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Bright Data Scraping FunctionsBright Data

Speed up your development with a runtime environment built to scrape, unlock, and scale web data collection.

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Vendor

Bright Data

Company Website

Company Website

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Product details

What are Serverless Functions

Serverless Functions are a fully hosted cloud solution designed for developers to build fast and scalable scrapers in a JavaScript coding environment. Built on Bright Data’s unblocking proxy solution, the IDE includes ready-made functions and code templates from major websites – reducing development time and ensuring easy scaling.

Build a winning scraper

73+

  • Ready-made JavaScript functions 38K+
  • Scrapers built by our customers 195
  • Countries with proxy endpoints

Develop more, maintain less

Reduce mean time to deliver by using ready-made JavaScript functions and online IDE to build your web scrapers at scale.

Features

Scraping-ready functions

Choose from 70+ scraping-proof code templates and implement custom changes that match your specific use.

Online dev environment

Fully-hosted IDE to allow scalable CI/CD processes.

Embedded debugger

Review logs and integrate with Chrome DevTools to nail down root cause analysis.

JavaScript browser interaction

Control browser actions using JavaScript protocols.

Built-in parser

Write your parsers in cheerio and run live previews to see what data it produced.

Observability dashboard

Track, measure and compare between your scrapers and jobs in a single dashboard.

Auto-scaling infrastructure

Invest-less in hardware and software maintenance and shift your compute processes into the cloud.

Proxy auto-pilot

Run your scrapers as a real-user via any geo-location with built-in fingerprinting, automated retries, CAPTCHA solving, and more.

Integration

Trigger scrapers on a schedule or by API and connect to numerous 3rd party service providers.

Data collection process

Crawl website

Uncover an entire list and hierarchy of website URLs matching your need in a target website. Use ready made functions for the site search and clicking the categories menu, such as:

  • Data extraction from lazy loading search (load_more(), capture_graphql())
  • Pagination functions for product discovery
  • Support pushing new pages to the queue for parallel scraping by using rerun_stage() or next_stage()

Scrape data

Build a scraper for any page, using fixed URLs, or dynamic URLs using an API or straight from the discovery phase. Leverage the following functions to build a web scraper faster:

  • HTML parsing (in cheerio)
  • Capture browser network calls
  • Prebuilt tools for GraphQL APIs
  • Scrape the website JSON APIs

Validate data

Run tests to ensure you get the data you expect

  • Define the schema of how you want to receive the data
  • Custom validation code to show that the data is in the right format
  • Data can include JSON, media files, and browser screenshots

Deliver data

Deliver the data via all the popular storage destinations:

  • API
  • Amazon S3
  • Webhook
  • Microsoft Azure
  • Google Cloud PubSub
  • SFTP
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