Octoparse
Point-and-click web scraping with a desktop builder and a cloud that runs the jobs for you
Octoparse is a no-code web scraping tool built around a visual desktop application: you load a target page inside the app's built-in browser, click the elements you want, and it records a workflow of clicks, scrolls, pagination, and field extraction that can then run locally or on Octoparse's cloud servers with IP rotation and scheduling. It ships several hundred pre-built templates for common targets, exports to CSV, Excel, JSON, Google Sheets, and databases, and starts on a free plan capped at 10 tasks and 50,000 exported rows a month.
Overview
Web scraping splits neatly into two buyer types. One writes Python, wants a headless browser and a proxy pool, and treats the scraper as code. The other has a list of URLs, a deadline, and no engineer. Octoparse has spent a decade serving the second type, and it is one of the few tools in the category that genuinely does not require you to look at a selector unless you want to. The core of the product is a Windows and macOS desktop application containing its own browser: you navigate to the page, click a product title, and the app infers that you meant every product title on the page, then offers to follow the next-page link and repeat.
Around that builder sits the part that actually justifies a subscription. Running a scraper on your own laptop means the laptop must stay awake, on the same IP, for as long as the job takes. Octoparse Cloud takes the same workflow and runs it on the company's infrastructure across a pool of addresses, on a schedule, with concurrent runs so one job can be split across several machines. Paid plans add residential proxies and automatic CAPTCHA solving, which is the practical difference between a scraper that works for a week and one that works for a year.
The 2026 version of the product is noticeably more AI-shaped than earlier generations. Auto-detect proposes an entire workflow from a single URL, an AI extraction path converts an arbitrary page to Markdown and pulls fields from it without any template at all, and in May 2026 the company shipped an official MCP server so that Claude, ChatGPT, Cursor, and other MCP clients can search its template library, launch cloud runs, and pull structured results back into a chat session. For a go-to-market team, that last piece is the interesting one: it turns Octoparse from a tool someone opens on Tuesdays into a data source an agent can call.
Octoparse is made by Octopus Data Inc., an independent company operating from Walnut, California with engineering roots in China. It has never taken a well-publicized venture round, it claims several million registered users, and it competes at the low end against free browser extensions and at the high end against API-first scraping infrastructure. The honest position is in the middle: more capable than a Chrome extension, far less flexible than writing code, and priced high enough that the jump from free to the $69 Standard plan is a real decision rather than an impulse.
Best for
Small go-to-market, research, and ecommerce teams that need recurring structured data from websites with no scraping API, have nobody to write and babysit a Python crawler, and want the extraction to run on someone else's infrastructure on a schedule.
Not the right fit for
- Engineering teams that want scrapers in version control; Octoparse workflows live inside its own app and are not code you can diff, review, or deploy through CI.
- Anyone needing custom JavaScript execution or Playwright-style control; you cannot inject arbitrary script into the page, so genuinely unusual interaction patterns hit a wall.
- High-volume API-style use where you want to fire millions of raw HTML requests and parse them yourself; a request-level proxy API is cheaper and faster for that shape of work.
- Teams on the free plan expecting production reliability; without cloud runs, scheduling, or IP rotation, the free tier is an evaluation environment, not a pipeline.
- Buyers who need the Octoparse AI RPA product specifically, which remains Windows-oriented and is sold separately from the scraper described here.
- Use cases requiring scraping of data behind a login where the terms of service forbid it; the tool will technically do it, which does not make it advisable.
How it works
- 1
You install the desktop app (Windows 10 64-bit or higher, or macOS) and create a task by pasting a URL. The app opens that page in an embedded browser and runs auto-detect, which scans the DOM for repeating structures and proposes a field list plus a pagination action. On a well-behaved listing page this produces a working scraper in under a minute with no manual selection at all.
