GET streamlit.io HTTP 200141 ms33.6 KB$0.000533 captured Aug 7, 2026
streamlit.io, as data
One API turns any streamlit.io page into markdown, structured JSON, its link graph or a screenshot, and crawls the whole site the same way. The panel shows the real response we captured.
- Render mode
- Plain HTTP, no browser needed
- Response
- HTTP 200 in 141 ms
- Page size
- 33.6 KB of markdown, 765 lines
- Fields
- Component name, Description, Parameters, Return type and 4 more
- Captured
- Aug 7, 2026
Free balance on signup, no card. This streamlit.io page cost $0.000533 to fetch.
~~> 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-technicalWhat Spider does on streamlit.io
Same key, five endpoints. The numbers under a cell were measured on this page.
Page to markdown
Clean text for RAG and LLM context, boilerplate removed. The lane that runs without a key.
141 ms · $0.000533Page to JSON
Spider reads the page and names the fields. Pass your own schema when you need exact keys.
Rendered capture
Real Chromium, full-page PNG. The same call also returns the rendered HTML.
The call behind the panel
This request produced the response above. Paste it with your key and you get the same bytes.
curl -X POST https://api.spider.cloud/scrape \
-H "Authorization: Bearer $SPIDER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://streamlit.io/", "return_format": "markdown"}'from spider import Spider
app = Spider()
params = {"return_format": "markdown"}
page = app.scrape_url("https://streamlit.io/", params=params)
print(page[0]["content"])import { Spider } from "@spider-cloud/spider-client";
const app = new Spider();
const [page] = await app.scrapeUrl("https://streamlit.io/", {
return_format: "markdown",
});
console.log(page.content);What streamlit.io costs
Multiplied from the measured 33.6 KB page. Estimates round to the cent.
1 GB of transfer costs $1, plus $0.001 per CPU minute, and failed requests cost $0. Crawling daily? The Unlimited plan is a flat monthly rate.
Point this at the rest of streamlit.io.
The capture above took 141 ms and cost $0.000533. The same call takes any URL on streamlit.io.