Carto Scraper
Spider read carto.com in 122 ms without a browser and returned 187 lines of clean markdown.
Senior Vice President, TMH Private Flood DivisionWith CARTO's AI Agents, predictive growth insights move beyond data analysts and into the hands of every decision-maker. Now, anyone can ask our data questions like 'Which neighborhoods will grow fastest?' and get instant answers - speeding up site planning and providing a real competitive edge.Many firms are still using PDF reports and Powerpoint. Using CARTO, we are now moving beyond static information to provide digital solutions and a superior experience. By giving our consultants an unprecedented amount of information on locations, we can achieve our goals faster - using data to move away from traditional intuition-based decision-making.Global Head of Application Engineering at Valuation Advisory, JLLIn our journey towards a fully self-serve model, we've been exploring ways to put mobility insights directly into the hands of our teams. CARTO's approach, using AI Agents built on the Agentic GIS platform, makes this possible.Lead Geospatial Data ScientistAt EQT, we constantly seek ways to enhance the strategic value of our investments and improve the decision-making process. CARTO has been a game-changer for EQT, their cloud-native platform, seamless data integration, Builder for visualization and Analytics Toolbox make it much easier for us to assess investment opportunities and provide strategic advice to our portfolio companies.The ability to scale our data is a big selling point, as well as the features in the Analytics Toolbox. I also love how easy it is to plot something using CARTO Workflows. As a team leader, I am looking forward to what we can create and achieve using CARTO.Data & Analytics Manager at Mercado LibreCARTO has allowed us to move away from disparate solutions to one single app to understand site performance across our dealership network in Europe, which has enabled us to be more data-driven & increase sales.Network Development Manager at Group RenaultThe same call, in code.
The capture above came back as markdown. These examples add a key, so you get browser rendering, proxies, and concurrency on carto.com.
import { SpiderBrowser } from "spider-browser";
const spider = new SpiderBrowser({
apiKey: process.env.SPIDER_API_KEY!,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://carto.com");
// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();
console.log(data);
await spider.close();import { Spider } from "@spider-cloud/spider-client";
const spider = new Spider({ apiKey: process.env.SPIDER_API_KEY! });
const result = await spider.scrapeUrl("https://www.carto.com", {
return_format: "markdown",
});
console.log(result);Ready for volume? Get an API key →
Fields you can pull.
Spider names these from the page. The capture above came back as markdown; the same
call with return_format: "json" returns them as keys.
What carto.com costs to scrape.
The capture above cost $0.000311 to fetch. Pricing is $1 per GB of pre-transformation bandwidth plus $0.001 per CPU minute, so a page like this one lands at a fraction of a cent. Failed requests are billed at $0.
- Free balance on signup
- No card required to test
- Balance never expires
Run it keyless, no account
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Start scraping carto.com.
You already have the call. A key raises the rate limit and turns on browser rendering, proxies, and concurrency. Balance never expires, and top-ups go through secure checkout.