Decodo Web Data API Gives AI Agents Live Web Access

Decodo Web Data API Gives AI Agents Live Web Access

TL;DR Summary:

Live Web Access: Decodo’s Web Data API gives AI agents fresh web data without building scraping infrastructure from scratch.

Four Tools, One Key: Scrape pages, search the live web, map site structures, and crawl up to 10,000 pages through one account and API key.

Built For AI Workflows: RAG systems, coding tools, legal researchers, and competitive intelligence teams can turn current web content into usable data.

Free Pilot Available: Start with up to 10,000 requests each month at no cost, then evaluate data quality, limits, and performance before upgrading.

How do AI agents get fresh web data without building their own scraping tools? Decodo, a web data infrastructure provider, launched a Web Data API that puts scraping, searching, mapping, and crawling behind a single key. This matters now because AI startups building agents and retrieval systems need current information, and language models alone only know what they learned during training, which stops at a fixed point in time.

Why The Web Data API Solves A Real Agent Problem

Language models train on a snapshot of information. An agent tracking a news feed, a price list, or a company’s activity needs data that reflects what’s happening right now, not what existed when the model finished training. Retrieval-augmented generation, a method where a model pulls in outside documents before answering, only works well if those documents are current. Getting live pages means running scrapers behind rotating IP addresses, getting past CAPTCHAs and bot blockers, then cleaning up pages by stripping ads and navigation menus. Decodo CEO Vaidotas Juknys said AI startups don’t have time to build this infrastructure themselves, which is the gap the Web Data API targets.

What The Web Data API Actually Includes

The Web Data API bundles four endpoints under one account and one key. Scrape pulls clean content from a single page, even through anti-bot protection. Search returns live web results and replaces Decodo’s earlier Fast Search API. Map shows a site’s structure, and a single call can return up to 147,000 URLs. Crawl follows a site’s internal links automatically, collecting up to 10,000 pages in one job. Each endpoint handles a separate stage of pulling data from the web, so you no longer need four separate tools or contracts to cover the full process. This same tension between what’s actually live and what’s been indexed shows up on the website auditing side too, where tools like Labrika help teams verify that crawled and indexed content still line up, a check that matters just as much for a RAG pipeline pulling in outside documents as it does for a site trying to stay visible in search.

The Infrastructure Behind The Web Data API

All four endpoints run on Decodo’s proxy network, which spans more than 125 million IP addresses across over 195 locations. This scale matters because sites block repeated requests from the same address, and a large, spread-out network makes that blocking harder. One key and one account also mean one invoice and one dashboard, which cuts down the procurement work of vetting four vendors instead of one.

Early Use Cases Show Where The Web Data API Fits

Teams are already applying the four endpoints to specific jobs. RAG teams use a single crawl job to turn a documentation site into clean Markdown text for embedding into their models. Developers building coding tools use the search endpoint to bring live results into an IDE or an agent. Legal and research teams map a regulator’s site first, then crawl the documents they find. Competitive intelligence teams repeat map and crawl jobs on a schedule to track a rival’s product catalog over time.

Getting Started With The Web Data API

Decodo offers up to 10,000 free requests per month, shared across all four endpoints, with no credit card required. The quota resets monthly, so you can run a real pilot before paying for a tier. For a startup weighing the cost of building scraping infrastructure against licensing it, this free tier gives a way to test how the API fits your existing stack before committing budget.

If you’re building an AI agent or a RAG pipeline, check whether your current data pipeline duplicates work that a single API could handle. Watch how the free tier performs on your actual use case before you commit to a paid plan. Pay attention to request limits and whether the data quality holds up at the volume your product needs. If your pipeline depends on crawled data staying accurate over time, tools like Labrika show how comparing crawled versus indexed content can catch gaps before they quietly undermine your results.


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