Trusted by the best startups startups in the world
From URL to extracted content
One HTTP call — no headless browser fleet to run yourself.
Send a URL and formats
POST the page you want plus formats: markdown, html, text, json, screenshot, and more.
Olostep renders the page
Handles dynamic sites, actions, PDFs, and optional parsers or LLM extraction for structured JSON.
Get clean content back
Receive markdown_content, html_content, json_content, hosted URLs, links_on_page, and metadata.
"name": 'Olostep Technologies',
"mission": 'Build infrastruct...',
"features": 'monitors, batch...'
}
Built for production scraping
The /v1/scrapes API is designed for apps that need reliable page extraction at scale.
Multiple formats
Request markdown, html, text, json, raw_pdf, or screenshot in one call.
Parsers & LLM extract
Use pre-built parsers for popular sites or define a schema for LLM-powered extraction.
Hosted assets
Get hosted URLs for large payloads alongside inline content fields.
Developer-friendly
One POST with url_to_scrape and formats — integrate in minutes.
Scrape a page. Choose your formats.
Mandatory: url_to_scrape and formats.
Add parsers or llm_extract when you need structured JSON.
Get clean data from any URL
1# pip install olostep
2from olostep import Olostep
3
4client = Olostep(api_key="YOUR_REAL_KEY")
5
6result = client.scrapes.create(
7 url_to_scrape="https://en.wikipedia.org/wiki/Alexander_the_Great",
8 formats=["markdown", "html"],
9)
10
11print(result.markdown_content)
12print(result.html_content)1// npm i olostep
2import Olostep from 'olostep'
3
4const client = new Olostep({ apiKey: 'YOUR_REAL_KEY' })
5
6const result = await client.scrapes.create({
7 url: 'https://en.wikipedia.org/wiki/Alexander_the_Great',
8 formats: ['markdown', 'html'],
9})
10
11console.log(result.markdown_content)
12console.log(result.html_content)1curl -s -X POST "https://api.olostep.com/v1/scrapes" \
2 -H "Authorization: Bearer <YOUR_API_KEY>" \
3 -H "Content-Type: application/json" \
4 -d '{
5 "url_to_scrape": "https://en.wikipedia.org/wiki/Alexander_the_Great",
6 "formats": ["markdown", "html"]
7 }'
What you can build
Power enrichment, monitoring, and AI workflows from live web pages.
RAG & knowledge bases
Chunk clean markdown or JSON into embeddings for search and Q&A.
Price & catalog monitoring
Scrape product pages on a schedule and diff structured fields.
Lead & enrichment
Pull structured contact or company data from landing pages.
Trusted by Amazing Teams Building the Future of AI
Olostep is the best!!! We automated entire data pipelines with just a prompt
Olostep has become the default Web Layer infrastructure for our company
Olostep works like a charm! And your customer service is exceptional
Olostep lets us turn any website into an API. Great product, great people
I highly recommend Olostep, great product!
We verify coupon codes at scale. Love Olostep. It works on any e-commerce
Olostep is the best API to search, extract, and structure data from the Web. Happy to be customers
We use /batches combined with parsers and it's magical how we can get structured data at large scale
Olostep allowed us to search and structure events data across the Web
Reliable and cost-effective API for working with data. Congrats on the cool product
Start scraping with Olostep
Get clean data for your AI from any website with Olostep
Most cost-effective API. Built for scale
Frequently asked questions
What is the /v1/scrapes endpoint?
It turns any public URL into data you can feed to LLMs or pipelines: markdown, HTML, text, screenshots, or structured JSON via parsers or llm_extract.
How do I get structured JSON?
Use formats: ["json"] with a parser id, or llm_extract with a JSON schema and/or prompt. See the Scrape docs for examples.
Does it support JavaScript-heavy sites?
Yes. Olostep can render dynamic pages and supports actions (wait, click, fill_input, scroll) before extraction.
Can I exclude parts of the page?
Yes. Use parameters like remove_css_selectors and other scrape options to focus on the content you need.
What does a scrape cost?
A standard scrape is 1 credit. Parsers vary (often 1–5 credits). LLM extraction is 20 credits per request. New accounts include free credits to try.
