Use case / resilient extraction

Web scraping that survives the real web.

Rotating proxies solve one part of extraction. Tentacrawl combines them with browser rendering, deliberate retries, content validation, and clean Markdown or JSON output.

Extraction pipelineHealthy
01
Target page
HTML · SPA · dynamic content
route
02
Proxy policy
direct · sticky · rotate
render
03
Browser + validator
load · inspect · retry
format
Markdown
for RAG
JSON
for systems
Why proxies are not enough

A new IP is not a finished data pipeline.

The useful unit is not a successful HTTP request. It is a verified piece of content that your downstream system can trust.

01

Network identity

Proxies influence location, reputation, and how traffic is distributed.

02

Browser execution

JavaScript, cookies, and application state still need a real browser lifecycle.

03

Output validation

A challenge page with status 200 is still failed extraction and must be rejected.

The workflow

One extraction policy, end to end.

Keep the difficult infrastructure decisions together instead of rebuilding them inside every crawler and agent.

01

Load the real page

A managed Chromium session renders JavaScript, waits for meaningful content, and handles modern application behavior.

02

Route intentionally

Use direct traffic when it works, a sticky session when identity matters, and rotate only when the policy calls for it.

03

Detect bad responses

Status codes are not enough. Challenge screens, empty shells, and consent walls are rejected before they reach your data store.

04

Retry with context

Retries keep domain limits, session state, and failure reasons in view instead of blindly repeating the same request.

05

Return useful data

The final page becomes clean Markdown for RAG or schema-shaped JSON for typed pipelines and databases.

Application code

Your integration stays boring.

Proxy selection, browser state, and retries belong in the extraction layer. Your product should ask for data, not orchestrate infrastructure.

extract.pyMarkdown output
from tentacrawl import Crawler

crawler = Crawler(endpoint="http://localhost:8080")

page = crawler.extract(
    url="https://example.com/catalog",
    format="markdown"
)

# Clean content, ready for retrieval or an agent.
print(page.content)
Where it fits

Built for data that has to stay useful.

Market intelligence

Track products, prices, and catalog changes

Collect consistent records across dynamic storefronts without coupling your pipeline to every page layout.

Geo QA

Verify what users see in each market

Compare localized pages, availability, search results, and campaign experiences from the regions that matter.

AI ingestion

Feed agents and RAG systems clean context

Strip navigation and interface noise before content reaches embeddings, retrieval, or an agent context window.

Continuous monitoring

Watch important pages without brittle scripts

Render, validate, and normalize the same sources on a schedule while keeping failure handling in one place.

Build or operate

Keep control. Choose the workload.

Open source

Run it on your infrastructure

Own the deployment, outbound routing, browser capacity, and data path. Best for teams with existing platform operations.

Explore on GitHub
Managed

Let us operate the extraction layer

Use dedicated browser and proxy capacity without maintaining the runtime yourself. Best when your team wants reliable output, not another service to babysit.

Discuss a managed setup
FAQ

Web scraping and proxy rotation

Do I need rotating proxies for every scraping job?

No. Direct requests should remain the default when they are reliable. Proxy routing is most useful for geo-specific content, sustained collection, or targets that rate-limit a single network identity. Rotation should be policy-driven, not automatic on every request.

When should a scraper use a sticky proxy session?

Use a sticky session when several page loads belong to one logical visit, such as pagination, a multi-step flow, or content whose state depends on cookies. Rotating midway through that flow can create inconsistent results.

Are proxies enough to scrape JavaScript-heavy websites?

No. A proxy changes the network path; it does not render JavaScript, wait for application state, remove page noise, or validate the result. Reliable extraction needs browser orchestration and content checks as well.

Can Tentacrawl run with my own proxy provider?

Self-hosted deployments are designed to keep infrastructure choices under your control, including outbound routing. Managed setups can also be tailored around dedicated proxy pools and workload requirements.

What output should I use for an AI pipeline?

Use Markdown for documents that will be chunked, embedded, or placed in an LLM context window. Use schema-shaped JSON when downstream code expects stable fields such as product names, prices, availability, or timestamps.

Next step

Turn pages into reliable data.

Start with Tentacrawl →

Scrape responsibly: respect applicable law, website terms, privacy, access controls, and reasonable request rates.