Apify vs. Octoparse: No-code scraping and MCP compared
Apify and Octoparse both help you extract web data without writing scrapers from scratch, but they optimize for different users. Apify is a cloud Actor platform with a huge Store, API, and code path (Crawlee). Octoparse is a visual, point-and-click tool for designing scrapers by selecting elements on the page, plus cloud tiers for scaled runs.
Quick Answer
Apify targets developers and technical users with code-based Actors and API. Octoparse targets non-technical users with visual, point-and-click scraping. Both have no-code Store Actors/templates.
- Prefer Octoparse when you want to build a custom scraper visually and stay in a GUI-first workflow.
- Prefer Apify when you want cloud-native execution, 30,000+ pre-built Actors, stronger integrations, and an upgrade path to custom code.
Full comparison table
| Feature | Apify | Octoparse |
|---|---|---|
| Primary user | Developers, technical PMs, hybrid no-code + code teams | Non-technical analysts, ops, visual-first builders |
| Core interaction | Pick an Actor → JSON form inputs → run in cloud | Open site in app → click fields → define workflow |
| No-code depth | 30,000+ Store Actors/templates | Template library + visual projects |
| Code / API | First-class (REST API, Crawlee, CLI) | API on paid tiers; no Crawlee-equivalent OSS stack on platform |
| Free tier | $5/mo credits, cloud runs, scheduling | Local execution; cloud features on paid plans |
| Paid entry (indicative) | From ~$29/mo Starter | Standard |
| Scheduling | Native schedules + webhooks on Free (within credits) | Cloud plans |
| Scale | Serverless cloud footprint | Cloud concurrency by plan |
| Integrations | Broad (Make, n8n, Zapier, LangChain, …) | More limited (API, some connectors) |
| MCP | Powerful: expose many Actors to AI clients | Simpler onboarding: remote MCP endpoint |
Who each tool is for
Choose Apify when you…
- Want pre-built scrapers for major platforms (maps, social, e-commerce) and a form beats building selectors.
- Need always-on cloud runs, webhooks, and API access without leaving a desktop app open.
- May later hire engineering to ship a custom Actor with Crawlee, on the same platform and billing model.
- Care about per-run cost at small and mid scale versus many desktop-first competitors.
Choose Octoparse when you…
- Learn faster by clicking the exact elements you need on odd or internal sites without a matching Apify Actor.
- Accept local free usage for occasional exports and upgrade when you need cloud concurrency.
- Want MCP connected to Octoparse with minimal configuration (paste server URL, authorize account).
Free plan: cloud vs local
- Apify Free: Credits run workloads in Apify’s cloud; schedules keep working when your laptop is off. See Apify Free plan.
- Octoparse Free: Typically desktop-bound for execution. Fine for experiments, weaker for unattended automation until you buy cloud capacity.
For recurring pipelines, Apify’s free tier is usually more operationally useful.
Pricing snapshot
Verify on official pages before purchase:
- Apify: Starter commonly ~$29/mo with prepaid usage. Details in Apify pricing.
- Octoparse: The Standard plan is around $69/mo billed monthly (about $58/mo billed annually); the Professional tier is higher and adds concurrency (confirm on Octoparse). Add-ons (residential proxies, CAPTCHA solving) may be extra.
User experience
- Octoparse: Best-in-class visual workflow: train selectors, loops, and pagination interactively.
- Apify: Best when a Store Actor already matches the target: you trade custom GUI building for speed and maintenance handled by the Actor author.
MCP for AI assistants
Both vendors ship MCP servers so Claude, ChatGPT Desktop, Cursor, and similar clients can trigger scrapes.
| Octoparse MCP | Apify MCP | |
|---|---|---|
| Setup | Fast: remote URL + account link | API token + config; more steps |
| Surface area | Templates + tasks exposed to the model | 30,000+ Actors addressable (config-dependent) |
| Best for | Non-coders wanting the shortest path | Agents that need platform-specific Actors at scale |
Apify setup details: use MCP servers.
Scalability and “what’s next?”
Apify’s path from no-code Actor → custom Crawlee Actor is a single platform story. Octoparse scales within visual automation; there is no equivalent to publishing a code package to the same runtime.
Verdict
- Visual custom scrapers, minimal MCP setup: lean toward Octoparse.
- Cloud automation, Store breadth, API, and code: lean toward Apify.
Start with Apify’s free credits →
Apify is a cloud Actor platform: you run pre-built scrapers (Actors) via forms or code (Crawlee) with API, schedules, and datasets. Octoparse is a visual scraper: you point and click to define extraction in a desktop-oriented workflow, with cloud plans for scaled execution. Both support no-code templates, but Apify emphasizes developers and cloud-native ops while Octoparse emphasizes visual building for non-developers.
Apify’s Starter plan is typically around $29/month with prepaid platform credits. Octoparse’s Standard plan runs around $69/month billed monthly (about $58/month billed annually), with the Professional tier higher for more concurrency (confirm current numbers on Octoparse’s site). Add-ons like residential proxies or CAPTCHA solving may cost extra on Octoparse.
Yes for users who want a visual builder: clicking page elements to define data fields is approachable. Beginners who only need popular public sites may still finish faster on Apify by using an existing Store Actor instead of designing a workflow from scratch.
Yes, but free execution is generally local-only without full cloud scheduling. Apify’s free tier includes monthly cloud credits, which behaves more like hosted automation.
Yes. Map your Octoparse fields to a Store Actor or a custom Crawlee scraper, then run on Apify for schedules, datasets, and integrations. Pilot on the Free plan credits before switching production jobs.
Octoparse wins on visual customization: you can scrape arbitrary layouts by training the UI. Apify wins on no-code speed when a Store Actor already exists: you only fill inputs. Both offer template-style starting points; pick based on whether you need GUI flexibility or turnkey Actors.
Apify runs jobs on Apify’s infrastructure by default, so schedules and webhooks work 24/7 within your credits. Octoparse’s free tier is tied to your machine for runs; cloud features unlock hosted concurrency on paid plans.
Yes. Octoparse provides a hosted MCP endpoint so compatible AI clients can discover templates and operate tasks with a short setup flow: typically paste the server URL and authorize your Octoparse account.
Octoparse MCP is usually faster to connect for non-technical users. Apify MCP takes more setup but can expose far more specialized Actors, which is better when your agent needs platform-specific tools at scale.
Yes, via MCP-compatible clients: connect Octoparse’s MCP endpoint and prompt the assistant to configure or run tasks. Apify supports the same pattern with its MCP integration and larger Actor catalog.
