A good no code web scraper lets you collect product prices, directory listings or research data by clicking on what you want instead of writing selectors and scripts. In 2026 the category has split into three groups: desktop and cloud apps with visual workflow builders, browser extensions that turn a page into a spreadsheet in seconds, and AI-assisted tools where you describe the data in plain English and the software works out the rest.
The no-code web scraping tools below were chosen for people who need data but not a development project: marketers tracking competitors, analysts building market research datasets, ecommerce teams monitoring prices, and founders validating ideas. Each one works as a web scraper without coding for typical jobs, though the more capable tools still reward a little patience when pages get complicated. For background on how scraping works under the hood, see our beginner’s guide to web scraping.
We checked features, plans and free tiers on each vendor’s website in October 2026. Prices move, so confirm them before you buy. Whatever you choose, collect only public data you have a legitimate reason to use, keep request rates modest, and respect each site’s terms.
| Company | Headquarters | Best For | Standout Trait or Pricing Model |
|---|---|---|---|
| Octoparse | Irvine, California, USA | Complex sites and scheduled cloud runs | Free plan, paid from $69 a month billed annually |
| Browse AI | Vancouver, Canada | Monitoring sites for changes | 50 free credits a month, paid from $19 a month billed annually |
| Apify | Prague, Czech Republic | Running ready-made scrapers from a form | Free plan with $5 of monthly usage |
| Web Scraper | Adazi, Latvia | A free extension with an optional cloud | Free extension, cloud from $50 a month billed annually |
| Thunderbit | Remote-first, distributed team | Describing data in plain English | Free tier, paid from $9 a month billed annually |
| ParseHub | Toronto, Canada | A free visual desktop app | Free plan with 200 pages per run |
| Bright Data | Netanya, Israel and New York, USA | Pre-built scrapers for popular domains | $1.50 per 1,000 records pay as you go |
| Import.io | San Francisco, USA | Teams that may want a managed service later | 30-day trial with 5,000 successful queries |
| Data Miner | Seattle, Washington, USA | Quick extraction with community recipes | Free plan with 500 pages a month |
| Listly | Not listed on its site | One-click page to Excel or Google Sheets | Free plan with 10 URLs a month |
Octoparse is the most fully featured visual web scraper on this list. In its desktop app you load a page, let auto-detect propose the fields, and build a workflow that clicks, scrolls, paginates and loops through lists. When the defaults are not enough, you can fine-tune the XPath for any step without leaving the visual editor. A newer AI Assistant can draft a reusable scraper from a plain-language description of the data you need.
Made by Octopus Data Inc. in Irvine, California, Octoparse says more than 4 million users have registered since its 2016 launch. The free plan covers 10 tasks running on your own computer, with up to 50,000 exported rows a month. Standard, from $69 a month billed annually, adds cloud extraction, scheduling, IP rotation, API access and more than 500 preset templates for popular sites. Professional, at $249 a month billed annually, adds more cloud concurrency and direct exports to Google Sheets, Google Drive, Dropbox and S3.
The learning curve is real for complex workflows, but Octoparse offers tutorials, a crawler setup service from $399 and a full data service for teams that would rather hand the job off.
What stands out:
Best for: analysts and ecommerce teams who need recurring, scheduled extraction from complex sites.
Browse AI lets you train a robot by pointing at a page. The AI proposes columns from what it sees, you review and approve them, and Robot Studio handles actions such as filling forms, choosing from drop-downs and paginating. Once a robot works, you can schedule it hourly, daily, weekly or monthly and get alerts when the content changes, which makes Browse AI as much a monitoring tool as a scraper.
Integrations are a strength. Results sync to Google Sheets or Airtable, flow through Zapier, Make or Pabbly Connect, or go out through a REST API, webhooks or Amazon S3. The company advertises more than 250 prebuilt robots for common sites and says it is SOC 2 Type II certified.
The free plan includes 50 credits a month and two websites. Personal costs $19 a month billed annually or $48 billed monthly, and Professional costs $69 a month billed annually, with a Premium tier from $500 a month for larger volumes.
What stands out:
Best for: marketers and operations teams who need to track competitor pages over time.
Apify is a developer platform, but its Store makes it one of the most useful tools for non-coders too. The Store listed more than 94,000 Actors when we checked, and most of them run from an input form: you paste a start URL or search term, set a few options, and press start. Results land in a dataset you can download as JSON, CSV or Excel, or send onward through integrations and the API.