- 2
When auto-detect guesses wrong, you take over. Clicking an element opens an action menu: extract text, extract a link or image URL, click it, loop over similar elements, enter text, or wait for a condition. Those actions accumulate into a visible workflow tree with loops and branches, so a task like open each search result, extract six fields from the detail page, go back, repeat, then advance to page two is assembled by clicking rather than coding. XPath is available for anything the point-and-click layer cannot express.
- 3
Running the task is a separate decision from building it. Local runs use your machine and your IP, cost nothing, and are the only option on the free plan. Cloud runs hand the workflow to Octoparse's servers, which rotate IPs, solve CAPTCHAs, split the work across the concurrent runs your plan allows, and keep going whether or not your laptop is open. Scheduling (hourly, daily, weekly, or a specific list of times) is a paid feature and is the usual reason people upgrade.
- 4
Extracted data lands in the task's dataset, from which you export to Excel, CSV, JSON, HTML, or XML, push to Google Sheets, Google Drive, Dropbox, or Amazon S3 on Professional, or pull programmatically through the Data Export API. The API and the MCP server are what connect it to the rest of a stack: an n8n or Zapier flow can trigger a run and route rows into a CRM, and an MCP client can do the same conversationally.
Feature breakdown
25 features in 4 modulesVisual workflow builder
The desktop app where scrapers get built by clicking rather than by writing selectors.- Embedded browser canvas
- The app renders the live target page inside itself, so you build against exactly what a visitor sees, including content loaded by JavaScript after the initial HTML.
- Auto-detect workflow generation
- Paste a URL and the app scans for repeating structures, proposes a field list with sample values, and adds a pagination step, which is a complete scraper for most listing pages.
- Workflow tree with loops and branches
- Every action is visible as a node: loop item, click, extract, condition, wait. You can reorder, nest, and inspect steps rather than trusting a black box.
- Pagination and infinite scroll handling
- Next-link clicking, numbered pagination, load-more buttons, and scroll-triggered loading are all first-class actions with configurable wait times and scroll counts.
- XPath and regex editing
- Any auto-generated selector can be replaced with hand-written XPath, and extracted values can be cleaned with regex, trim, and replace rules before export.
- Automated login handling
- A login step records credential entry and can persist cookies between runs, which is what makes recurring extraction from account-gated dashboards possible.
- Detail-page drill-down
- A loop can open each result, extract fields from the detail view, and return, which is how you turn a thin search listing into a rich dataset.
Cloud extraction
The paid half: running the workflow on Octoparse infrastructure instead of your laptop.- 24/7 cloud runs
- Tasks execute on Octoparse servers whether or not your machine is on, which removes the single largest reliability problem with desktop scrapers.
- Concurrent run slots
- Standard allows up to 3 concurrent cloud runs and Professional up to 20, so a large job can be split across machines and finish in a fraction of the wall-clock time.
- IP rotation and residential proxies
- Cloud runs cycle through a managed address pool including residential exits, which is the practical difference between a scraper that survives rate limiting and one that does not.
- Automatic CAPTCHA solving
- Common challenge types are solved in-flight on paid plans, without you wiring up a third-party solver and paying it separately.
- Task scheduling
- Runs can be set hourly, daily, weekly, or on an explicit list of times, which is the feature that turns a one-off pull into a recurring feed.
- Cloud data storage and backup
- Results accumulate in the cloud dataset with automatic backup on Professional, so a failed export does not mean re-running the whole extraction.
- Task monitoring
- Run history, row counts, and failure notices surface when a site changes its layout and a workflow silently starts returning empty fields.
Templates and AI extraction
Paths that skip the builder entirely for common targets or unstructured pages.- Pre-built template library
- Several hundred maintained templates cover targets like Amazon listings, Google Maps places, TikTok, X, Yelp, LinkedIn-adjacent directories, and job boards; you supply parameters and run.
- URL-to-Markdown AI extraction
- Drop in any URL and the page is converted to Markdown for an AI layer to pull requested fields from, with no template and no workflow to configure.
- Field auto-naming
- Detected columns are given sensible names from surrounding labels and microdata rather than arriving as field_1 through field_9.
