Tempo Scraper
Spider read tempo.io in 407 ms without a browser and returned 33 lines of clean markdown, including sections like "Structure", "Training Period" and "Chart Start Date".
### StructureSelect the structure to use as the data source for the delivery.This structure should have been defined previously, according to the hierarchy described above.### Training PeriodSelect how many weeks of historical data to use to estimate the throughput of each team. For example, selecting “4 weeks” will limit the data Structure.Deliver uses to calculate each team's throughput to the most recent four weeks.We typically recommend setting this to "Unlimited" at the start of the project, so Structure.Deliver can pull from as much historical data as is available. After the delivery is about 75% complete, we suggest setting it to 6 to 8 weeks, which will makeStructure.Deliver more sensitive to current trends for each team. This setting can be adjusted at any time.Team throughput estimations are based on historical data from the delivery's source structure only. If a team is working on more than one delivery, their throughput estimate may be different for each.### Chart Start DateSelect the starting date for the chart. This does not have to be the project start date. It is simply the date the first data will appear on the chart.### Delivery LeadEnter the user name or email address ofthe main contact for this delivery. This is the person someone should go to if they have a question about the delivery.### Grace PeriodStructure.Deliver issues a warning whenever a team's trending date is past the delivery's target date. By setting a grace period, you can avoid these warnings when a trending date falls within a specified range of the the target date.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 tempo.io.
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://tempo.io");
// 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.tempo.io", {
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 tempo.io costs to scrape.
The capture above cost $0.000108 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 tempo.io.
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.