Octoparse vs Bright Data(2026)
Octoparse is better for teams that need no coding required. Bright Data is the stronger choice if largest and most reliable proxy network. Octoparse is freemium (from $119/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
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Octoparse
Octoparse is a no-code, point-and-click web scraping tool that lets non-developers build scrapers visually. It offers cloud extraction, scheduling, IP rotation, and pre-built task templates for popular sites — turning web pages into structured data without writing code.
Starting at $119/month
Visit OctoparseBright 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 Octoparse and Bright Data Compare on Features?
| Feature | Octoparse | Bright Data |
|---|---|---|
| Pricing model | freemium | paid |
| Starting price | $119/month | from $1.50/1K requests |
| Visual point-and-click builder | ✓ | — |
| Cloud-based extraction | ✓ | — |
| Scheduled scraping | ✓ | — |
| IP rotation | ✓ | — |
| Pre-built task templates | ✓ | — |
| Auto-detect data fields | ✓ | — |
| Export to CSV/Excel/database/API | ✓ | — |
| 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 | — | ✓ |
Octoparse Pros and Cons vs Bright Data
Octoparse
Bright Data
Deep dive: Octoparse
When to choose Octoparse
Octoparse is the right choice when the scraping team consists of non-developers who need a visual, point-and-click interface to extract data from websites without writing code. It is strongest for business analysts, marketing teams, and operations teams that need to collect competitor pricing, product catalogs, or lead lists and export the results to Excel or a database. The auto-detect feature attempts to identify data fields on a page automatically, and pre-built task templates for common sites like Amazon, eBay, and Yellow Pages allow extraction to start within minutes. Choose Octoparse when the team has no coding skills and the scraping targets are relatively standard e-commerce or directory pages. Avoid it when the scraping requires custom logic, when the targets use heavy anti-bot protection, or when the team needs an API-first approach that integrates into existing data pipelines.
Real-world use case
A procurement team at a mid-size retailer uses Octoparse to scrape product prices and availability from 15 supplier websites weekly. Each website has a pre-configured task that navigates to the product listing page, paginates through results, and extracts the product name, price, and stock status. The team schedules tasks to run every Monday morning via the cloud scheduler, and results are exported to a shared Google Sheet. The team has no developers and built all 15 tasks using the visual editor in about 2 hours total. The tradeoff: the monthly cost at per month for the Standard plan is higher than API-based tools like ScrapingBee or Firecrawl for the same volume. The team accepts this because they cannot write code and the visual builder eliminates their dependency on engineering.
Hidden gotchas
The pricing structure is confusing: Octoparse lists different prices on different parts of their website, and the actual cost depends on whether the plan is billed monthly, annually, or via the legacy pricing model. The Standard plan at per month includes cloud-based extraction with limited concurrency, and the Professional plan at per month adds more concurrent tasks and advanced features. The desktop application runs on Windows only, which excludes Mac-only teams from local extraction. The cloud extraction service has a queue system that can delay task execution during peak hours, meaning scheduled tasks may not start at the exact configured time. Anti-bot handling is basic compared to Bright Data or Apify: Octoparse rotates IP addresses and adds delays between requests, but sites with sophisticated bot detection like Cloudflare or Akamai will block many extraction attempts. The auto-detect feature works well for simple table-based pages but produces poor results on modern JavaScript-rendered sites with complex DOM structures.
Pricing breakdown
The free plan allows limited local extraction with no cloud features. The Standard plan at per month includes cloud extraction and scheduling. The Professional plan at per month adds more concurrency, advanced scheduling, and API access. A team running 15 scheduled tasks weekly with an average of 500 pages per task, totaling 30,000 pages per month, fits on the Standard plan. For comparison, the same volume on ScrapingBee would cost approximately per month for basic HTML extraction, and on Apify approximately per month using HTTP-based crawlers.
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 Octoparse or Bright Data?
For most teams, Octoparse is the better default: it offers no coding required and is freemium (from $119/month). Choose Bright Data instead if largest and most reliable proxy network matters more than monthly pricing is steep vs api tools. There is no universal winner — the right pick depends on your budget, team size, and whether you value no coding required or largest and most reliable proxy network more.
Choose Octoparse if…
- •No coding required
- •Friendly for non-developers and analysts
- •Free plan available
Choose Bright Data if…
- •Largest and most reliable proxy network
- •High success rate on hard-to-scrape sites
- •Strong compliance and legal posture