- Template parameterization
- Templates take keyword lists, URL lists, or location inputs, so one template covers a hundred search terms in a single run.
- Free standalone web tools
- A set of browser-based utilities (email extractors, social profile finders, simple map scrapers) run without installing the desktop app, useful for one-off pulls.
Data delivery and the open platform
Getting rows out of Octoparse and into the systems that use them.- Export formats
- Excel, CSV, JSON, HTML, and XML on every plan including free, with a 10,000-row cap per single export on the free tier.
- Cloud destinations
- Professional adds direct delivery to Google Sheets, Google Drive, Dropbox, and Amazon S3, which is how the data reaches a warehouse or a dashboard without a manual download.
- Data Export API
- A REST API on paid plans lets another system trigger runs and pull results, which is the integration point for n8n, Make, Zapier, or your own service.
- Official MCP server
- Launched May 2026, it exposes template search, task management, cloud runs, and structured export to MCP clients such as Claude, ChatGPT, Cursor, and Gemini CLI.
- CLI access
- A command-line interface sits alongside the API for scripting task runs from a server or a scheduled job outside the Octoparse scheduler.
- Managed data service
- For teams that do not want to own the workflows at all, Octoparse sells done-for-you extraction as a service, quoted per project.
Use cases
4 documentedFounder building a niche prospect list with no data vendor coverage
The target market is independent physiotherapy clinics in three states. No B2B database has clean coverage, and buying a generic list returns mostly closed practices and wrong contacts.
A Google Maps template pulls name, address, phone, website, and rating for every clinic in the target geography, a second task visits each website and extracts the contact email and staff names, and the combined file becomes a 1,400-row list built in an afternoon for the cost of one month of Standard.
Ecommerce operator tracking competitor pricing
Six competitors change prices unpredictably and the team currently checks by hand once a week, which is both slow and inconsistent.
Six cloud tasks run every morning at 6am across rotating IPs, exporting to a Google Sheet that feeds a pricing dashboard; the team sees a competitor undercut within hours instead of days, and nobody's laptop has to stay open.
Market researcher assembling a category landscape
A consultancy needs structured data on 800 companies from a trade association directory plus each company's own site, on a two-week deadline, with no engineering support.
One workflow loops the directory pagination and drills into each profile page for 11 fields; 20 concurrent cloud runs on Professional finish the crawl overnight, and the JSON export goes straight into the analysis notebook.
GTM engineer wiring web data into an agent workflow
An internal research agent needs live data from sites with no public API, and maintaining bespoke scrapers for each one is not a good use of the team's time.
The Octoparse MCP server is connected to the agent, which searches the template library, launches cloud runs, and receives structured rows in-session; the team maintains zero scraper code and pays a flat monthly subscription instead of per-request infrastructure.
Pricing
from Free for 10 tasks and 50,000 exported rows per month; paid plans from $58 per month billed annually ($69 monthly)Per-account subscription priced by number of tasks (saved scrapers) and concurrent cloud runs, not by rows or requests. A permanent free plan covers local extraction only; cloud runs, scheduling, IP rotation, and CAPTCHA solving all sit behind the first paid tier. Annual billing carries roughly a 16 percent discount, and an Enterprise tier is quote-only.
| Plan | Price | Includes |
|---|---|---|
| Free | $0 per month |
Genuinely useful for learning the builder and for one-off pulls, but the absence of scheduling and IP rotation means it is not a pipeline. |
| Standard | $58 per month, billed annually ($69 monthly) |
The tier where the product becomes operational; everything below it is evaluation. |
| Professional | $209 per month, billed annually ($249 monthly) |
The concurrency jump from 3 to 20 is the real purchase here; it turns an overnight crawl into a two-hour one. |
| Enterprise | Custom quoted annually |
|
Billing notes
- The meter is tasks and concurrency, not rows, so a plan does not get more expensive because a site got bigger; it gets slower until you buy more concurrent runs.
