Magentamarketing Scraper
Spider read magentamarketing.com in 1.2 s without a browser and returned 251 lines of clean markdown, including the section "Measurement - Starter Guide".
# Measurement - Starter GuideGoogle decides to set up a User Acquisition report to retrieve this data. The User Acquisition report provides a KPI called Exposed Installs, which can inform Google of the number of mobile devices that installed the Google Chrome app after being exposed to an ad from the "Chrome Adoption" campaign.The report parameters are set up as follows:An example filter set up for the User Acquisition report.The above report set up encompasses the known flight dates for the campaign, as well as sets the impression lookback window to 30 days.When the above report is run, the data returned will show a daily trend of mobile devices that were both exposed to an ad from the "Chrome Adoption" campaign, as well as installed the Chrome app on their mobile device after being exposed to that ad.The results will appear as such:User Acquisition Over Time example report results.In this time series graph, the KPI for Exposed Installs is trended at a daily grain between 2022-01-01 and 2022-01-15. Here is a breakdown of how these data are determined for presentation:Example data structure for determining which devices that are served can contribute to a given KPI action in Measurement.In the above data structure example it can be seen that the number of ad-exposed mobile devices that are allowed to contribute to the Exposed Installs KPI value grows as the campaign progresses through its flight dates. This is because of the 30 day Window functionality:* On the first day of the report (campaign) only those devices that installed the app after being served an ad on that same date are counted as converted towards the KPI value.* On the second day of the report (campaign) all devices that installed the app on day 2 after being served an ad on day 1 or day 2 are counted as converted towards the KPI value.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 magentamarketing.com.
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://magentamarketing.com");
// 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.magentamarketing.com", {
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 magentamarketing.com costs to scrape.
The capture above cost $0.000322 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 magentamarketing.com.
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.