# Web Scraping for AI & Model Training

##  Feed your models, agents, and RAG with fresh, structured web data. 

 The open web is the largest source of training-grade text, structured records, and human-generated content. Scrapfly turns any URL set into a clean corpus - with anti-bot bypass, JS rendering, and LLM-ready output formats built in.

 [ Get Free API Key ](https://scrapfly.io/register) [ Web Scraping API ](https://scrapfly.io/products/web-scraping-api) 

 1,000 free credits. No credit card required. 

 

  

 

 

 

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## 5B+

scrapes/month platform-wide

 



 

## 3

output formats: Markdown / JSON / HTML

 



 

## 99%+

success rate on protected targets

 



 

## RAG-ready

structured output for retrieval pipelines

 



 

 

 

---

 // FORMULA## Turn the open web into training-grade data.

 `URL set` + `Extraction` = Corpus 

Scrape any public page. Extract structured records or clean markdown. Stream to JSONL. Feed your model.

 

 

---

 COVERAGE## Everything a corpus pipeline needs

From seed URLs to shard-ready JSONL. Each step covered.

 

 // FEATURED ### Corpus Collection at Scale

Start from a seed list, crawl linked pages, deduplicate by URL hash, convert to Markdown, and stream shards to JSONL. Scrapfly handles rate control, retries, and anti-bot bypass end-to-end.

 **Seed URLs**your starting URL set, a sitemap, or a search result page

 

 **Crawl + Dedup**follow links depth-first; skip already-seen URLs by hash

 

 **Markdown conversion**clean, boilerplate-free text ready for tokenization

 

 **JSONL shards**stream records to disk; append to existing corpus files

 

 

 



 

 

 ### Structured Extraction

Turn HTML into typed records using a schema, a natural-language prompt, or automatic AI extraction. Output is always JSON - no regex, no custom parsers.

**Schema**typed fields

**Prompt**natural language

**Auto**zero config

 

[Extraction API](https://scrapfly.io/products/extraction-api)

Prompt extraction

JSONL output

 

 



 

 ### RAG Freshness

Retrieval pipelines go stale. Schedule periodic re-scrapes, diff against the previous version, and only re-embed changed documents.

 **Scheduled poll**re-scrape on a cron cadence

 

 **Dedupe + delta**only process changed content

 

 

 



 

 

 ### Agent Tool Use

Expose Scrapfly as a tool in your agent loop. Scrape, extract, and crawl on demand - inside Claude, ChatGPT, Cursor, or any MCP-compatible host.

[MCP Server](https://scrapfly.io/products/mcp-cloud)

Claude

ChatGPT

Cursor

 

 



 

 ### Public Web Data Only

Scrapfly is designed for scraping publicly accessible pages. We respect robots.txt directives and do not facilitate scraping of pages that require authenticated access or that explicitly prohibit automated access in their Terms of Service. Your pipeline, your responsibility - build it on a foundation that respects the web.

 



 

 

 ### Anti-bot Bypass

Public pages behind Cloudflare, DataDome, Akamai, and PerimeterX are still accessible with the right client. Scrapfly handles fingerprint coherence, session management, and challenge resolution automatically.

[Cloudflare](https://scrapfly.io/bypass/cloudflare)

[DataDome](https://scrapfly.io/bypass/datadome)

[Akamai](https://scrapfly.io/bypass/akamai)

[PerimeterX](https://scrapfly.io/bypass/perimeterx)

 

 



 

 

 

---

  - Web Scraping API
- Extraction API
- Crawler API
- Cloud Browser
- MCP Server
 
 

Products

## One platform. Every step of your pipeline.

From raw HTML to a structured corpus. Pick the product that fits each step.

   Web Scraping API

Fetch any public URL with anti-bot bypass, JS rendering, proxy rotation, and automatic retries. Returns HTML, Markdown, or plain text.

 [ Landing page ](https://scrapfly.io/products/web-scraping-api) 

 

   Extraction API

Turn HTML into structured JSON using a schema or a natural-language prompt. LLM-powered, zero custom parser code.

 [ Landing page ](https://scrapfly.io/products/extraction-api) 

 

   Crawler API

Traverse entire sites with follow rules, depth limits, and rate control. Every page runs through the Web Scraping API automatically.

 [ Landing page ](https://scrapfly.io/products/crawler-api) 

 

   Cloud Browser

Launch a real stealth Chromium session for pages that require full JS execution or DOM interaction before content is visible.

 [ Landing page ](https://scrapfly.io/products/cloud-browser-api) 

 

   MCP Server

Expose scrape, extract, screenshot, and crawl as tool calls in any MCP-compatible AI host - Claude, Cursor, ChatGPT, and more.

 [ Landing page ](https://scrapfly.io/products/mcp-cloud) 

 

 

 [Get Free API Key](https://scrapfly.io/register) 

 



 

---

 CODE## From URL to clean Markdown in a few lines

Scrape any page and emit LLM-ready Markdown for training or RAG pipelines.