- A task is a saved scraper configuration, not a run, so 100 tasks on Standard means 100 distinct scrapers, each runnable as often as you schedule it.
- Cloud extraction is the paid feature that matters most, and it is entirely absent from the free plan, which makes the free-to-Standard gap wider than the feature table suggests.
- Annual billing saves roughly 16 percent, and refunds are governed by a 5-day money-back window on new subscriptions; after that, refunds are case by case and a processor fee is deducted.
- The Data Export API is not on the free plan, so programmatic and agent-driven use starts at Standard.
- The managed Data Service and Enterprise plan are quoted separately and are not comparable to the self-serve line items.
Value assessment: At $58 per month annually, Standard is priced roughly where a mid-tier scraping API or a single seat of a sales database sits, and for a team running a handful of recurring extractions it is straightforwardly cheaper than the engineering time it replaces. The value case weakens in two directions. Downward, the free plan's lack of cloud runs means many small users get nothing usable without paying, unlike tools whose free tier is a working, if small, pipeline. Upward, the $209 Professional tier is a large step for what is mostly concurrency, and a team comfortable with code can rent the same throughput from a request-level API for less. Octoparse is worth its price precisely when nobody on the team wants to write or maintain a scraper, and it stops being worth it the moment someone does.
Strengths & limitations
Strengths
- One of the most capable point-and-click builders in the category: loops, branches, detail-page drill-down, and login handling without writing a selector.
- Auto-detect produces a working scraper from a bare URL on most listing pages, which collapses the first hour of work to a minute.
- Cloud extraction with IP rotation, residential proxies, and CAPTCHA solving is bundled into the subscription rather than billed as separate infrastructure.
- Concurrency is a purchasable dial: 20 parallel cloud runs on Professional turns multi-day crawls into overnight ones.
- Several hundred maintained templates cover the targets small teams actually ask for, including maps, marketplaces, and social platforms.
- An official MCP server plus a REST API and CLI means the data can be pulled by an agent or an automation platform, not just downloaded by a human.
- A decade of continuous development and several million registered users, which matters in a category full of tools that quietly stop being maintained.
Limitations
- No custom JavaScript injection and no Playwright or Puppeteer style control, so interaction patterns the visual actions cannot express are simply out of reach.
- Workflows live inside the application and are not text you can version, review, or deploy through CI, which is a hard blocker for engineering-led teams.
- The free plan has no cloud runs, no scheduling, and no IP rotation, making it an evaluation sandbox rather than a small working pipeline.
- Support is email and ticket based with no live chat, and response priority is tied to plan tier, which is slow when a scraper breaks on a deadline.
- The desktop builder is the primary surface, so building requires a Windows or macOS machine; the companion Octoparse AI RPA product is a separate, Windows-oriented purchase.
- Scrapers break when target sites change their markup, and the failure is often silent (empty fields rather than an error), so recurring tasks need periodic manual verification.
- Aggressive anti-bot systems still defeat it; residential proxies and CAPTCHA solving raise the ceiling but do not match a dedicated unblocking API on the hardest targets.
- The refund window is 5 days, which is short relative to the time it takes to discover that a specific target site is not reliably scrapeable.
Head-to-head comparisons
7 alternativesOctoparse vs Zenrows
from Free (5,000 credits per month); paid plans from $19 per month, or about $16 per month billed annuallyDifferent layers of the same problem. ZenRows is a request-level API: you send it a URL, it handles proxies, browser rendering, and anti-bot bypass, and you parse the HTML yourself in code. Octoparse gives you the parsing and the workflow but is weaker on the hardest anti-bot targets. If you have an engineer and the site is heavily defended, ZenRows is the better tool and usually the cheaper one per page. If nobody is writing code, ZenRows returns HTML you cannot use.
