Co Scraper
Spider read uls.co.za in 2.7 s without a browser and returned 78 lines of clean markdown.
« Using asterisk as a RAS serverI came to realize that this is actually pretty perfect for abacus. Consider this, we have users, so we create a base called users. Then we assume the next level is the username, followed by whatever attributes we want (like team name etc …), so we could end up with user jkroon (being the admin) looking something like:Whereas a contestant could look like:Now the site itself could again look something like this:name=University of PretoriaSimple. No real glam here. A problem can be stored something like:description/contenst=#binary data#description/desc=The problem specificationsamplein/desc=sample input data in specificationsamplein/content=#more binary#The above might be slightly confusing. Basically the backend now has two calls up the database:* **get(key[, attime])** – Call to get the value (C++ string) of a key, eg db.get(“problems.Blue.files.samplein.name”) which will return the string “sample.in”.* **set(key, value[, at, serv, upkey])** – Will just set a key to a specific value, the at serv and upkey values are not important from a module perspective but can be used internally to add historic revisions when replicating. Also why we need the attime in the previous call.Other calls will be required for other purposes like finding what revisions was available etc …The client itself actually also needs to become thinner, in that most of the processing needs to happen with server modules. The server modules should have a way of telling the client what to display and how to act rather than the client being overly intelligent. Similar to a browser concept, albeit today’s browsers are pretty damn smart, it still uses javascript (coming from the server) to do what they do.This has the advantage that we can replicate the calls to set() above only. Each server will automatically add the at value as now(), it’s own server name and upkey ([serv,upkey] should be unique) before storing in the backing store and replicating. The 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 uls.co.za.
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://uls.co.za");
// 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.uls.co.za", {
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 uls.co.za costs to scrape.
The capture above cost $0.000059 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 uls.co.za.
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.