Ac Scraper
Spider read strath.ac.uk in 3.3 s without a browser and returned 123 lines of clean markdown.
When using a database service, it is important to know what material you are searching across.While it might be obvious that you won’t find a journal article if searching the *UK Parliamentary Papers* database, other considerations are less obvious. For example, you may need to check:* which sources are covered in a database,* which countries are covered.It is also important to know whether you are searching across full-text documents or abstracts (that is, summaries) as this can not only impact on what documents you retrieve, but also how you can search most effectively.You can usually find this information by following links within databases to ‘coverage’, ‘content’, ‘information’, ‘about’ , ‘help’ etc.'Search syntax' - using operators and connectors (Boolean searching)You can use these connectors to express the relationship between search terms in order to increase or reduce the number of results.Many are common between different databases, but some vary so always check the connectors you should be using.Be systematic when constructing searches, as you add terms and connectors take note of the effect they are having on your results.Below, you can see some of the main connector functions used across databases.Common operators/connectorsRestricts results to documents containing **both** termsExpands results to documents containing **either** termfootball**NOT **"american football"Restricts results to documents containing the first term **but not** the secondRestricts in similar way to AND but are more specific (e.g. searching for terms within a given number of words)**“**association football**”**Retrieves only documents which contain the terms appearing as an **exact phrase**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 strath.ac.uk.
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://strath.ac.uk");
// 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.strath.ac.uk", {
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 strath.ac.uk costs to scrape.
The capture above cost $0.000026 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 strath.ac.uk.
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.