Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google Analytics
SheetSteps
Better Sheets
ExcelBot
Google Sheets
Import Sheet
Sheet2api
SheetAI App
Sheets by Google
Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
SheetSteps is a Google Sheets tool for scraping website data and turning it into live, reusable spreadsheet formulas. It helps users extract structured information from web pages - such as prices, listings, contact details, tables, and other changing data, without manually copying and pasting. The extracted data can be used inside formulas that refresh as the source changes, making SheetSteps useful for research, lead generation, price monitoring, inventory tracking, and competitive analysis. It brings web scraping and dynamic data collection directly into the familiar Google Sheets workflow.
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SheetSteps's answer:
SheetSteps combines AI-powered web scraping and live spreadsheet formulas directly inside Google Sheets. Users can turn a webpage, list of URLs, or entire sitemap into clean, structured columns, then use formulas such as SHEETSTEPS_EXTRACT to pull data into individual cells. It also supports JavaScript-rendered websites, saved scraping recipes, monitoring, and safe previews before anything is written to the spreadsheet.
SheetSteps's answer:
SheetSteps removes the need to switch between a separate scraping tool, CSV exports, and Google Sheets. Users can describe the information they need in plain English, preview real results, approve the destination columns, and run the workflow directly from their spreadsheet. It is designed to be approachable for nontechnical users while still supporting bulk URLs, sitemaps, custom fields, JavaScript rendering, reusable recipes, and recurring monitoring.
SheetSteps's answer:
SheetSteps is primarily designed for people and teams that use Google Sheets to collect and maintain web data. This includes SEO professionals conducting site audits, ecommerce teams monitoring products and prices, sales teams researching prospects, analysts collecting comparable information, marketers organizing online content, and operations teams automating repetitive spreadsheet work.
SheetSteps's answer:
SheetSteps began with a simple goal: helping people get unstuck in Google Sheets through practical tutorials, working formulas, and editable templates. Over time, it became clear that users did not only need instructions, they needed a tool that could complete repetitive spreadsheet work for them. SheetSteps therefore evolved into an AI workspace focused on bringing web data into Google Sheets, creating live formulas, analyzing spreadsheets, and automating workflows while keeping results transparent and reviewable.
SheetSteps's answer:
SheetSteps is built around the Google Sheets add-on platform and spreadsheet custom functions. Its product also uses AI model integrations, web-crawling and data-extraction technology, managed browser rendering for JavaScript-based websites, and cloud-based background processing for bulk scraping and scheduled monitoring. Users can also bring their own AI API key.
Based on our record, Looker seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: over 3 years ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 3 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 4 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 4 years ago
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Better Sheets - Make Better Google Sheets
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
ExcelBot - From Text Instructions to Excel Formula or VBA Code
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
Google Sheets - Synchronizing, online-based word processor, part of Google Drive.