Full Octoparse vs Zenrows comparisonOctoparse vs Common Room
from About $2,500 per month billed annually (roughly $30,000 per year) on the Essential planNot competitors, but they get shortlisted together by teams asking where GTM signal comes from. Common Room ingests and unifies signal from communities, social platforms, product usage, and CRM through supported integrations, then scores and routes it. Octoparse extracts arbitrary data from any public page with no integration required. Common Room is the better answer when your signal lives in systems it already connects to; Octoparse is the answer when it lives on a website that has no API and never will.
Full Octoparse vs Common Room comparisonOctoparse vs Apify
from Free with $5 of monthly platform credit; paid plans from $29 per month ($26 billed annually)Apify is the developer-facing version of this market: a marketplace of thousands of Actors plus a platform for running your own Node or Python scrapers, priced by compute and usage. Octoparse is a single visual product with fixed subscription tiers. Apify wins on flexibility, ecosystem breadth, and the ability to hand a scraper to an engineer to modify; Octoparse wins on time-to-first-dataset for someone who will never open a code editor, and its flat pricing is easier to forecast than usage-based compute.
Full Octoparse vs Apify comparisonOctoparse vs Browse AI
from Free (50 credits per month, 2 websites); paid plans from $19 per month billed annuallyThe closest direct rival for non-technical buyers. Browse AI is browser-based with no desktop install, leans hard on monitoring and change detection, and prices by credits. Octoparse's desktop builder handles complex multi-level workflows, logins, and deep pagination more comfortably, and its concurrency model is better suited to large one-time crawls. Choose Browse AI to watch a set of pages for changes; choose Octoparse to extract a large structured dataset with awkward navigation.
Full Octoparse vs Browse AI comparisonOctoparse vs PhantomBuster
from $69 per month (Start), or $56 per month billed annuallyPhantomBuster is narrower and more opinionated: a library of ready-made automations aimed almost entirely at LinkedIn, X, Instagram, and other social platforms, with sequencing between them. Octoparse is general purpose and will scrape a county permit database as happily as a marketplace. Teams doing social prospecting get further faster with PhantomBuster; teams whose data lives on ordinary websites need Octoparse, and plenty of GTM teams end up running both.
Full Octoparse vs PhantomBuster comparisonOctoparse vs Clay
from Free plan; paid from $149/moClay is an enrichment and orchestration layer, not a scraper: it takes a list and runs it through dozens of data providers and AI steps to fill columns. Octoparse builds the list in the first place, from sources no provider covers. The common pattern is Octoparse for acquisition and Clay for enrichment, and the mistake is expecting Clay's scraping steps to replace a purpose-built extraction workflow on a complicated site.
Full Octoparse vs Clay comparisonOctoparse vs n8n
from About $24/mo (Cloud Starter, 2,500 executions; roughly $20 on annual billing)Complementary rather than competing. n8n orchestrates: it can schedule an Octoparse run through the Data Export API, transform the rows, and push them into a CRM or warehouse. Its own HTTP and HTML nodes can scrape simple static pages, so light jobs never need Octoparse at all. Once a target requires clicking, scrolling, logging in, or rotating IPs, n8n calls Octoparse rather than replacing it.
Full Octoparse vs n8n comparisonImplementation & onboarding
- Setup time
- Under an hour from download to a first working scraper on a straightforward listing page, largely because auto-detect does the initial configuration. A complex multi-level workflow with logins and conditional branches is a half-day exercise the first time and much faster afterwards.
- Learning curve
- Low to start, moderate to master. The clicking layer is genuinely accessible. What takes longer is learning the failure modes: when to override auto-detect, how long to set waits on JavaScript-heavy pages, when a loop is matching too many elements, and how to read a run that returned 40 rows instead of 400.
- Onboarding
- Self-serve with an extensive documentation site, a large video tutorial library, and a template gallery that doubles as worked examples. Professional includes 1-on-1 training sessions, which is the fastest path for a team with an awkward target site.
- Migration notes
- There is no import path from other scraping tools; workflows are rebuilt in the Octoparse builder. Historical data exports cleanly to CSV or JSON before cancellation, but cloud-stored datasets are tied to the subscription, so pull everything you need first. Moving off Octoparse means rebuilding scrapers elsewhere, which is the main lock-in and a reason to keep a written record of what each task targets and extracts.
