Wikibooks Scraper
Spider read wikibooks.org in 452 ms without a browser and returned 738 lines of clean markdown, including sections like "Example 2: Balancing a Matrix Using Gravity Model", "Additional Questions" and "Variables".
### Example 2: Balancing a Matrix Using Gravity ModelYou are given the travel times between zones, trips originating at each zone (zone1 =15, zone 2=15) trips destined for each zone (zone 1=10, zone 2 = 20) and asked to use the classic gravity modelTravel Time OD Matrix (Cij{\displaystyle C_{ij}})Impedance Matrix (f(Cij){\displaystyle f(C_{ij})})Balancing Iteration 0 (Set-up)Balancing Iteration 1 (Tij,iteration1=TO,iTD,jf(Cij){\displaystyle T_{ij,iteration1}=T_{O,i}T_{D,j}f(C_{ij})})Row Total TO,i′{\displaystyle T'_{O,i}}Normalizing Factor NO,i=TO,i/TO,i′{\displaystyle N_{O,i}=T_{O,i}/T'_{O,i}}Balancing Iteration 2 (Tij,iteration2=Tij,iteration1∗NO,i,iteration1{\displaystyle T_{ij,iteration2}=T_{ij,iteration1}*N_{O,i,iteration1}})Normalizing Factor ND,j=TD,j/TD,j′{\displaystyle N_{D,j}=T_{D,j}/T'_{D,j}}Balancing Iteration 3 (Tij,iteration3=Tij,iteration2∗ND,j,iteration2{\displaystyle T_{ij,iteration3}=T_{ij,iteration2}*N_{D,j,iteration2}})Normalizing Factor = ND,j=TD,j/TD,j′{\displaystyle N_{D,j}=T_{D,j}/T'_{D,j}}Balancing Iteration 4 (Tij,iteration4=Tij,iteration3∗NO,i,iteration3{\displaystyle T_{ij,iteration4}=T_{ij,iteration3}*N_{O,i,iteration3}})Balancing Iteration 16 (Tij,iteration16=Tij,iteration15∗ND,i,iteration5{\displaystyle T_{ij,iteration16}=T_{ij,iteration15}*N_{D,i,iteration5}})So while the matrix is not strictly balanced, it is very close, well within a 1% threshold, after 16 iterations. The threshold refers to the proximity of the normalizing factor to 1.0.## Additional Questions## Variables- Trips arriving at destination- Effective Trips arriving at destination, computed as a result for calibration to the next iteration- Total number of trips between origin- Calibration parameter for Origins- Calibration parameter for Destinations- Cost function between origin## Further reading 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 wikibooks.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://wikibooks.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.wikibooks.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 wikibooks.org costs to scrape.
The capture above cost $0.00033 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 wikibooks.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.