 

Scrape a Wikipedia page and get clean Markdown, ready to tokenize.

     Python TypeScript HTTP / cURL  

    

 ```
from scrapfly import ScrapeConfig, ScrapflyClient, ScrapeApiResponse
from scrapfly.scrape_config import Format

client = ScrapflyClient(key="API KEY")

api_response: ScrapeApiResponse = client.scrape(
    ScrapeConfig(
        url='https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture)',
        asp=True,
        render_js=True,
        # emit clean Markdown - no boilerplate, ready for tokenization
        format=Format.MARKDOWN,
    )
)
# LLM-ready training text
print(api_response.content[:500])
```

 ```
import {
    ScrapflyClient, ScrapeConfig
} from 'jsr:@scrapfly/scrapfly-sdk';

const client = new ScrapflyClient({ key: "API KEY" });

const api_response = await client.scrape(
    new ScrapeConfig({
        url: 'https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture)',
        asp: true,
        render_js: true,
        // emit clean Markdown - no boilerplate, ready for tokenization
        format: 'markdown',
    })
);
// LLM-ready training text
console.log(api_response.result.content.substring(0, 500));
```

 ```
http https://api.scrapfly.io/scrape \
  key==$SCRAPFLY_KEY \
  url=="https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture)" \
  asp==true \
  render_js==true \
  format==markdown
```

 

 

 [ Python SDK docs → ](https://scrapfly.io/docs/sdk/python) [ TypeScript SDK docs → ](https://scrapfly.io/docs/sdk/typescript) [ HTTP API docs → ](https://scrapfly.io/docs) 

 

 

 

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 AI WORKFLOWS## Automate with AI & Agents

Connect Scrapfly directly to your AI agent or automation platform.

 

 ### MCP Server

The Scrapfly MCP Server exposes scrape, extract, screenshot, and crawl as tool calls. Any MCP-compatible host - Claude Desktop, Cursor, Claude Code, or a custom agent - can call these tools directly from a natural-language task. No API wrapper needed.

 [Learn about MCP Server](https://scrapfly.io/products/mcp-cloud) 



 

 ### Agent-Friendly Output

Every Scrapfly response is a stable JSON envelope with `success`, `result.content`, and `result.status_code`. Predictable shape means your agent code never needs to parse log output or handle format surprises. Failure modes are first-class: `success: false` + `error.code`.

 



 

 

 

---

  FAQ## Frequently Asked Questions

 

  ### How to unblock access to AI training data rich websites?

 Some websites deploy anti-bot systems that block automated access even to publicly visible pages. You can harden your own scrapers using the techniques covered in our [scraping blog](https://scrapfly.io/blog), or let the [Scrapfly Web Scraping API](https://scrapfly.io/products/web-scraping-api) handle bypass automatically - including JS rendering, fingerprint coherence, and proxy rotation.

 

   ### Is web scraping AI training data legal?

 Generally, scraping publicly accessible web pages for AI training is permitted in many jurisdictions, but the legal landscape is still evolving. It is best practice to respect robots.txt directives, avoid scraping Personally Identifiable Information (PII), and review the Terms of Service of each target. For a deeper overview, see our [web scraping laws](https://scrapfly.io/is-web-scraping-legal) article.

 

   ### What AI training data can be scraped?

 It depends on the model being trained. For LLMs, user-generated content such as forum posts, comments, tutorials, and documentation works well. For other AI applications, images, video metadata, code snippets, and structured product records are common targets. In all cases, limit collection to publicly visible pages and avoid scraping personal data.

 

   ### What is a Web Scraping API?

 A [Web Scraping API](https://scrapfly.io/products/web-scraping-api) is a service that abstracts the complexity of web scraping: anti-bot bypass, JS rendering, proxy management, retries, and output formatting. You send a URL; the API returns clean content. This lets you focus on building your pipeline rather than maintaining scraping infrastructure.

 

   ### How can I access the Web Scraping API?

 The API is accessible from any HTTP client including curl, httpie, and any language's HTTP library. For first-class support, we offer [Python](https://scrapfly.io/docs/sdk/python) and [TypeScript](https://scrapfly.io/docs/sdk/typescript) SDKs. Start with a free account - 1,000 credits, no credit card required.

 

   ### Are proxies enough to scrape data for AI training?

 Not on modern protected sites. Most anti-bot systems analyze TLS fingerprints, HTTP/2 frame order, browser signals, and behavioral patterns - not just the IP address. Bypassing them reliably requires combining proxy rotation with fingerprint coherence, session management, and JS rendering. Scrapfly handles all of these as a single managed service.

 

  

 

  ---

 // GET STARTED### Build your training corpus from the open web.

Free account, 1,000 credits, no credit card. Anti-bot bypass, JS rendering, and LLM-ready output included from day one.

 

 [ Get Free API Key ](https://scrapfly.io/register) [See all use cases](https://scrapfly.io/use-case/web-scraping)