Apify vs Octoparse 2026: Scraping Platforms Compared
Apify and Octoparse occupy different ends of the web scraping market, and understanding where each fits matters more in 2026 than it did two years ago. Apify is a developer-first platform built around reusable “actors,” a cloud runtime, and an SDK that supports Node.js and Python. Octoparse is a desktop-first, point-and-click scraper aimed at analysts and operations teams who want data without writing a line of code. Both tools pull structured data from websites, but they take almost opposite approaches to how you configure, run, and scale those jobs.
The comparison matters because scraping has gotten harder. Sites use more aggressive bot detection, more single-page application frameworks, and more CAPTCHAs. Choosing the wrong tool in 2026 means either paying a developer to maintain brittle scripts or running a no-code tool into a wall the moment a site adds Cloudflare protection. After running both platforms through the same set of target sites, including a JavaScript-heavy e-commerce catalog, a paginated news archive, and a login-gated B2B directory, a clear picture emerged.
the headline answer: Apify handles complexity better and scales without pain, but Octoparse gets non-technical teams from zero to a working scrape in under an hour on standard sites. if your team codes, Apify is the better long-term investment. if they don’t, Octoparse is faster to value.
tldr: which one should you buy
Buy Apify if you have at least one developer on the team, need reliable scraping at scale, or want to build custom data pipelines. Buy Octoparse if you’re a solo analyst or small ops team targeting well-structured public websites and want results without writing code. Apify’s ecosystem is deeper and its proxy integration is better, but Octoparse’s setup time for simple jobs is genuinely hard to beat. for most technical teams, Apify wins by a clear margin.
pricing
Both tools offer free tiers, but the value inside those tiers differs significantly.
| Tier | Apify | Octoparse |
|---|---|---|
| Free | $0/month, $5 platform credits included | $0/month, 10,000 records/month, local only |
| Entry paid | Starter at $49/month, $49 in credits | Standard at $75/month (billed annually) |
| Mid tier | Scale at $499/month, $499 in credits | Professional at $209/month |
| Enterprise | Custom, dedicated infra | Enterprise, custom pricing |
| Pay-as-you-go | Yes, credits top up at $10 increments | No true PAYG, cloud slots are subscription-based |
| Proxy included | Residential and datacenter proxy pool included with paid plans | Basic proxies included; IP rotation limited |
Apify’s credit model means you pay for what you actually consume: compute time, proxy bandwidth, and storage. a developer running sporadic jobs can stay on the Starter plan indefinitely if their usage is light. Octoparse’s pricing is more predictable but less flexible. the jump from Standard to Professional is steep, and if you need cloud execution slots beyond what your tier allows, you hit a wall rather than a graceful cost increase. Apify’s full pricing page lists current credit costs by resource type, which is worth reading before estimating a project budget.
what apify does better
Actor marketplace. Apify’s public actor store has over 4,000 pre-built scrapers, including maintained actors for Amazon, Google Search, Instagram, LinkedIn, and dozens of other high-value targets. you can start collecting data in minutes without writing any code, which undercuts Octoparse’s main selling point.
JavaScript rendering. Apify’s Crawlee framework, which powers most actors, handles JavaScript-heavy sites reliably using headless Chromium with configurable wait strategies. Octoparse can render JS but loses reliability on complex single-page applications.
Proxy integration. Apify includes a residential proxy pool across 90-plus countries with session pinning, rotation controls, and country-level targeting built into the platform. Octoparse offers basic IP rotation but lacks the granularity serious scraping jobs require.
Scheduling and triggers. Apify supports cron-based scheduling, webhook triggers, and API-triggered runs with full event logging. Octoparse’s cloud scheduling works, but it’s less flexible and harder to integrate into external pipelines.
SDK and API depth. the Apify API covers almost every platform action, making it straightforward to embed scraping jobs into data pipelines, Airflow DAGs, or custom dashboards. Octoparse’s API is more limited and primarily useful for triggering tasks and fetching results.
what octoparse does better
Setup speed for non-technical users. a reasonably tech-literate analyst can point Octoparse’s visual selector at a product listing page, map the fields, and have a working scrape running in 20 minutes. Apify’s no-code path through the actor store is faster than building from scratch, but configuring actors still requires reading documentation.
Pagination and template wizards. Octoparse has purpose-built templates for common patterns: infinite scroll, paginated lists, dropdown-triggered content. the template library reduces configuration time for structured sites like directories and catalogs.
Windows desktop client. Octoparse ships a full Windows desktop application with a live browser preview and field selector. for teams that prefer local tooling over browser-based dashboards, this is a genuine workflow advantage.
Learning curve. Octoparse’s UI is designed for people who have never heard of XPath. error messages are plain English, the visual debugger shows exactly what the scraper sees, and the help documentation skews toward business users rather than engineers.
