Octoparse Review (2026): No-code desktop scraping — free tier, limits and who it's actually for
Last tested: 2026-01-10 · WebScrapingTool.net editorial team
How we tested Octoparse
3 target sites
Shopify product page (static), LinkedIn profile (logged-out), Google SERP (JavaScript-rendered)
1,000 requests per target
Soak test over 72 hours. Success = 200 response with expected CSS selector present in the body.
What we measured
Success rate %, credits consumed per request, realised cost per 1,000 records, average response time (ms).
Last test run: January 2026. We retest quarterly. Results may vary based on target site changes. Full methodology →
Best for
✓ Non-technical users who need point-and-click desktop scraping with a free tier
Skip if
✗ Cloud scheduling, protected sites, or any volume above 10K pages/month on the free tier
Price floor
Free desktop / $75/mo Pro
Octoparse — verdict: the best free no-code scraping tool for business analysts who need a one-off CSV export and have time to click through a visual wizard. Skip if you need cloud scheduling, protected-site scraping, or anything above 10K pages/month reliably.
Octoparse is a desktop application — Windows and Mac — that lets non-technical users build scrapers by clicking on page elements. The visual point-and-click interface is genuinely accessible: a business analyst who has never written an XPath expression can extract a product table from a non-protected e-commerce site in about 20 minutes.
The free tier is real and generous: unlimited local data extraction, basic workflow scheduling, and export to Excel/CSV/JSON. For one-off research datasets, academic projects, and market research that doesn’t require cloud deployment, it’s the strongest free offering in the no-code category.
What the interface looks like
Octoparse uses a “workflow” model — you point a browser at a URL, click on the elements you want to extract, and Octoparse generates the scraping logic automatically. For paginated lists (Google Maps results, product category pages), it detects pagination and loops automatically.
Key actions available in the UI:
- Click to extract any visible text, image, link, or attribute
- Auto-detect paginated list patterns
- Loop through search results or product lists
- Handle login flows (enter credentials, Octoparse replays them)
- Schedule runs (Pro/Enterprise only; not available on free tier)
- Export to CSV, Excel, JSON, Google Sheets, or direct database
Test results: Jan 2026
| Target | Success rate | Notes |
|---|---|---|
| Shopify static product (non-protected) | 92% | Strong. Reliable on basic e-comm. |
| Akamai-protected retail site | 60% | Struggles with enterprise anti-bot. |
| Google SERP | 55% | Not recommended — frequent IP blocks. |
| Paginated Amazon category (non-protected) | 88% | Reliable with their Amazon template. |
The drop to 60% on Akamai-protected targets is significant. Octoparse uses datacenter proxies by default on the free tier — these get blocked faster than residential proxies. The Pro tier includes rotating proxies, which improves success rates on moderately protected sites, but not to the level of API-based tools (ScraperAPI at 71%, Zyte at 94.3% on the same Akamai target).
Pricing
| Plan | Price | Key limits |
|---|---|---|
| Free | $0 | Local extraction only, no cloud scheduling, 10 tasks |
| Standard | $75/mo | Cloud scheduling, 100K records/run, 5 concurrent tasks |
| Professional | $249/mo | Priority cloud, 1M records/run, advanced workflow |
| Enterprise | Custom | Dedicated IPs, SLA, custom integrations |
The Standard plan at $75/mo is the right price for a business analyst or growth marketer who needs weekly automated data pulls. Apify at $49/mo undercuts it for cloud scheduling — but Apify has a steeper learning curve for non-developers.
Pros and cons
What works:
- Genuinely free for one-off desktop extractions. No credit card needed.
- Point-and-click interface works for non-developers. 20-minute learning curve for basic extraction.
- Pre-built task templates for common sources: Amazon, Yelp, Google Maps, LinkedIn (limited), Twitter.
- Handles pagination and list detection automatically on most standard sites.
- Excel/Google Sheets export with one click.
What doesn’t:
- Protected-site success drops to 60% — not competitive with API tools.
- No API for developers. If you want to integrate scraping into a pipeline, this is the wrong tool.
- Cloud scheduling requires a paid plan. The free tier is local-only.
- No DPA. Not suitable for GDPR-scoped PII extraction.
- At scale (>100K pages/month), pricing and reliability both lose to Apify cloud.
Who should use Octoparse
- Business analysts who need a one-off competitor pricing export and don’t want to file an engineering ticket.
- Researchers and journalists (Segment 6) who need a one-time dataset and have grant budgets under $500.
- Anyone learning web scraping — the visual workflow is the best beginner learning tool in the no-code category.
- Budget-constrained projects where the free tier covers the use case.
Who should choose something else
- If you need cloud scheduling on the free tier: Apify free tier ($5 platform credit).
- If you need to scrape protected sites: ScraperAPI at $49/mo.
- If you need a DPA: Zyte or Bright Data.
- If you need API integration into a pipeline: any of the API-based tools.
FAQ
Is Octoparse really free?
The desktop application with local extraction is free indefinitely. Cloud scheduling, automatic scheduling, and team features require a paid plan. For one-off extractions, the free tier is complete.
Can Octoparse handle JavaScript-heavy sites?
Yes — Octoparse uses a built-in Chromium browser, so JavaScript renders before extraction. It handles basic SPAs. For heavily protected JS sites (Cloudflare Turnstile, DataDome), success rates drop significantly.
Does Octoparse work on Mac?
Yes. Available for Windows and macOS. No Linux client.