TL;DR
Octoparse prices by tasks, concurrent runs, and cloud quota, not by pages scraped. That makes the headline plan price only part of what you actually pay.
- Plans are seat and task gated: the Free plan caps you at a handful of saved tasks and local-only runs
- Cloud extraction is the real cost driver: concurrent runs and scheduling sit behind the paid tiers
- Approximate 2026 pricing: Free $0, Standard around $99/month, Professional around $249/month, Enterprise custom (verify on octoparse.com)
- No-code, not an API: you build visual workflows instead of writing code, which helps non-developers and slows down automation
- API access is limited: exporting at scale or wiring Octoparse into a pipeline pushes you toward the higher tiers
Octoparse is a no-code web scraping tool. You point a visual workflow builder at a site, click the fields you want, and it produces structured data without code. If you are comparing octoparse pricing against a developer-first option, the question is usually whether the no-code convenience is worth the per-task and per-seat billing model.
This breakdown walks through how Octoparse charges, where the costs hide, and how the model compares to a flat credit-per-call extraction API like ScrapeGraphAI. Figures here are approximate and current as of 2026, so confirm the exact numbers on Octoparse's own pricing page before you commit.
Octoparse Pricing Plans in 2026
Here is the rough shape of Octoparse's tiers. Treat the prices as approximate, since Octoparse adjusts them and runs frequent annual-billing discounts.
| Plan | Approx. Monthly Price | Who it targets | Key limits |
|---|---|---|---|
| Free | $0 | Trials and small one-off jobs | Local runs only, a small number of saved tasks, limited rows |
| Standard | ~$99 | Solo users and small teams | Cloud extraction, scheduling, IP rotation, more tasks |
| Professional | ~$249 | Power users and small businesses | More concurrent runs, advanced features, higher quotas |
| Enterprise | Custom | Large teams and high volume | Custom concurrency, support, and SLAs |
Annual billing usually drops the effective monthly rate, so the Standard plan often lands nearer $75/month and Professional nearer $209/month when paid yearly. The jump from Free to Standard is the one most people hit fast, because the Free plan keeps your runs local and caps the number of tasks you can save.
The prices alone do not tell you what a workload costs. The billing units that matter are tasks, concurrent runs, and cloud quota.
How Octoparse Pricing Really Works
Octoparse does not charge per page or per record the way an API does. It charges for capacity. Three things drive your bill.
Tasks. A task is a saved scraping workflow for a specific target. Plans cap how many tasks you can keep. If you scrape 40 different sites, that is pressure on your task allowance even if each one is small.
Concurrent runs. This is how many extraction jobs can run at the same time in the cloud. Higher tiers unlock more concurrency, which is what lets large jobs finish in reasonable time. On lower tiers, big jobs queue and run slowly.
Cloud quota and scheduling. Running on your own machine is free but ties up your computer and stops when the machine sleeps. Cloud extraction and scheduled runs are the features people actually pay for, and they sit behind the Standard tier and up.
So the practical cost question is not "how much per page" but "how many tasks, how much concurrency, and how much cloud time do I need."
What That Means For a Real Workload
Say you want to monitor 30 product pages across 10 retailers, refreshed daily, running in the cloud on a schedule.
- You need enough saved tasks to cover the targets you cannot combine into one workflow.
- You need cloud extraction and scheduling, which rules out the Free plan.
- You need enough concurrency that the daily refresh finishes before the next one starts.
That profile lands you on Standard at minimum, and on Professional if the jobs are large or time-sensitive. The page count barely matters. The capacity you reserve is what you pay for.
How Much Does Octoparse Cost Per Result?
Because Octoparse bills for capacity rather than output, cost per result depends on how fully you use the plan.
| Scenario | Plan | Approx. Monthly Cost | Effective cost note |
|---|---|---|---|
| 5,000 records/month, light schedule | Standard (~$99) | ~$99 | ~$0.0198 per record if that is all you run |
| 50,000 records/month, steady jobs | Standard (~$99) | ~$99 | ~$0.00198 per record, much better utilization |
| 200,000 records/month, heavy concurrency | Professional (~$249) | ~$249 | ~$0.00125 per record |
| Spiky or one-off jobs | Free or Standard | $0 to ~$99 | Cost per record is high when usage is low |
The pattern is clear. Octoparse rewards heavy, consistent usage and punishes light or spiky usage, because you pay for the tier regardless of how many records you pull. If your volume is unpredictable, a usage-based model usually fits better.
Hidden Costs and Gotchas
Beyond the plan price, a few things catch people off guard.
1. Local runs tie up your machine
Free and low-tier local extraction runs on your own computer. A long job means your machine is busy, and if it sleeps or loses network, the run stops. Cloud extraction fixes this, but that is a paid feature.
2. Concurrency is the real bottleneck
A plan can allow many tasks but only a few concurrent cloud runs. Large jobs then queue. If timeliness matters, you upgrade for concurrency, not for features.
3. Anti-bot sites still break workflows
Octoparse handles many sites, but heavily protected targets can still block a visual workflow. You may spend time tuning a task that an API with managed proxies and rendering would handle behind the scenes. Stealth and proxy handling vary by plan.
