Decodo Web Data API promises 2-3x cost savings for AI teams with unified scraping platform

Decodo consolidates web data collection for AI teams under single API

Web data infrastructure company Decodo has launched its Web Data API, a unified platform that brings scraping, search, crawling, and mapping capabilities under one API key. The release targets AI teams and developers who need current web content for retrieval-augmented generation systems, training datasets, and automated agents. According to CEO Vaidotas Juknys, analytics teams were "rebuilding the same pipeline every quarter" using fragmented tools, missing critical updates and wasting engineering resources1

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The platform addresses a fundamental problem in AI pipelines: data snapshots go stale the moment training ends. A price-tracking system built on outdated data reports yesterday's figures as current. News aggregators miss breaking stories. Research tools cite company information that changed months ago. For retrieval-augmented generation workflows, stale documents undermine the entire grounding mechanism that makes RAG valuable1

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Four endpoints replace multiple vendor relationships

The Web Data API delivers four core functions through separate endpoints. Scrape extracts clean content from individual pages, even behind anti-bot protection. Search returns live search engine results pages. Map discovers site structure, surfacing up to 147K URLs per call. Crawl follows links across domains and retrieves up to 10K pages per job. Teams can call one endpoint for targeted data extraction or chain all four for comprehensive site coverage1

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The consolidation eliminates the operational overhead of managing separate vendors. Instead of juggling multiple logins, dashboards, invoices, and support channels, developers work with a single interface. Rate limits, error formats, and status monitoring become uniform across all data pipeline management tasks. When debugging fails, engineers check one dashboard rather than switching between vendor accounts to trace request failures1

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Cost savings of 2-3x compared to in-house development

Building web scraping infrastructure internally typically costs two to three times initial estimates once engineering hours are factored in, according to Juknys. A scraper can break overnight when a target site changes its markup, consuming a week of developer time that was never budgeted. Maintenance work covers proxy rotation, CAPTCHA handling, and bypassing blocks—tasks that pull engineers away from feature development. "We built the Web Data API to carry that maintenance work ourselves, so it never lands on a customer's engineering team in the first place," Juknys stated2

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In-house projects also run long. Initial estimates of a few weeks routinely stretch into a quarter when target sites add new anti-bot measures or proxy providers raise renewal prices. The costs land across multiple teams—engineering handles maintenance, procurement negotiates vendor contracts, and project owners absorb budget overruns. A unified platform shifts these expenses to a predictable subscription model2

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125M+ proxy network handles anti-bot protection automatically

Decodo built the Web Data API on its existing proxy network, which carries 125M+ ethically sourced residential, ISP, mobile, and datacenter IPs across 195+ locations. The infrastructure handles advanced anti-bot protection without requiring customers to maintain bypass logic. Every request returns real-time data while Decodo manages proxy rotation and blocking countermeasures behind the scenes1

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Output formats adapt to downstream systems without additional conversion steps. Results return in HTML, JSON, CSV, or AI-ready Markdown based on a single parameter change. Analysts loading data into spreadsheets or business intelligence tools work directly from CSV. Data engineers writing to warehouses take JSON. Teams feeding AI models use Markdown. The flexibility eliminates the separate formatting layer many pipelines require2

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Integration options for AI tools and automation platforms

The platform includes a native MCP Server that connects AI tools like Claude, Cursor, and Windsurf to live web data. Agents can request fresh information at query time rather than relying solely on training data. Agent Skills provide ready-made scraping capabilities for AI coding agents. Official SDKs in TypeScript, Python, and Go let developers build scraping functionality directly into applications, while a CLI serves teams that prefer terminal-based workflows2

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Integrations with LangChain and n8n extend the platform's reach into existing AI and automation ecosystems. LangChain users can pull current web content into AI applications. Teams using n8n can add scraping to automated workflows without writing custom code. These integrations position the Web Data API as infrastructure that slots into established development patterns rather than requiring workflow redesigns2

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Free tier offers 10K monthly requests across all endpoints

Decodo is opening access with a free tier that includes up to 10K requests per month, shared across scraping, search, mapping, and crawling. The allocation is designed to let teams test real workloads before committing to paid plans, rather than offering a trial capped too low for meaningful evaluation. Teams that outgrow the free tier move to the same billing structure they started with, maintaining the single-key setup. The platform scales in both directions—small teams can run production projects on the free tier, while large operations can execute high-volume crawls and maps without switching providers1

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