making decisions based on yesterday's market.

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ScraperAPI @ScraperAPI

4 days ago

For teams using web data for pricing intelligence, a surprising number of decisions are made on data that's already out of date.

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ScraperAPI @ScraperAPI

7 days ago

Miss any one of these, and you still can’t get the data. Follow this guide to bypass #Akamai successfully 🔥: buff.ly/wA1QKnQ #ScraperAPI #webscraping

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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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ScraperAPI @ScraperAPI

7 days ago

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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ScraperAPI @ScraperAPI

2 weeks ago

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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ScraperAPI @ScraperAPI

3 weeks ago

#ScraperAPI helps marketplace teams collect reliable, real-time web data — without maintaining scraping infrastructure internally. Book a demo: buff.ly/vmfoXZF #datascraping #ecommercedata

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ScraperAPI @ScraperAPI

3 weeks ago

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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ScraperAPI @ScraperAPI

3 weeks ago

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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ScraperAPI @ScraperAPI

3 weeks ago

#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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ScraperAPI @ScraperAPI

4 weeks ago

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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ScraperAPI @ScraperAPI

4 weeks ago

#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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ScraperAPI @ScraperAPI

a month ago

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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ScraperAPI @ScraperAPI

a month ago

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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ScraperAPI @ScraperAPI

a month ago

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