ScrapingBee vs Bright Data(2026)
ScrapingBee is better for teams that need very simple api — fast to integrate. Bright Data is the stronger choice if largest and most reliable proxy network. ScrapingBee is paid (from $49/month) and Bright Data is paid (from from $1.50/1K requests).
Full feature breakdown, pricing details, and pros & cons below.
By Bikram NathLast updated
Affiliate disclosure: Some “Visit” links on this page are affiliate links. We may earn a commission if you sign up — at no extra cost to you. It does not affect our rankings or editorial coverage. Learn more.
ScrapingBee
ScrapingBee is a developer-focused web scraping API that handles headless browsers, proxy rotation, and CAPTCHA avoidance behind a single endpoint. You send a URL and get back rendered HTML or extracted data — no infrastructure to manage.
Starting at $49/month
Visit ScrapingBeeBright Data
Bright Data is an enterprise-grade web data platform offering one of the largest proxy networks (residential, datacenter, ISP, and mobile), plus Web Scraper APIs, a Web Unlocker, SERP API, and ready-made datasets. It is built for high-volume, compliance-conscious data collection.
Starting at from $1.50/1K requests
Visit Bright DataHow Do ScrapingBee and Bright Data Compare on Features?
| Feature | ScrapingBee | Bright Data |
|---|---|---|
| Pricing model | paid | paid |
| Starting price | $49/month | from $1.50/1K requests |
| Single API endpoint | ✓ | — |
| JavaScript rendering (headless Chrome) | ✓ | — |
| Automatic proxy rotation | ✓ | — |
| Premium + residential proxies | ✓ | — |
| Google search API | ✓ | — |
| AI-powered data extraction | ✓ | — |
| No-block guarantee on credits | ✓ | — |
| Residential, datacenter, ISP and mobile proxies | — | ✓ |
| Web Scraper API | — | ✓ |
| Web Unlocker (anti-bot bypass) | — | ✓ |
| SERP API | — | ✓ |
| Ready-made datasets | — | ✓ |
| Proxy Manager | — | ✓ |
| Compliance and KYC controls | — | ✓ |
ScrapingBee Pros and Cons vs Bright Data
ScrapingBee
Bright Data
Deep dive: ScrapingBee
When to choose ScrapingBee
ScrapingBee is the right choice when the team wants the simplest possible scraping API: a single endpoint that accepts a URL and returns rendered HTML, with proxy rotation and JavaScript execution handled automatically. It fits teams that do not want to manage browser infrastructure, proxy pools, or anti-bot logic, and where the scraping volume is moderate, roughly 10,000 to 500,000 pages per month. The API is stateless and requires no SDK: a simple HTTP GET with the URL and API key returns the page content. This makes it the fastest to integrate into existing codebases. The credit-based pricing is predictable: each request costs 1 credit for basic HTML, 5 credits for JavaScript rendering, and 10 to 25 credits for premium proxies. Choose ScrapingBee when the team needs a drop-in scraping API that works immediately. Avoid it when the volume exceeds 500,000 pages per month where per-credit pricing becomes expensive, or when the team needs scheduling, data storage, or workflow orchestration built into the scraping platform.
Real-world use case
A marketing team at a SaaS startup uses ScrapingBee to monitor competitor pricing pages. A daily cron job in a Next.js API route sends 50 URLs to ScrapingBee's API with JavaScript rendering enabled, parses the returned HTML for pricing table data using Cheerio, and stores the results in Supabase. The entire setup is 40 lines of TypeScript. Each request consumes 5 credits for JS rendering, so the daily cost is 250 credits. On the Freelancer plan at per month with 150,000 credits, the team has ample headroom for growth. The tradeoff: ScrapingBee returns raw HTML, so the team must write and maintain their own parsing logic. Apify or Firecrawl would extract structured data automatically. Additionally, if a competitor site changes its HTML structure, the parsing breaks silently, and the team only discovers the issue when they notice stale data.
Hidden gotchas
Credit consumption varies dramatically based on options selected per request. A basic HTML request costs 1 credit, but enabling JavaScript rendering increases it to 5. Enabling premium proxies on top of JS rendering costs 10 to 25 credits per request. A team that enables both options on all requests will burn through their credit allocation 10 to 25 times faster than one using basic HTML only. The AI data extraction feature, which uses an LLM to extract structured data from HTML, costs additional credits per field extracted. There is no free tier: the trial includes a limited number of credits, and after they are exhausted, a paid plan is required. The Google Search API endpoint costs 5 credits per search and returns SERP results in JSON, but the results are not always identical to what a real browser session returns due to proxy geolocation differences. Rate limiting on the API is not clearly documented for lower-tier plans, and teams that send concurrent requests above the plan limit receive 429 errors without a retry-after header.
