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Turn any URL into clean, LLM-ready data.

The Scrape endpoint extracts markdown, HTML, text, JSON, screenshots, and more — in real time.

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Trusted by the best startups startups in the world

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.

Explore more Use Cases

Trusted by Amazing Teams Building the Future of AI

  • Michelle Julia
    Co-founder & CEO Aurium

    Olostep is the best!!! We automated entire data pipelines with just a prompt

  • Richard He
    Co-founder & CEO Openmart

    Olostep has become the default Web Layer infrastructure for our company

  • Max Brodeur-Urbas
    Co-founder & CEO Gumloop

    Olostep works like a charm! And your customer service is exceptional

  • Rob Hayes
    Co-founder Merchkit

    Olostep lets us turn any website into an API. Great product, great people

  • Brandon Cohen
    Co-founder & CTO CivilGrid

    I highly recommend Olostep, great product!

  • Co-founder & CEO Gedd.it

    We verify coupon codes at scale. Love Olostep. It works on any e-commerce

  • Trevor West
    Co-founder & CEO Podqi

    Olostep is the best API to search, extract, and structure data from the Web. Happy to be customers

  • Rida Naveed
    Co-founder Zecento

    We use /batches combined with parsers and it's magical how we can get structured data at large scale

  • Kieran V.
    Growth PlotsEvents

    Olostep allowed us to search and structure events data across the Web

  • Paul Mit
    Founder Foundbase

    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

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Frequently asked questions

Product & Capabilities
  • 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.

Usage & Automation
  • 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.

Pricing & Plans
  • 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.