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Octoparse vs ParseHub 2026: Which No-Code Scraper Should You Use?

· 3 min read
Yassine El Haddad
Software Developer & Automation Specialist

I build production AI agents, web scrapers, and automation pipelines. Most of what I publish here comes from the actual problems they run into: proxies that get banned, anti-bot stacks that fingerprint your client, RAG that drifts when the underlying data moves. Stack: Python, TypeScript, Go, FastAPI, LangChain, Crawlee, Playwright, deployed on AWS, GCP, and Cloudflare.

Octoparse and ParseHub are the two most widely used visual/no-code web scraping desktop apps. Both let non-developers extract web data by pointing and clicking — no code required.

They differ significantly in interface design, JavaScript handling, cloud infrastructure, and pricing.

Quick Comparison

FeatureOctoparseParseHub
InterfaceDesktop app (Windows/Mac) + webDesktop app (Windows/Mac/Linux)
Visual scraperYesYes
JavaScript renderingYes (full Chromium)Yes (full rendering)
Cloud extractionYes (Cloud plans)Yes (paid plans)
Templates10,000+ pre-builtLimited
Scheduled runsYesYes
API accessYesYes
PaginationAutomaticManual
Infinite scrollYesYes
IP rotationYes (paid)Yes (paid)
Free plan10 tasks, local only (no cloud extraction)200 pages/run, 5 projects
PricingFrom $75/monthFrom $149/month
ExportExcel, CSV, JSON, Google Sheets, MySQLExcel, CSV, JSON, Google Sheets

Interface and Usability

Octoparse

Octoparse uses a visual "point-and-click" workflow builder. You run a browser inside the app, click on elements you want to extract, and Octoparse builds the extraction rules automatically.

Key workflow features:

  • Auto-detect data fields (smart extraction mode)
  • 10,000+ pre-built templates for common sites (Amazon, LinkedIn, Yelp, Yellow Pages, etc.)
  • Field validation and transformation within the tool

Ease of use: High for simple sites. Template library eliminates setup for popular targets.

ParseHub

ParseHub uses a "select and label" model. You navigate the site inside the app, click elements, and assign field names. ParseHub's rendering engine handles JavaScript through full-page rendering.

Key workflow features:

  • Multi-page templates
  • Conditional extraction logic
  • Variable substitution for dynamic pages

Ease of use: Medium. More powerful for complex sites, but requires more manual configuration.


Cloud Extraction Comparison

OctoparseParseHub
Cloud runsUnlimited (paid plans)Per project/month
Max concurrent runs5–10 (plan dependent)1–5
Scheduled frequencyEvery 5 minutesEvery 24 hours (Standard), Hourly (Pro)
APIYesYes
WebhookYesNo

Octoparse's cloud plans allow more frequent scheduling and concurrent runs — important for time-sensitive data like pricing or inventory.


Pricing

Octoparse

PlanPriceCloud CreditsTasks
Free$0Local only2
Standard$75/monthIncludedUnlimited
Professional$249/monthMore creditsUnlimited

ParseHub

PlanPriceProjectsScheduled Runs
Free$05No
Standard$149/monthUnlimitedDaily
Professional$499/monthUnlimitedHourly

Verdict on pricing: Octoparse is significantly cheaper. ParseHub's professional plan at $499/month is difficult to justify for most individual users.


Template Library

Octoparse's 10,000+ pre-built templates are its biggest advantage. For common targets — Amazon, LinkedIn, Yelp, Tripadvisor, Google Maps — you select a template and run immediately with no setup.

ParseHub has a much smaller template library. You'll build from scratch on most sites.


JavaScript and SPA Handling

Both tools use full browser rendering and handle JavaScript-heavy sites. Neither requires special configuration for React, Vue, or Angular SPAs.

Octoparse handles infinite scroll and AJAX-loaded content automatically in most cases. ParseHub requires explicit "click next page" actions.


When to Use Each

Use CaseWinner
Quick scrape of a common siteOctoparse (templates)
Complex conditional logicParseHub
Budget-consciousOctoparse
Linux desktop supportParseHub
High-frequency cloud schedulingOctoparse
B2B team with enterprise budgetEither
First-time scraperOctoparse

Overall winner: Octoparse for most users — better templates, lower price, and more cloud scheduling options.

Try Octoparse → | Try ParseHub →

Common mistakes and fixes

Octoparse can't extract data from a dynamically loaded table.

Add a 'Wait for element' action before the loop in your Octoparse workflow. Set the wait condition to the table element's selector. This ensures JavaScript has finished rendering the table.

ParseHub extraction misses some items on paginated lists.

Verify your 'next page' click condition. In ParseHub, the selector for the next button must uniquely identify it. Use the Inspector to check whether the element changes after clicking.