Platform, API & security
- Platforms
- Windows desktop app (Windows 10 64-bit or higher)macOS desktop appWeb dashboard for cloud task managementBrowser-based free web tools
- API
- Data Export API (REST) on paid plans for triggering runs and retrieving results, plus a CLI and an official MCP server released in May 2026 that exposes template search, task management, cloud runs, and structured export to MCP-compatible AI clients.
- Compliance
- GDPR-aligned data handlingCCPAStandard cloud infrastructure security controls
- Data residency
- Cloud extraction and stored datasets run on the company's own cloud infrastructure; region selection is not a published self-serve option.
- SSO
- Not published as a self-serve feature; enterprise access controls are handled through the quoted Enterprise plan.
- Security notes
- Credentials entered in login steps are stored with the task, so shared accounts and least-privilege logins are the sensible practice. Because the tool scrapes third-party sites, the meaningful risk is legal rather than technical: respect robots directives and terms of service, and treat scraped personal data as regulated data under GDPR and CCPA regardless of it being publicly visible.
Support & resources
- Channels
- Email and ticket support (support@octoparse.com)Priority support on Professional and above1-on-1 training sessions on ProfessionalDocumentation, help center, and video tutorial library
- Documentation
- Thorough documentation covering every workflow action, plus a large tutorial video library and per-template guides. The written docs are better than the category average and are the main reason self-serve onboarding works.
- Community
- An active user forum and a high-volume blog on scraping technique and use cases, which functions as both marketing and genuine category education. There is also a public GitHub organization hosting the MCP server.
Company
- Founded
- 2016
- Headquarters
- Walnut, California, United States
- Ownership
- Independent, privately held (Octopus Data Inc.)
- Funding
- No publicly disclosed institutional funding round; the company has operated self-funded on subscription revenue.
Timeline
- 2016Octopus Data Inc. launches Octoparse as a Windows desktop visual web scraper with a free tier.
- 2018Cloud extraction with IP rotation and scheduling becomes the core paid differentiator over local-only runs.
- 2020Version 8 rebuilds the interface around auto-detect, cutting the time to a first working scraper dramatically.
- 2022Preset template library expands past several hundred targets, and Octoparse AI launches as a separate RPA-oriented product.
- 2024A macOS desktop build ships, ending years of Windows-only building and the virtual machine workarounds it forced on Mac users.
- 2026Official MCP server launches in May, adding AI-client access to templates and cloud runs, alongside URL-to-Markdown AI extraction and desktop release 10.1.1 in July.
Integrations
- Google Sheets
- Google Drive
- Dropbox
- Amazon S3
- Zapier
- Make
- n8n
- Claude and other MCP clients
- ChatGPT
- Cursor
- Gemini CLI
- Databases via API export
Frequently asked questions
12 questionsWhat is Octoparse used for?
Extracting structured data from websites without writing code. You load a page in its desktop app, click the elements you want, and it builds a repeatable workflow that handles pagination, scrolling, logins, and detail-page drill-down. Typical uses are prospect and lead list building, competitor price monitoring, marketplace and review data, real estate and job listings, and academic or market research on sites that offer no API.
Is Octoparse free?
There is a permanent free plan: 10 tasks, one user, one device, two concurrent local runs, and 50,000 exported rows per month with a 10,000-row cap per single export. The important limit is that free runs happen on your own machine with your own IP, with no scheduling and no IP rotation. Cloud extraction, which is what makes a scraper reliable, starts on the $69 monthly Standard plan.
How much does Octoparse cost?
Standard is $69 per month, or $58 per month billed annually, for 100 tasks and up to 3 concurrent cloud runs. Professional is $249 per month, or $209 billed annually, for 250 tasks and up to 20 concurrent cloud runs plus cloud storage destinations and priority support. Enterprise is quote-only. Annual billing saves about 16 percent, and paid plans carry a 5-day money-back guarantee.