Because each Actor is maintained by Apify or its community of developers, quality varies. Check an Actor’s ratings, run history and last update before relying on it, and prefer official or well-maintained ones for important work. Scheduling is built in, so a working Actor can refresh your data automatically.
The free plan gives $5 of prepaid usage every month with no card, enough for small jobs. Paid plans start at $19 a month plus usage. When a no-code Actor cannot do what you need, a developer can build a custom one on the same platform.
What stands out:
Best for: non-technical users whose target sites already have a well-maintained Actor.
Web Scraper, built by a team based in Adazi, Latvia, starts as a free browser extension in the Chrome Web Store. You define a sitemap visually inside your browser’s developer tools panel, selecting the elements to collect and the links to follow, and the extension crawls the site and exports what it finds. An AI-assisted builder now helps set up the selectors faster.
When a project needs to run on a schedule or at larger scale, Web Scraper Cloud takes over. Plans start at $50 a month billed annually for 5,000 URL credits and two concurrent scrapers, with Professional at $100 a month for 20,000 credits and Scale from $200 a month with unlimited credits. A URL credit is used each time the cloud loads a page, no matter how many records it pulls from that page. Cloud plans add a scheduler with CRON support, a built-in datacenter proxy network, a REST API, and exports to CSV, XLSX and JSON or to Google Sheets, Google Drive, Dropbox, Amazon S3, Azure and Google Cloud.
All paid plans come with a 7-day free trial, and the free extension remains fully usable on its own for one-off jobs.
What stands out:
Best for: budget-conscious users who want to start free and scale into the cloud later.
Thunderbit, founded in 2023 as a remote-first company, takes the AI-first route. Instead of building a workflow, you describe the data you need, and its AI works out the selectors, pagination and data types. It runs as a Chrome or Edge extension and a web app, and the company reports more than 200,000 active users.
Paid plans add subpage scraping, which follows links from a list page to pull details from each item, along with pre-built scrapers, bulk scraping, pagination, data enrichment and scheduled scrapers. Results export to Excel, Google Sheets, Airtable or Notion. For teams that later want to automate further, Thunderbit also offers a web scraper API, a CLI and an MCP server.
The free plan covers 6 pages a month, which is enough to test the tool. Starter costs $9 a month billed annually for 5,000 credits a year, and Pro was listed at $16.50 a month billed annually under a limited-time discount, with custom Business plans above.
What stands out:
Best for: busy non-technical users who want results from a few prompts rather than a workflow builder.
ParseHub, based in Toronto, Canada, is a desktop application for Mac, Windows and Linux. You click on the elements you want, and ParseHub records the steps a visitor would take, including navigating between pages, so it can repeat them on its servers. Developers on your team can trigger runs and fetch results through its REST API and webhooks.
Its free plan is one of the most useful in the category: 200 pages per run and 5 public projects, with data kept for 14 days. Standard costs $189 a month for 10,000 pages per run, 20 private projects, IP rotation, scheduling and saving images and files to Dropbox or S3. Professional, at $599 a month, removes the page cap, raises the limit to 120 private projects and runs faster. ParseHub Plus offers a done-for-you service for teams that want data delivered.
ParseHub’s interface feels older than newer AI tools, but it is dependable for structured projects and costs nothing for small ones.
What stands out:
Best for: researchers and students who need a capable free visual scraper.
Bright Data is best known for enterprise proxies and APIs, but its No-Code Scraper is aimed squarely at non-technical users. You pick from pre-built scrapers covering more than 120 popular domains, such as major ecommerce marketplaces, trigger a collection on demand from the Control Panel, and download the results as JSON or CSV. Scraping history logs are kept for you.
Pricing is per record rather than per subscription: $1.50 per 1,000 records pay as you go, falling to $0.75 per 1,000 on a $1,999 monthly plan. If you would rather skip scraping altogether, Bright Data sells pre-collected datasets drawn from more than 900 domains, starting at $250 per 100,000 records, and its AI Scraper Studio can generate a scraper for a new domain.
Because the scrapers run on the same infrastructure Bright Data sells to large enterprises, reliability on difficult sites is a strength. The company also publishes a Trust Center and says it vets customers before granting access.
What stands out:
Best for: ecommerce and market research teams that need reliable data from major marketplaces.
