Octoparse vs Web Scraper: Visual Scraping Tools Compared (2026)

Web Scraper tells you its ceiling in advance: 10 minutes of extraction time from a single URL, 100 selectors per sitemap, 20,000 start URLs. Octoparse publishes nothing equivalent, only task counts and a row cap. Both are point-and-click web scraping products for people who do not write code, and that gap in what each vendor is willing to state up front runs through the whole comparison. Analysts, ops teams and researchers reach for them when a recurring dataset is needed and engineering time is not available.

Both work. Both also have a ceiling, and it is worth knowing where that ceiling is before a weekly report depends on it. Everything below was read from vendor pricing pages and documentation on 2026-07-27. Those pages change. Treat the numbers here as dated observations, not permanent facts.

Two shapes of the same idea

Octoparse is built around a desktop client. You install it, point it at a URL, let auto-detect draft a workflow, then adjust the steps by hand. The same task can then run in Octoparse's cloud instead of on your laptop. The vendor's homepage describes an AI-assisted auto-detect that drafts the workflow before you customize it with drag and drop, and says the cloud "operates 24/7".

Web Scraper inverts the packaging. You build a sitemap inside the browser extension by clicking elements on the live page, and the sitemap is a portable definition of the crawl. Its cloud documentation is explicit that Web Scraper Cloud "uses sitemaps that are built by using Web Scraper browser extension to run scraping jobs". The free extension doubles as the authoring tool for the paid product, so you keep using it after you start paying instead of moving to a separate cloud editor.

That difference shows up in team workflows. A Web Scraper sitemap is an artifact one person can build and another can run. An Octoparse task lives inside the application and the account.

Platform support is the other structural split. Octoparse's download page listed "10.1.0 for Windows 10 (64-bit) or higher" alongside a "Download for Mac" link with no version number beside it. Our directory entry describes the client as Windows-based. If macOS is your requirement, confirm the current Mac build's version and feature parity with the vendor before you buy, because the download page does not state either. Web Scraper's installation docs list Chrome 100 or higher and Firefox 113 or higher, so the browser is the whole requirement and the operating system does not matter.

Where free ends

Octoparse's free plan, per its pricing page: 10 tasks, one device, one user, two concurrent local runs, the last five runs of history, and a 50,000 row monthly export cap. Exports cover Excel, CSV, JSON, HTML and XML plus database targets including MySQL, PostgreSQL and Oracle. What the free plan does not include is the interesting part: no cloud extraction, no IP rotation, no proxies, no API.

Web Scraper's free extension has no row cap of that kind, but it has a harder physical limit. The scrape runs in a tab on your machine. Close the laptop and the job stops. Export is CSV and XLSX, with JSON documented as coming to the extension in a future release rather than available now.

Both free tiers draw the same boundary in different words: your own computer does the work, in the foreground, while you wait. Any recurring business process eventually collides with that. This is the same trade covered in our guide to no-code scraper deployment models.

JavaScript, pagination and infinite scroll

Neither tool is parsing static HTML by default, so both cope with pages that build themselves in JavaScript. Octoparse advertises automating logins, pagination, infinite scrolling and CAPTCHAs as ordinary workflow steps. Web Scraper's selector set includes element, link and pagination selectors plus an element click selector, which is how you express "load more" behavior.

Web Scraper Cloud makes the rendering trade explicit with two drivers. The full driver "loads the page the same way as Web Scraper browser extension. All assets are loaded and JavaScript is executed before data extraction starts." The fast driver "doesn't execute JavaScript in the page. Data is extracted from raw HTML." Choosing the fast driver where a target allows it is the single biggest lever on both speed and credit burn.

The place this gets uncomfortable is long infinite scroll. Web Scraper Cloud documents a hard cap of 10 minutes of extraction time from a single URL. A listing page that lazy-loads a few thousand rows can hit that. Octoparse does not publish an equivalent per-URL cap on its pricing page, which is not the same as not having one. If your target is one enormous scrolling page rather than many small ones, test it before committing.

Scheduling and who is awake

Scheduling is the reason most people upgrade. Octoparse puts cloud extraction and task scheduling on the Standard plan, along with three concurrent cloud processes, stepping up to 20 concurrent cloud processes on Professional. Web Scraper Cloud offers a scheduler with fixed time intervals or custom CRON expressions, and sells concurrency as a plan attribute: two concurrent scrapers on the entry plan, three on the next, and two or more on the top plan where the price is quoted per concurrent scraper.

CRON is the more expressive of the two scheduling interfaces if you need something like "every weekday at 06:00". Octoparse's concurrency ceiling is far higher if you need many tasks firing at once.

Proxies, CAPTCHAs and the anti-bot claim

Octoparse's pricing page lists "IP rotation, residential proxies, automatic CAPTCHA solving" from the Standard plan up. It does not publish pool size, IP sourcing or per-country granularity on that page.

Web Scraper's documentation is more forthcoming and, read closely, more limiting. Datacenter proxies are included in the plans. Residential is an add-on at 2.50 US dollars per GB. The docs say that "By the default, the proxy uses IP addresses located in the US. Other location IP addresses can be requested by contacting support," and that "When the proxy is enabled, the scraper will rotate IP addresses every 5 minutes." A five minute rotation window is fine for slow crawls of a friendly site and wrong for anything that counts requests per IP. The US default is a real constraint if you are collecting localized pricing, which our guide to no-code price monitoring gets into.