Pricing breakdown
The Freelancer plan at per month includes 150,000 credits. The Business plan at per month includes 1,000,000 credits. A team making 10,000 basic HTML requests and 5,000 JavaScript-rendered requests per month consumes 10,000 plus 25,000 equals 35,000 credits, fitting comfortably on the Freelancer plan. The same volume on Apify would cost roughly to in compute units for HTTP-based crawling, making Apify significantly cheaper for high-volume, simple scraping.
Deep dive: Bright Data
When to choose Bright Data
Bright Data is the right choice when proxy reliability and geographic coverage are the primary requirements, not the scraping framework itself. It operates the largest proxy network in the industry with over 72 million residential IPs across every country, making it the go-to for enterprise teams that need to access geo-restricted content, SERP data, or e-commerce prices from specific regions reliably. The Web Unlocker product handles anti-bot bypass automatically, including CAPTCHA solving, browser fingerprinting, and cookie management, so the team can focus on data extraction rather than evasion engineering. Choose Bright Data when the targets are heavily protected sites like Amazon, Google, LinkedIn, or airline booking engines that block most scraping attempts. It is also the right pick for compliance-sensitive operations: Bright Data has a published compliance program and KYC verification that some enterprise procurement teams require. Avoid Bright Data when the scraping target is lightly protected, when budget is the primary constraint, or when the team wants an all-in-one platform with built-in scheduling and data storage like Apify.
Real-world use case
An enterprise competitive intelligence team uses Bright Data's Web Unlocker to collect pricing data from 200 competitor product pages across 8 countries daily. Each request is routed through residential proxies in the target country to get localized pricing. The team's existing Python scripts make HTTP requests through Bright Data's proxy endpoint, parse the HTML with BeautifulSoup, and store the results in a PostgreSQL database. The Web Unlocker handles everything between the HTTP request and the target site: proxy selection, retry logic, CAPTCHA solving, and header management. The team processes about 200,000 requests per month. The tradeoff: the monthly bill is approximately , which is significantly more than Apify or ScrapingBee for the same volume. The team pays the premium because the success rate on these heavily protected sites is above 99 percent, compared to 60 to 70 percent with cheaper alternatives.
Hidden gotchas
Pricing tiers are complex and product-specific. Bright Data offers multiple products, datacenter proxies, residential proxies, ISP proxies, mobile proxies, Web Unlocker, SERP API, and ready-made datasets, each with different billing models. A team that starts with datacenter proxies and later switches to Web Unlocker for better success rates may see their costs increase 5 to 10x per request. The KYC verification process required for residential and mobile proxy access can take 1 to 3 business days, blocking time-sensitive projects. Bandwidth is metered on residential proxies, and a single image-heavy page can consume 2 to 5 MB per request, meaning a scraping job that processes pages with product images burns through bandwidth much faster than expected. The self-service dashboard shows real-time usage but does not provide projected billing for the current period, making cost management reactive rather than proactive. The Proxy Manager open-source tool, which manages proxy rotation locally, requires Docker and has a non-trivial setup process. Ready-made datasets are pre-scraped data sold by volume, but the freshness guarantee varies by dataset, and some datasets are refreshed weekly rather than daily, which may not meet real-time pricing use cases.
Pricing breakdown
Datacenter proxies start at /bin/zsh.10 per GB with no per-request fee. Residential proxies start at .04 per GB with per-request pricing varying by volume. Web Unlocker starts at .50 per 1,000 requests for simple pages and .00 per 1,000 for JavaScript-rendered pages. SERP API starts at .50 per 1,000 searches. A team making 200,000 Web Unlocker requests per month for simple HTML pages would pay approximately per month. Adding JavaScript rendering on 30 percent of requests pushes the total to approximately per month. The minimum commitment on most products is for annual plans with a discount, or pay-as-you-go with no minimum.
Should You Use ScrapingBee or Bright Data?
For most teams, ScrapingBee is the better default: it offers very simple api — fast to integrate and is paid (from $49/month). Choose Bright Data instead if largest and most reliable proxy network matters more than no free tier (trial credits only). There is no universal winner — the right pick depends on your budget, team size, and whether you value very simple api — fast to integrate or largest and most reliable proxy network more.
Choose ScrapingBee if…
- •Very simple API — fast to integrate
- •Handles JS rendering automatically
- •Good documentation
Choose Bright Data if…
- •Largest and most reliable proxy network
- •High success rate on hard-to-scrape sites
- •Strong compliance and legal posture