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ksu.edu.sa · HTTP 200

Edu Scraper

Spider read ksu.edu.sa in 2.1 s without a browser and returned 502 lines of clean markdown.

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Response ccis.ksu.edu.sa/en/cs/cs-prog-guides.md markdown · 502 lines
The student selects a research topic and conducts a literature review in relation to the topic.CSC 697: Independent Research Study -2- 2(2+0)CSC 698: Advanced Topics in Computer Science 3(3+0)In this course, students study some advanced topics in Computer Science. The content and syllabi of this course is designed by a member of staff and approved by the department.CSC 699: Thesis Proposal Preparation 1(1+0)Identify an original research topic. Formulate a problem statement. Understand the background of the research project. Study related work. Develop or adapt potential research directions. Summarize the state of the project as a thesis proposal.CSC 700: Thesis (12) thesis units [Prerequisite: CSC 699]Complete the research work proposed (thesis proposal). Publish the results of the research. Write a dissertation which describes the research work and presents the results. Final defense.STAT503: Probability & Mathematical Statistics 3(3+0)Probability. Random Variable. Expectation. Some Distributions. Functions of R.V. Sampling distributions. Estimation. Hypothesis, Testing, Correlation and Regression. Analysis of Experiments.MATH505: Numerical Linear Algebra 3(3+0) [Prerequisite: MATH242, MATH244, MATH253, MATH254]Direct & Iterative methods for solving system of linear equations (including cases with special matrices) along with error convergences analysis. Numerical methods for solving least square problems and approximation of functions. Various methods for computing the Eigen values and Eigenvectors for symmetric and non-symmetric matrices. Applications.MATH507: Advanced Operation Research 3(3+0) [Prerequisite: MATH253, MATH254]Linear optimization models. Geometric interpretation. Simplex, two phase, revised simplex and Karmarkar's methods for solving linear programming. Duality and sensitivity analysis. Parametric programming. Applications. Introduction to the nonlinear programming.
Code · Fields · Cost · Run it keyless, no account

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 ksu.edu.sa.

ksu-edu-sa-scraper.ts
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://ksu.edu.sa");

// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();

console.log(data);
await spider.close();
ready to run · spider-browser, no selectors

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Fields you can pull.

Course NameInstitutionDescriptionDuration

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 ksu.edu.sa costs to scrape.

The capture above cost $0.000255 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
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Run it keyless, no account

curl -X POST https://api.spider.cloud/scrape -H "Content-Type: application/json" -d '{"url": "https://ccis.ksu.edu.sa/en/cs/cs-prog-guides", "return_format": "markdown"}'

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Start scraping ksu.edu.sa.

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.