Bright Data vs ScraperAPI(2026)
Bright Data is better for teams that need largest and most reliable proxy network. ScraperAPI is the stronger choice if simple to integrate. Bright Data is paid (from from $1.50/1K requests) and ScraperAPI is freemium (from $49/month).
Full feature breakdown, pricing details, and pros & cons below.
By Bikram NathLast updated
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Bright 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 DataScraperAPI
ScraperAPI is a web scraping API that manages proxies, browsers, and CAPTCHAs so you can fetch any page with a single request. It rotates across millions of proxies, retries failed requests automatically, and offers structured data endpoints for search engines and e-commerce sites.
Starting at $49/month
Visit ScraperAPIHow Do Bright Data and ScraperAPI Compare on Features?
| Feature | Bright Data | ScraperAPI |
|---|---|---|
| Pricing model | paid | freemium |
| Starting price | from $1.50/1K requests | $49/month |
| 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 | ✓ | — |
| Single-endpoint scraping API | — | ✓ |
| Automatic proxy rotation (datacenter + residential) | — | ✓ |
| JavaScript rendering | — | ✓ |
| Automatic retries | — | ✓ |
| Geotargeting | — | ✓ |
| Structured data endpoints (Google, Amazon) | — | ✓ |
| Async scraping for large jobs | — | ✓ |
Bright Data Pros and Cons vs ScraperAPI
Bright Data
ScraperAPI
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.
Deep dive: ScraperAPI
When to choose ScraperAPI
ScraperAPI is the right choice when the team needs a simple, proxy-based scraping API with automatic retry logic and good success rates, and when the budget is moderate. It sits between ScrapingBee and Bright Data in both complexity and price: simpler than Bright Data's product suite, more capable than ScrapingBee's basic offering for structured data extraction. The auto-retry on failed requests is a genuine differentiator: ScraperAPI automatically retries requests with different proxies and configurations until it gets a successful response or exhausts the retry budget, which significantly improves success rates on moderately protected sites. The structured data endpoints for Google SERP, Amazon product pages, and e-commerce sites return JSON directly, eliminating the need to parse HTML. Choose ScraperAPI when the team wants a reliable scraping API with a free tier for prototyping and structured endpoints for common targets. Avoid it when the targets require premium residential proxies for every request or when the team needs a full scraping platform with scheduling, storage, and workflow orchestration.
Real-world use case
An SEO agency uses ScraperAPI to monitor search rankings for 200 client keywords daily. Each keyword triggers a request to the Google SERP endpoint, which returns structured JSON with the top 10 results including title, URL, and snippet. The agency's internal dashboard processes the JSON and tracks ranking changes over time. The daily workload is 200 requests, all using the structured SERP endpoint at 5 credits each, totaling 1,000 credits per day or 30,000 credits per month. On the Hobby plan at per month with 100,000 credits, the agency has room to scale to 600 keywords before needing to upgrade. The tradeoff: the SERP endpoint costs 5 credits per request compared to 1 credit for basic HTML scraping, so keyword monitoring is 5x more expensive per request than general page scraping.
Hidden gotchas
Credit costs vary by feature flag: a basic HTML request costs 1 credit, JavaScript rendering costs 5 credits, geotargeting costs 5 credits, and premium residential proxies cost 10 to 25 credits. Combining JavaScript rendering with premium proxies costs 25 credits per request, making high-volume scraping of JS-heavy sites unexpectedly expensive. The free tier includes 1,000 credits per month, which is enough for about 200 JS-rendered requests. This is generous for prototyping but misleading if the team assumes it scales linearly. The auto-retry feature is valuable but consumes credits for each retry attempt, and a request that eventually fails after 3 retries has consumed 3 credits, not zero. The async scraping mode for large batch jobs requires polling a status endpoint for completion, and the documentation does not clearly specify the retention period for completed results. Geotargeting is available for 15 countries on the basic plan and all countries on higher plans, and requests targeting unavailable countries silently fall back to a US-based proxy.
Pricing breakdown
The free plan includes 1,000 credits per month. The Hobby plan at per month includes 100,000 credits. The Startup plan at per month includes 250,000 credits. The Business plan at per month includes 1,000,000 credits. A team making 50,000 basic HTML requests and 10,000 JavaScript-rendered requests per month consumes 50,000 plus 50,000 equals 100,000 credits, fitting on the Hobby plan. Adding geotargeting to the JS requests increases consumption to 150,000 credits, requiring the Startup plan.
Should You Use Bright Data or ScraperAPI?
For most teams, Bright Data is the better default: it offers largest and most reliable proxy network and is paid (from from $1.50/1K requests). Choose ScraperAPI instead if simple to integrate matters more than pricing is complex and can be expensive. There is no universal winner — the right pick depends on your budget, team size, and whether you value largest and most reliable proxy network or simple to integrate more.
Choose Bright Data if…
- •Largest and most reliable proxy network
- •High success rate on hard-to-scrape sites
- •Strong compliance and legal posture
Choose ScraperAPI if…
- •Simple to integrate
- •Free tier with 1,000 credits/month
- •High success rate with auto-retries