Import.io, founded in 2012 and headquartered in San Francisco, was one of the first point-and-click extraction tools and has grown into a web data company. Its self-service Data Extraction platform lets teams build extraction workflows, schedule them and deliver the results, while AI extraction models map different page layouts to the schema you define and adapt when layouts change. Output arrives typed and verified, with provenance attached.
The difference from most tools here is the path upward. If your needs outgrow self-service, Import.io’s Managed Web Data service runs the collection for you on dedicated infrastructure. It also offers pricing and MAP monitoring products for retailers and brands, and a hosted MCP endpoint for AI agents. The company has been part of the Neuralogics group since October 2025.
Self-service plans scale with the number of successful queries and are billed monthly or annually. A 30-day trial includes 5,000 successful queries with no credit card. Managed services are priced through sales.
What stands out:
Best for: brands and retailers who want to start self-serve with the option to outsource later.
Data Miner is a browser extension published in the Google and Microsoft extension stores by Software Innovation Lab LLC of Seattle, Washington. Its core idea is recipes: saved extraction rules for specific sites. When you open a page, Data Miner filters thousands of public recipes to show the ones that match, so for many common sites you can extract a table with one click. You can also build your own recipe by pointing at elements.
Next-page automation is included even on the free Starter plan, which covers 500 pages a month. Paid plans start with Solo at $19.99 a month, adding crawl automation across lists of URLs, custom JavaScript, access to all domains and Google Sheets export, with Small Business, Business and Business Plus plans offering more pages. Note that the free plan locks if you exceed its monthly page limit, so upgrade before large runs.
What stands out:
Best for: sales, research and operations staff who need quick tables from familiar sites.
Listly is the simplest tool on this list. It turns a web page into an organized Excel sheet with a single click, detecting the repeating data on the page and laying it out as rows and columns. Exports go to Excel or Google Sheets, and images can be downloaded too.
The free plan includes 10 URLs a month of basic extraction. Light costs $25 a month billed annually and adds deep extraction, load-more handling and multi-tab extraction, while Business, at $75 a month billed annually, adds scheduled extraction, auto-scroll and auto-click, an included datacenter proxy, action scripts and an API that returns CSV or JSON. Listly does not list its company address on its site, which some procurement teams will want to clarify before buying.
What stands out:
Best for: individuals who want spreadsheet-ready data with almost no setup.
For a one-off export, a browser extension such as Web Scraper, Data Miner, Listly or Thunderbit is usually fastest, because it runs in your own browser with no setup. For data that must refresh daily or weekly, choose a tool with cloud runs and scheduling, such as Octoparse, Browse AI, Apify or Web Scraper Cloud. If price tracking is the goal, our list of cloud-based scraping tools for ecommerce monitoring goes deeper.
Simple lists and tables work in almost any tool. Pages that need logins, search forms, infinite scroll or clicking into detail pages call for a workflow builder such as Octoparse, ParseHub or Browse AI, or for Thunderbit’s subpage scraping. If you hit pages no visual tool can handle, that is the point to consider an API or a developer, as covered in our guide to web scraping tools for data extraction.
Check exports before you commit. Most tools handle CSV and Excel, but direct Google Sheets, Airtable, Notion, Zapier or S3 delivery saves manual work every week. SEO teams pulling search or site data into reports may also find ideas in our piece on web scraping for SEO.
No-code pricing is measured in very different units: tasks, credits, rows, pages, URLs or records. Estimate how many pages you will load each month and convert each plan into a cost per page before comparing. Free tiers are good for testing, but several lock or pause when you exceed them.
No-code tools make scraping easy, which makes judgment more important. Stick to publicly available data you have a legitimate business reason to use, avoid personal data unless you have a lawful basis, keep schedules and request rates modest, and check a site’s terms and any official API first.
The top no-code web scrapers in 2026 range from one-click extensions to full visual workbenches. Octoparse and ParseHub suit structured projects on complex sites, Browse AI excels at monitoring, and Apify and Bright Data give non-coders access to scrapers built by specialists. Web Scraper, Thunderbit, Data Miner and Listly are the fastest way to turn a page into a spreadsheet, while Import.io offers a path from self-service to managed data.
Start with a free plan on the exact pages you need, check that the export lands where your team works, and only then pay for scale. The right visual web scraper is the one your team will actually keep running.