4. API export is limited on lower tiers
If you want to pull results into your own pipeline through an API, that capability is gated and quota-limited. Teams that start no-code and later need automation often end up paying more or migrating.
5. Maintenance when sites change
Visual workflows break when a target site changes its layout. Someone has to open the workflow and fix the selectors. That is real ongoing time cost that no plan line item shows.
Octoparse vs ScrapeGraphAI: Head-to-Head
This is the comparison most readers want, because the two tools sit at opposite ends of the build spectrum. Octoparse is a no-code visual scraper. ScrapeGraphAI is an AI extraction API you call from code.
| Octoparse | ScrapeGraphAI | |
|---|---|---|
| Model | No-code desktop and cloud app | Developer API |
| Pricing unit | Tasks, concurrency, cloud quota, seats | Credits per API call |
| Free tier | Yes, local runs and limited tasks | 500 credits, one time |
| Entry paid price | ~$99/month (Standard) | $20/month (10,000 credits) |
| Higher tier | ~$249/month (Professional) | $100/month (100,000 credits) |
| Setup | Visual point and click | A few lines of code |
| AI extraction | Limited, template driven | Native, prompt or schema driven |
| Best for | Non-developers, visual workflows | Developers and automated pipelines |
| Cost predictability | Tier covers capacity, not output | Each call costs a known number of credits |
ScrapeGraphAI uses a flat credit model. Markdown, HTML, or link extraction costs 1 credit per call. AI structured extraction (JSON output) costs 5 credits. A screenshot costs 2. There are no task caps or concurrency tiers to reason about. You buy a credit pool and spend it as calls.
Cost at Scale
Here is a rough monthly comparison for an AI structured-extraction workload, where each extraction is one API call. ScrapeGraphAI extraction is 5 credits per call.
| Monthly AI extractions | Octoparse plan | Octoparse approx. cost | ScrapeGraphAI credits | ScrapeGraphAI plan | ScrapeGraphAI cost |
|---|---|---|---|---|---|
| 2,000 | Standard | ~$99 | 10,000 | Starter | $20 |
| 10,000 | Standard | ~$99 | 50,000 | Growth | $100 |
| 20,000 | Professional | ~$249 | 100,000 | Growth | $100 |
| 100,000 | Professional or Enterprise | ~$249+ | 500,000 | Pro | $500 |
The exact winner depends on your workload. For pure no-code convenience at steady volume, Octoparse is reasonable. For AI extraction wired into a pipeline, the credit model tends to cost less and stays easier to forecast because each call has a fixed price. To model your own scrape, extract, search, or crawl mix, use the ScrapeGraphAI price calculator.
From No-Code to API: What Migration Looks Like
The trade with Octoparse is convenience now for rework later. A visual task cannot be version controlled, code reviewed, or dropped into CI the way an API call can. When a no-code workflow outgrows its tier or breaks too often, teams move the logic into code.
With ScrapeGraphAI, the same extraction is a short call:
from scrapegraph_py import ScrapeGraphAI
sgai = ScrapeGraphAI(api_key="sgai-...")
response = sgai.extract(
"Extract the product name, price, and availability",
url="https://example.com/products",
)
data = response.data.json_dataYou describe what you want in plain language, and you get structured JSON back. If you need a guaranteed shape, pass a Pydantic model or JSON schema. There is no visual workflow to maintain when the page layout shifts, because the prompt describes intent rather than DOM positions.
When to Choose What
Choose Octoparse if: you have no developers, you prefer clicking through a visual builder, your targets are stable and not heavily protected, and your volume is steady enough to use a tier fully.
Choose ScrapeGraphAI if: you want predictable per-call pricing, you are wiring extraction into a pipeline or app, you need AI extraction with prompts or schemas, or your volume is spiky and a fixed monthly tier would sit idle.
Some teams use both. A non-technical analyst runs quick no-code pulls in Octoparse while the engineering team runs production extraction through the API. The right answer comes down to who is doing the work and how predictable the volume is.
FAQ
How much does Octoparse cost?
As of 2026, Octoparse has a free plan, a Standard plan around $99 per month, and a Professional plan around $249 per month, with custom Enterprise pricing above that. Annual billing lowers the effective monthly rate. Confirm current numbers on octoparse.com, since they change.
Is Octoparse free?
Octoparse has a free plan that runs extractions locally on your own computer with a limited number of saved tasks and rows. It is fine for testing and small one-off jobs, but cloud extraction, scheduling, and higher concurrency require a paid plan.
Why is Octoparse priced by tasks instead of pages?
Octoparse sells capacity rather than output. A task is a saved workflow, and your plan caps tasks, concurrent cloud runs, and scheduling. You pay for the capacity you reserve, not the number of pages or records you pull, which is why utilization matters so much to the effective cost.
Is ScrapeGraphAI cheaper than Octoparse?
For AI extraction at low to moderate volume, ScrapeGraphAI is usually cheaper because you pay a fixed number of credits per call instead of a monthly tier that covers capacity you may not use. At high, steady volume the gap narrows. The deciding factor is whether you want no-code workflows or an API, and how predictable your usage is.