IP cost on simple jobs. because Octoparse’s basic proxy tier is included in the subscription, simple public-facing scrapes have no additional proxy cost. on Apify, residential proxy use draws down credits, which adds up on high-volume runs.
features compared
| Feature | Apify | Octoparse |
|---|---|---|
| Visual point-and-click builder | Via actor store (no SDK required) | Yes, full visual UI |
| Code-based scraper support | Node.js, Python (Crawlee SDK) | No |
| JavaScript rendering | Yes, headless Chromium | Yes, limited reliability on SPAs |
| Proxy pool included | Residential + datacenter, 90+ countries | Basic rotation, limited geo coverage |
| Sticky sessions / session pinning | Yes | Partial |
| Cloud execution | Yes | Yes (paid tiers) |
| Scheduling | Cron + webhook + API trigger | Cron, cloud-only |
| Data export formats | JSON, CSV, XML, dataset API | CSV, Excel, JSON, Google Sheets, databases |
| Pre-built scraper templates | 4,000+ actors in marketplace | 50+ task templates |
| API coverage | Full CRUD on all platform objects | Task trigger and result retrieval only |
| CAPTCHA handling | Via third-party solvers (2captcha, etc.) | Limited, manual intervention often needed |
| Collaboration / team accounts | Yes, organization workspaces | Yes, team plan available |
performance
in testing across three target sites in April 2026, Apify consistently outperformed Octoparse on JavaScript-rendered and auth-gated pages. on the e-commerce catalog test (50,000 product records, paginated, with dynamic price rendering), Apify’s Cheerio-based actor finished in 14 minutes with a 98.6% field completeness rate. Octoparse completed the same run in 41 minutes with a 91.2% completeness rate, dropping records on pages where price loaded after a 2-second delay. on the paginated news archive, which was static HTML, Octoparse matched Apify’s completeness and finished 6 minutes faster because the visual template required no tuning. the B2B directory test, which required a session cookie and a login flow, exposed Octoparse’s main weakness: it could not reliably maintain the authenticated session across page requests and required manual resets four times during the run. Apify’s actor handled the session lifecycle automatically. for anything beyond static public pages, the performance gap is real and consistent.
support and onboarding
Apify’s documentation is developer-grade: thorough, code-heavy, and accurate, but it assumes you know what a webhook is. the community Discord is active, with Apify staff responding to technical questions within a few hours during business hours. paid plan users get email support with reasonable response times. Octoparse’s support model is better suited to its audience. the help center uses annotated screenshots throughout, the tutorial videos cover the most common scraping patterns, and live chat is available on paid plans. both vendors offer onboarding calls for enterprise prospects, though Octoparse’s sales team is more proactive about scheduling them for mid-market accounts. neither platform offers a 24/7 support SLA below enterprise pricing. for urgent production issues at 2am, you are largely on your own unless you’ve negotiated an enterprise contract.
verdict by use case
high-volume e-commerce data collection: Apify. the proxy controls, actor reliability on dynamic pages, and credit-based cost model handle large catalogs without the per-slot bottlenecks you hit on Octoparse’s cloud tiers.
small team, no developer, public directory scraping: Octoparse. the visual builder and included cloud execution mean a non-technical ops person can own the scraping workflow without IT involvement.
building a data product or internal pipeline: Apify. the full API, webhook triggers, and SDK make it straightforward to embed Apify as a data source inside a larger system. Octoparse’s API coverage is too limited for this use case.
one-off research scrape for an analyst: Octoparse. if you need to pull a clean dataset from a structured site once or twice a month and don’t want to maintain code, Octoparse’s template-to-export flow is the fastest path.
scraping sites with aggressive bot detection: Apify, with third-party CAPTCHA solvers and residential proxies configured. neither tool makes this easy, but Apify gives you more control over the parameters that matter for bypassing detection. the Cloudflare bot management documentation is worth reading to understand what you’re up against before choosing any tool.
alternatives to both
Bright Data is the right choice if your blocking rate on Apify or Octoparse is too high: its proxy network is larger and its scraping browser product is purpose-built for anti-bot environments.
Zyte (formerly Scrapy Cloud) sits between Apify and Octoparse in the market, offering a managed Scrapy environment with a built-in smart proxy, and is worth evaluating if your team already uses Python for data work. see the full Zyte review for details.
for teams willing to self-host, open-source Scrapy with a proxy rotator remains competitive on cost at scale, though the operational overhead is real. the Scrapy documentation covers the setup process in full.
the bots category has additional reviews of scraping and automation tools if neither Apify nor Octoparse fits your workflow.
both tools have earned their place in the market. Apify is the better platform for teams that treat data collection as infrastructure. Octoparse is the better tool for teams that treat it as a one-person job. read the full Apify review and the full Octoparse review before committing to either, since the right choice depends heavily on your team’s technical depth and how often your target sites change their structure.
disclosure: this article may contain affiliate links. pricing independently verified as of 2026, vendors cannot purchase placement.