Extract Business Directory Listings into Google Sheets with n8n and AI

TutoSartup excerpt from this article:
A business directory page describes forty... Our newest template on the n8n gallery extracts business directory listings — chambers of commerce, local business indexes, industry registries — into Google Sheets... The pipeline, in one paragraph A Schedule Trigger fires daily at 12 PM and reads a Directory Sources tab (a literal url header in row 1, one directory page URL per row below)... And ...

7 Best Free Screenshot APIs for Developers (2026)

TutoSartup excerpt from this article:
Picking a screenshot API used to be a coin flip — you signed up for whatever showed up first in a search result, wired it into your app, and only discovered its limits once a bot-blocked page came back blank or a full-page capture cut off halfway down... This roundup ranks seven screenshot APIs with a developer's priorities in mind: how faithfully they render real pages, how much control you get...

5 AI-Era Use Cases for a Screenshot API in 2026

TutoSartup excerpt from this article:
Over the last year the interesting work has shifted from rendering a page for a human to look at to rendering a page so a model can reason about it... They can guess what a page probably contains, but they can't see the rendered result of today's deploy, this morning's price change, or a layout that only appears after JavaScript runs... Ask it to "check what the pricing page looks like right now,...

From weeks to minutes: How Formula 1® uses agentic AI on AWS to accelerate data operations

TutoSartup excerpt from this article:
AWS worked backwards from our needs to implement an agentic solution that worked end to end, applying business logic at each step...” In early 2026, F1 and AWS worked together to build the Data Accelerator, a solution that uses agentic AI on Amazon Bedrock AgentCore to transform F1’s MarTech data platform from a manually maintained system into a self-managed, observable, and unified data est...

Automated Reasoning policy refinement in Amazon Bedrock

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Refining an Automated Reasoning policy in Amazon Bedrock has been a manual cycle of diagnose, hand-edit, retest, and repeat... Today, we are announcing automatic policy refinement, which automates the diagnose-and-fix work in that cycle... To get started, you build an Automated Reasoning policy from a source document and validate it with test cases... Customers told us that this iterative tuning c...

AWS Weekly Roundup: Price reduction of GPT models in Bedrock, CloudWatch managed collectors for Prometheus metrics, and more (August 3, 2026)

TutoSartup excerpt from this article:
Last week I had the joy of participating in Amazon’s “Bring Your Kids to Work Day” with my 7 year old son... We commuted together into the New York City office, his first real rush hour train ride, and spent the day exploring how Amazon uses AI, machine learning, and robotics to deliver packages to customers all over the world... Headlines Amazon Bedrock announces up to 80% lower prices for...

Major Asset Classes | July 2026 | Performance Review

TutoSartup excerpt from this article:
Markets remained mixed for a second month in July, based on a set of ETFs tracking the major asset classes... The main event in last month’s performance review: commodities rebounded after a sharp selloff in June, outperforming the other asset classes by a wide margin... Year to date, commodities (GSG) retain a strong edge over the rest of the major asset classes, posting a near‑39% advance......

Book Bits: 1 August 2026

TutoSartup excerpt from this article:
This book argues that FinTech is a distinct form of intermediary and rentier capital that is radically reorganizing the routine social relations of money and finance... People are being configured by FinTech capital as users and data rather than as consumers, a phenomenon we increasingly take for granted in our everyday lives... Langley and Leyshon analyze the rise of FinTech capital through the ...

Announcing the Agentic Catalog Experience in Amazon Quick

TutoSartup excerpt from this article:
Products like Amazon Quick can no longer operate in isolation... Three compounding challenges When data curators (business intelligence engineers, analytics leads, and senior analysts) need to enable their business users in Amazon Quick, they face three compounding challenges: Limited discoverability: With thousands of tables in enterprise catalogs, discovering the right upstream assets tha...

Announcing the Agentic Catalog Experience in Amazon Quick

TutoSartup excerpt from this article:
Products like Amazon Quick can no longer operate in isolation... Three compounding challenges When data curators (business intelligence engineers, analytics leads, and senior analysts) need to enable their business users in Amazon Quick, they face three compounding challenges: Limited discoverability: With thousands of tables in enterprise catalogs, discovering the right upstream assets tha...