Akkadia Scraper
Spider read akkadia.org in 3.5 s without a browser and returned 414 lines of clean markdown, including sections like "Where Does the Energy Go?", "Simplifying Parallel Programming" and "Fast, less-complicated, lock-free Data Structures".
No redistribution of any part allowed without prior authorization.## Where Does the Energy Go?for a talk at the 2010 Red Hat Summit. It providessome understanding about the energy use of computer systems. To many peopleit is not really clear how large the issue of energy consumption is and wherethe energy really goes. The talk contains recommendations and also shows waysto discover reasons for energy waste.## Simplifying Parallel Programmingfrom the 2010 Red Hat Summit provides a snapshot of the techniquesavailable to programmers for adding parallelism to their programs. After ashort introducetion into the problem set various techniques (all but oneavailable in RHEL today, all soon, some Linux-specific) are explained. Theirmerits and problems are pointed out to allow the reader to make an informeddecision for the problem at hand. There is no one-size-fits-all solution.## Fast, less-complicated, lock-free Data Structuresupcoming hardware support for transactional memory and the way it willchange data structures. The talk explains the basics and providesmotivation. Short of having access to hardware that the best I can do to## Utilizing the other 80% of your system's performance: Starting with VectorizationAt the ACM Applicative conference in NYC on 2015-2-26 I gave a talk on vectorization.Not that it should be necessary, vectorization is around for a long time. But I findthat most programmers still don't know how much is at stake and where to start. Thistalk is a short introduction into the possibilities.## Speed-Up and Easier Programming with Transactional MemoryOne more talk about transactional programming. Introducing the problem to be solved,the conceptual solution, requirements, and the software/hardware solutions.slides are from a meeting Samy Bahra, Jeff Birnbaum, and I put## Parallel 2016I gave a keynote and another talk at the Parallel 2016 conference in Heidelberg, Germany.The keynote is meant to provide an introduction into theThe 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 akkadia.org.
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://akkadia.org");
// 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.akkadia.org", {
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 akkadia.org costs to scrape.
The capture above cost $0.000056 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.
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- Balance never expires
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Start scraping akkadia.org.
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.