Streamlit Scraper
Spider read streamlit.io in 141 ms without a browser and returned 765 lines of clean markdown.
~~> MachineLearning](https://twitter.com/hashtag/MachineLearning?src=hash)~~> streamlit](https://twitter.com/streamlit)> to bring some advanced models + visuals to a non-technical team. Very easy to build & deploy and very impressive final product.> Honestly, thinking more about it, I think this is a game-changer like IPython Notebooks were in 2013. https://twitter.com/calogica/status/1180844807259734016> I spent the day playing with Streamlit, which is like Shiny for python, and here's my initial review:> Put together this simple PCA dashboard with~~> streamlit](https://twitter.com/streamlit)> and~~> plotlygraphs](https://twitter.com/plotlygraphs)> tonight. Streamlit is such a pleasure to use and will definitely be my first choice for my dashboarding needs> https://github.com/benjaminjack/streamlit-pca~~> datascience](https://twitter.com/hashtag/datascience?src=hash)~~> streamlit](https://twitter.com/streamlit)> hype is real, this app went from zero to deployed in one night!~~> DataScience](https://twitter.com/hashtag/DataScience?src=hash)> https://nba-roster-turnover.herokuapp.com/~~> streamlit](https://twitter.com/streamlit)> and for the first time in a very long while, or ever, I don't swear under my breath while writing the UI/demo code for a~~> DataScience](https://twitter.com/hashtag/DataScience?src=hash)> use-case. Heck it's even enjoyable! They do right everything Jupyter notebooks got wrong.~~> MachineLearning](https://twitter.com/hashtag/MachineLearning?src=hash)>~~> webapps](https://twitter.com/hashtag/webapps?src=hash)> my time distribution was:~~> streamlit](https://twitter.com/streamlit)> it has become:> Streamlit is a blessing for data scientists. There’s no two ways about it. It not only helps them to build ML web applications, but also conveniently share and demonstrate their models to stakeholders, customers and colleagues especially if they are non-technicalThe 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 streamlit.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://docs.streamlit.io/develop/api-reference");
// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();
console.log(data);
await spider.close();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://docs.streamlit.io/develop/api-reference");
await page.content(8000);
const data = await page.extractFields({
title: "h1",
sections: "article h2",
components: "article h3 a",
descriptions: "article p",
codeExamples: "article pre code",
navItems: "[class*='sidebar'] a",
});
console.log(data);
await spider.close();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 streamlit.io costs to scrape.
The capture above cost $0.000533 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 streamlit.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.