To scrape a website to Excel, describe the columns you want, let a robot browse the site and collect the rows, then export the result as XLSX, CSV, or a live Google Sheet. WebRobot does all three: you write one plain-English sentence, an AI agent clicks through pagination and logins the way a person would, and a clean spreadsheet lands where you asked for it.
Put it on a daily or hourly schedule and the file refreshes itself. No Power Query, no VBA macro, no copy and paste at 8am on Monday.
Last updated July 2026
Robot console · WR-01
Standing by Running · s Complete · rows
1 · Pick a target
3 · Fields to extract
Agent log
Crawl graph
Extracted data · rows
Want this data fresh every morning, without lifting a finger?
| Method | Good for | Where it breaks | Automatic refresh |
|---|---|---|---|
| Copy and paste | One small table, once | Anything with more than one page. Formatting arrives as a mess of merged cells. | No |
| Excel Power Query (Data, From Web) | Public static HTML tables | Logins, JavaScript-rendered tables, infinite scroll, "load more", anti-bot pages. The preview comes back empty. | Timed refresh, if the page still parses |
| VBA macro | Teams already living inside Excel | You now own a scraper written in VBA. Every site redesign is your ticket. | Only while the macro still matches the HTML |
| Python (BeautifulSoup, Selenium, pandas) | Engineers who want total control | Proxies, browser fingerprints, retries and selector rot become a maintenance job. | Yes, once you build and host the scheduler |
| AI scraping agent (WebRobot) | Business teams who want the spreadsheet, not the project | Sites that legally forbid collection. We honor robots.txt and rate limits. | Yes. Daily, hourly, or real-time |
Power Query deserves credit: it is free, it ships inside Excel, and for a static price list or a Wikipedia table it is the right answer. Reach for a no code web scraper when the data sits behind a login, loads on scroll, or spans 400 paginated results.
STEP 01
Give the robot a starting page and a sentence: "for every laptop in this category, give me the product name, price, rating, review count and whether it is in stock." Those become your spreadsheet headers. No CSS, no XPath, no point-and-click selector picking.
STEP 02
It renders the page in a real browser, clicks "next" and "load more", follows each product link if the detail sits one level down, logs in if you gave it credentials, and keeps collecting until the list is finished. You watch the rows appear as it works.
STEP 03
Download XLSX or CSV, or connect a Google Sheet and let every run write into it. Set a schedule and the file keeps itself current. That is the whole difference between a one-off export and web scraping to Excel automatically.
WHAT YOU TYPE
Target: https://shop.example.com/laptops
"From every product in this category, across all
pages, extract: product name, brand, current price,
list price, star rating, review count, and whether
it is in stock. Follow each product link for the
SKU and shipping estimate."
Deliver to: Google Sheets · daily 06:00 ET · appendWHAT LANDS IN THE SHEET
| product_name | price | rating | in_stock |
|---|---|---|---|
| ProBook 14 G11 | 899.00 | 4.6 | TRUE |
| ZenLine 15 OLED | 1249.00 | 4.8 | FALSE |
| Vector Pro 16 | 1799.00 | 4.4 | TRUE |
| Nomad Air 13 | 649.00 | 4.2 | TRUE |
Typed columns, one row per record, no merged cells and no scraped navigation junk. Prices arrive as numbers, so a pivot table works on the first try.
XLSX / CSV
Every run produces a typed spreadsheet you can open in Excel or Numbers. Numeric columns stay numeric, dates stay dates, and each run is kept so you can diff last week against this week.
GOOGLE SHEETS
Connect a sheet once and choose append or overwrite. To scrape data into Google Sheets on a schedule, that is the entire setup. Charts and pivots built on the tab keep working after each run.
SLACK / ZAPIER
Post new rows or changed values into a channel, or hand them to Zapier and let it file them in Airtable, HubSpot or a database. Included on Scale and Autopilot.
API / WEBHOOK
Skip the spreadsheet: pull rows as JSON from the web scraping API or take a webhook the moment a run finishes. Warehouse teams usually start here.
| Cadence | Typical job | Why that interval | Plan |
|---|---|---|---|
| Daily | Catalog exports, job boards, directory lists, marketplace inventory | The underlying data changes overnight at most | Launch, $79/mo |
| Hourly | Competitor prices, stock levels, flash sales, auction listings | An eight-hour-old price is a decision you already lost | Scale, $249/mo |
| Real-time monitor | Ticket drops, restocks, regulatory filings, breaking listings | Value decays in minutes, and the alert is the product | Autopilot, $699/mo |
Hourly runs plus change alerts also cover the classic pricing job. If that is the whole reason you are here, read the price monitoring tool page, or the walkthrough on how to monitor competitor prices. Full limits per tier live on pricing.
SYMPTOM 01
The rows are drawn by JavaScript after load, or the layout is a grid of divs rather than a real <table> element. Excel only sees the raw HTML response. A rendering agent loads the page in a real browser first, so the finished rows exist by the time anything is read.
SYMPTOM 02
The rest sit behind pagination, a "load more" button, or infinite scroll. The robot clicks through all of it, deduplicates, and stops when the list genuinely ends rather than when the first screen does.
SYMPTOM 03
Portals, wholesale catalogs, dashboards and member pricing all sit behind a form. Agent actions (logins, forms, multi-step flows) are included on Scale and Autopilot, so the robot signs in and continues. See browser automation.
SYMPTOM 04
Selector rot. The site renamed a class and your saved query, macro or scraper is still pointing at the old path. WebRobot stores your intent ("price", "stock") rather than a CSS path, so it re-locates the field after a redesign instead of quietly writing blanks.
Every SKU on a competitor's category page with price, list price, promo badge, rating and stock, appended to one sheet each morning so the pricing team can see the delta week over week.
Company name, category, city, phone and site from an industry directory or association member list, exported to Excel and dropped into the CRM. Read the data extraction tool page for the contact-data patterns.
Listings with address, beds, baths, square footage, price and days on market, refreshed daily so the comps sheet is never a month behind.
Titles, locations, posted dates and salary bands across a set of career pages. Sales teams read it as intent data; recruiters read it as market rate.
Public registries, filings and funding databases that publish HTML but no export button. The robot supplies the export button they never built.
Distributor portals behind a login, where the price you pay is not the price on the public site. The robot logs in, reads your rates, and writes them to the sheet procurement already uses.
More patterns sit on the use cases page, and the general how-to is in how to scrape data from any website. For the wider category, start at the web scraping tool pillar.
FINAL ASSEMBLY
Describe the columns once. The robot fills them today, and every scheduled run after that, in Excel or Google Sheets.