What counts as a task in Octoparse pricing?
A task is a saved scraper configuration, not an individual run. On Standard you can keep 100 distinct scrapers and run each of them as often as your schedule allows; the constraint on throughput is concurrent cloud runs, not the task count. This is why the jump from 3 to 20 concurrent runs on Professional is usually the real reason to upgrade rather than the task ceiling.
Does Octoparse work on Mac?
Yes. A macOS desktop build is available alongside the Windows version (Windows 10 64-bit or higher), and the core scraping features are the same. The historical answer was no, which is why older reviews still describe Mac users running it in a virtual machine. The separate Octoparse AI RPA product remains Windows-oriented.
Can Octoparse scrape sites with CAPTCHAs and anti-bot protection?
Paid plans include automatic CAPTCHA solving and rotate through a proxy pool including residential addresses on cloud runs, which handles most ordinary rate limiting and challenge pages. It does not reliably defeat the most aggressive commercial anti-bot systems. If your target is one of those, a specialist unblocking API such as ZenRows will get through where Octoparse will not.
Does Octoparse have an API?
Yes, on paid plans. The Data Export API lets another system trigger runs and retrieve results, there is a CLI for scripted execution, and since May 2026 an official MCP server exposes template search, task management, cloud runs, and structured export to MCP clients including Claude, ChatGPT, Cursor, and Gemini CLI. None of these are available on the free plan.
Octoparse vs Apify: which should a small business choose?
Choose Octoparse if nobody on the team writes code: the visual builder gets you a dataset the same day and the flat subscription is easy to forecast. Choose Apify if you have an engineer, want a marketplace of thousands of ready-made Actors, or need to run custom Node or Python scrapers on managed infrastructure. Apify is more flexible and its usage-based pricing can be cheaper at low volume and more expensive at high volume.
Is web scraping with Octoparse legal?
The tool is legal; specific uses may not be. Scraping publicly accessible pages is generally permissible in many jurisdictions, but a site's terms of service, its robots directives, copyright in the content, and data protection law all constrain what you may collect and what you may do with it. Scraped personal data is regulated data under GDPR and CCPA even when it was publicly visible. Get legal advice before building a business on scraped personal data.
What happens when a website changes and my scraper breaks?
You rebuild the affected steps in the workflow, usually by re-running auto-detect on the changed page or fixing the XPath by hand. The problem is detection: a broken scraper often returns empty fields rather than an error, so a scheduled task can quietly produce nothing for days. Task monitoring and run-history row counts are how you catch it, and any production use should include a periodic sanity check on output volume.
Who owns Octoparse?
Octopus Data Inc., an independent privately held company headquartered in Walnut, California. It has no publicly disclosed institutional funding round and has operated on subscription revenue since launching the product in 2016.
Can Octoparse scrape data behind a login?
Technically yes: a login step records credential entry and cookies can persist between runs, which is how recurring extraction from account-gated pages works. Whether you should is a separate question, because most platforms' terms of service prohibit automated collection from authenticated areas and accounts get banned for it. Use a dedicated account, expect it to be at risk, and read the terms first.
Editorial verdict
Octoparse is the mature answer for a team that needs recurring web data and has nobody to write a scraper. The visual builder is genuinely more capable than the browser extensions it competes with at the low end, auto-detect removes most of the setup friction, and the cloud tier bundles proxies, CAPTCHA solving, scheduling, and concurrency into one predictable subscription rather than four separate infrastructure bills. The May 2026 MCP server is a real addition rather than a press release, because it lets an agent call the tool instead of a person opening it. The honest caveats are that the free plan is an evaluation sandbox and not a working pipeline, that workflows are trapped in the app with no version control or custom JavaScript, that support is email-only when a scraper breaks on a deadline, and that the hardest anti-bot targets still defeat it. Buy it at Standard when the alternative is a spreadsheet and a copy-paste habit; look at an API-first tool the moment an engineer is available to use one.
Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.