GET uls.co.za HTTP 2002.7 s13.5 KB$0.000059 captured Aug 7, 2026
uls.co.za, as data
One API turns any uls.co.za page into markdown, structured JSON, its link graph or a screenshot, and crawls the whole site the same way. The panel shows the real response we captured.
- Render mode
- Plain HTTP, no browser needed
- Response
- HTTP 200 in 2.7 s
- Page size
- 13.5 KB of markdown, 78 lines
- Fields
- Title, Content, Date, Source and 2 more
- Captured
- Aug 7, 2026
Free balance on signup, no card. This uls.co.za page cost $0.000059 to fetch.
« 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. What Spider does on uls.co.za
Same key, five endpoints. The numbers under a cell were measured on this page.
Page to markdown
Clean text for RAG and LLM context, boilerplate removed. The lane that runs without a key.
2.7 s · $0.000059Page to JSON
Spider reads the page and names the fields. Pass your own schema when you need exact keys.
Rendered capture
Real Chromium, full-page PNG. The same call also returns the rendered HTML.
The call behind the panel
This request produced the response above. Paste it with your key and you get the same bytes.
curl -X POST https://api.spider.cloud/scrape \
-H "Authorization: Bearer $SPIDER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "http://jkroon.blogs.uls.co.za/general/acm-icpc-2010", "return_format": "markdown"}' from spider import Spider
app = Spider()
params = {"return_format": "markdown"}
page = app.scrape_url("http://jkroon.blogs.uls.co.za/general/acm-icpc-2010", params=params)
print(page[0]["content"]) import { Spider } from "@spider-cloud/spider-client";
const app = new Spider();
const [page] = await app.scrapeUrl("http://jkroon.blogs.uls.co.za/general/acm-icpc-2010", {
return_format: "markdown",
});
console.log(page.content); What uls.co.za costs
Multiplied from the measured 13.5 KB page. Estimates round to the cent.
1 GB of transfer costs $1, plus $0.001 per CPU minute, and failed requests cost $0. Crawling daily? The Unlimited plan is a flat monthly rate.
Point this at the rest of uls.co.za.
The capture above took 2.7 s and cost $0.000059. The same call takes any URL on uls.co.za.