Both vendors make anti-bot claims that no third party has verified. Web Scraper's cloud page advertises "100+ invisible switches to make every website accessible" and names Cloudflare, DataDome, PerimeterX, Shape, F5, Imperva, Akamai Bot Manager, Kasada, hCaptcha and reCAPTCHA. Its homepage advertises "99.99% Service uptime" and "97% CSAT", both self-reported. Octoparse surfaces aggregate review scores of 4.8 on G2 and 4.7 on Capterra; those are vendor-displayed figures. Octoparse's homepage usage counters rendered as "0+ Global Users" and "0+ Businesses Served" when the page was loaded on 2026-07-27, so its headline adoption numbers were not readable at all.

We do not run first-party tests, so none of these claims are confirmed here. Treat vendor anti-bot lists the way you would treat a compatibility matrix: a statement of intent that has to be checked against your actual targets. The mechanics of why a scrape starts failing are covered in our anti-bot system entry.

Published limits, and the value of publishing them

Web Scraper Cloud documents three caps outright: a start URL limit of 20,000, a selector limit of 100, and the 10 minute per-URL extraction time. Those numbers will annoy someone eventually, but publishing them is a genuine advantage. You can tell before you subscribe whether your job fits.

Octoparse's public constraints are shaped around accounting rather than crawl mechanics: 10, 100 and 250 tasks on the free, Standard and Professional plans, plus the concurrency numbers and the free plan's 50,000 row export cap. That model suits a small number of long-running, complex tasks. Web Scraper's URL credit model, where a credit is consumed per page loaded regardless of how many records come back, suits a predictable page count and punishes deep pagination through low-yield pages.

Neither accounting model is better. They fail for different jobs. Count your pages and count your distinct targets before reading the price list, because those two numbers decide which model is cheaper for you. The same reasoning applies to metered scraping APIs, which we cover in how scraping API credit pricing works.

Head to head

All prices and limits read from octoparse.com/pricing and webscraper.io/pricing on 2026-07-27. Both vendors advertise annual billing discounts, and both quote enterprise tiers on request.

What each one is bad at

Octoparse asks you to install software, and the download page does not tell a Mac buyer what they are getting. The jump from 69 to 249 US dollars a month is steep for a team that needs one Professional-only feature, such as saving straight to Google Sheets or the advanced API. Task counting is an awkward unit for people who run many small one-off extractions. And a homepage that renders its own user counts as "0+" does not inspire confidence in the rest of the numbers on it.

Web Scraper keeps authoring locked inside a browser extension, which means the person who maintains the sitemap needs the right browser and needs to keep it updated. The extension cannot schedule anything, and JSON export from the extension is documented as a future addition rather than a current feature. Proxy geography sits behind a support request instead of a dropdown. The published caps are honest but real. Thirty day retention on the lower plans means the cloud is a delivery mechanism, not an archive, so you need somewhere to put the data.

When the answer is neither

Both tools stop being the right shape eventually, and that usually arrives from the target rather than from the volume. A site adds a device check, or pagination starts depending on a signed token that a click-built selector has no way to produce. The work turns into maintaining a workaround, and a visual builder gives you nowhere to put the fix.

The usual next step is an API that owns the blocking layer: ScrapingBee, ScraperAPI or Zyte all take a URL and return rendered HTML with proxies and challenge handling behind the endpoint. That trade, and when the lighter unblocking product is enough, is covered in web unblocker vs scraping API. If your reason for leaving is scale and orchestration rather than blocking, Apify sits between the two worlds with ready-made actors plus code when you need it.

Staying inside no-code is also legitimate. Browse AI trains browser-based robots and leans on change monitoring. ParseHub is the closest structural match to Octoparse, a desktop builder with cloud runs, and it ships Mac and Linux clients. The wider shortlist lives in the no-code scrapers category and in our guide to choosing web scraping tools. What is happening to the category as AI extraction gets cheaper is the subject of a separate post on the AI squeeze on no-code scrapers, and the general limits of the format are in where no-code scrapers stop.

Who each is wrong for

Octoparse is wrong for anyone who wants to try something in the next ten minutes without installing software, and for a Mac-only team that cannot confirm build parity first. It also handles a long tail of one-off extractions badly, since each one burns a task slot for very little return.

Web Scraper is wrong for a team that needs country-level proxy control as a routine setting rather than a support ticket, and for crawls that exceed 100 selectors or spend more than ten minutes on a single URL. It is wrong too for anyone expecting the free extension to keep collecting after the laptop closes.

If the job is occasional, browser-local, and you want a sitemap you can hand to a colleague, start with Web Scraper's extension because it costs nothing and it is the same tool you will use if you upgrade. If the job is recurring, needs cloud scheduling with IP rotation, and benefits from prebuilt templates for common sites, Octoparse is the more complete package on day one. If either one is already fighting your target rather than reading it, switching to the other will not help, and the next move is an API that owns the blocking layer.