Octoparse vs ScraperAPI(2026)
Octoparse is better for teams that need no coding required. ScraperAPI is the stronger choice if simple to integrate. Octoparse is freemium (from $119/month) and ScraperAPI is freemium (from $49/month).
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 OctoparseScraperAPI
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 Octoparse and ScraperAPI Compare on Features?
| Feature | Octoparse | ScraperAPI |
|---|---|---|
| Pricing model | freemium | freemium |
| Starting price | $119/month | $49/month |
| 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 | ✓ | — |
| Single-endpoint scraping API | — | ✓ |
| Automatic proxy rotation (datacenter + residential) | — | ✓ |
| JavaScript rendering | — | ✓ |
| Automatic retries | — | ✓ |
| Geotargeting | — | ✓ |
| Structured data endpoints (Google, Amazon) | — | ✓ |
| Async scraping for large jobs | — | ✓ |
Octoparse Pros and Cons vs ScraperAPI
Octoparse
ScraperAPI
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: 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 Octoparse or ScraperAPI?
For most teams, Octoparse is the better default: it offers no coding required and is freemium (from $119/month). Choose ScraperAPI instead if simple to integrate 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 simple to integrate more.
Choose Octoparse if…
- •No coding required
- •Friendly for non-developers and analysts
- •Free plan available
Choose ScraperAPI if…
- •Simple to integrate
- •Free tier with 1,000 credits/month
- •High success rate with auto-retries