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Scraping Smarter with Bright Data: How We Combine Proxy Power with Automation

3 min read
Bright Data Web Scraper

Data is fuel — but getting to it can be messy.

Most companies rely on incomplete APIs, stale CSV exports, or expensive third-party aggregators.
We don’t.
At Scalevise, we use Bright Data, one of the most powerful platforms for large-scale web data extraction — and we pair it with automation tools like Make, or custom scripts in Python or Node.js.

Whether it’s scraping LinkedIn profiles, market data, competitor insights, or automating lead enrichment — Bright Data gives us full control, stability, and compliance.

Why Bright Data?

Bright Data is more than just a proxy provider. It’s a complete infrastructure layer for web scraping at scale. It supports:

  • Residential, ISP & mobile proxies
  • SERP scraping
  • Prebuilt datasets (Amazon, Zillow, etc.)
  • CAPTCHA-solving
  • Javascript rendering via headless browsers
  • Powerful proxy rotation and IP masking

But where it shines is in flexibility. You can use it:

  • Inside no-code platforms (like Make.com)
  • As native modules in scrapers
  • As a proxy layer for your Chromium headless browser
  • With their own datasets API or Web Unlocker

That means you can extract any public data — with minimal friction.

Our Go-To Setup: Bright Data + Make

Make.com now features a full integration with Bright Data. It allows you to:

  • Scrape from LinkedIn, Facebook, Instagram, YouTube
  • Pull live datasets (e.g. Zillow, Amazon)
  • Use “Web Unlocker” for hard-to-reach pages
  • Chain scraped data into Airtable, Notion, CRMs, Google Sheets or your backend
  • Schedule, trigger, and process data automatically
Bright Data Make Scraping Methods

No custom code required.

Want to enrich company names from a list with public data from LinkedIn or Google Maps?
We’ve built that. Fully automated. Runs every morning.

Going Deeper: Bright Data in Custom Scripts

For complex scraping, Bright Data gives us the infrastructure to run headless browsers (e.g. Chromium or Puppeteer) with proxy rotation.

Typical use case:

  • Start a Node.js script using Puppeteer
  • Use Bright Data proxy configuration (residential or mobile)
  • Render full pages and extract dynamic content
  • Export enriched data to a database or analytics layer

In Python, we combine Bright Data with tools like:

  • Requests
  • BeautifulSoup
  • Selenium (when rendering is required)
  • Async workers for queue-based scraping

This lets us build real-time dashboards, competitive monitoring, or custom enrichment APIs that run at enterprise scale.

LinkedIn Scraping — The Smart Way

We’re often asked: “How can I extract LinkedIn data reliably?”

Bright Data provides verified modules for LinkedIn scraping via:

  • Prebuilt dataset APIs
  • Custom filtered snapshots
  • Web unlockers with CAPTCHA bypass
  • Proxy pools that avoid blocks

We combine these with Make to:

  • Enrich CRM records
  • Trigger smart lead scoring
  • Push updates to sales dashboards
  • Notify account managers in Slack

The result: zero manual lookup, full compliance, and faster sales cycles.

Why Not Just Use Free Tools?

Simple: they break.
Free scrapers get blocked, return incomplete data, or stop working when page layouts change.

Bright Data gives us:

  • Stability at scale
  • Ethics and legal compliance (CCPA, GDPR, ISO)
  • Built-in redundancy and infrastructure
  • 24/7 monitoring and failover logic
  • Full control over region, device, timing, and rate

For production workflows — that’s non-negotiable.

What We Build with It at Scalevise

We use Bright Data in:

  • AI Agents that reason with fresh web data
  • Competitor monitors that scrape pricing daily
  • Internal dashboards for clients showing market shifts
  • Lead enrichment systems that trigger outreach workflows
  • Content scanners that identify duplicate listings or misused assets
  • Automated onboarding flows that pull public records or legal data

And we connect it all via custom middleware, Make.com, or Laravel APIs, depending on the client's scale and security requirements.

Thinking About Scraping? Think Infrastructure First.

Web scraping isn’t just about getting the data. It’s about getting it:

  • Legally
  • Reliably
  • At scale
  • In sync with your systems

Bright Data gives us the backbone.
Automation gives us the speed.
And our engineering team ensures it runs without breaking next week.

Want to See What’s Possible?

→ Try our free AI Website Scan — and see if your business could benefit from smarter data flows
→ Talk to our team — and let’s design a scraping & automation stack that fits your goals