Prototype AgentQL queries on live pages from your browser
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"PixieBrix has solved one of our hardest operational problems - streamlining communication & product updates across support teams. Tracking and keeping everyone in the loop has yielded better agent performance, customer satisfaction & taken a huge burden off management."

Thatcher Foster

VP, Client Solutions

Top reasons to automate AgentQL in the browser
Trigger AgentQL extractions directly from within a target web page using a PixieBrix button overlay. No external script required
Pipe extracted AgentQL data into any downstream tool (CRM, spreadsheet, database, messaging) in one click without manual copy-paste
Share a structured data view of AgentQL results with non-technical teammates directly in their browser, without them needing API access
Use the AI Copilot sidebar to prototype AgentQL natural language queries while inspecting the target page, speeding up iteration
Works as a browser extension. No server setup or additional infrastructure needed to trigger browser-based extractions
Connect AgentQL output to 3000+ downstream tools without building custom integrations
Integrate AgentQL with 3000+ apps
Featured
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Datadog monitors infrastructure, applications, logs, metrics, and performance.
Microsoft Teams enables chat, meetings, and team collaboration.
Slack is the central hub for team communication and collaboration.
Google Drive is Google’s cloud-based file storage and collaboration platform that allows individuals and teams to securely store, access, and co-edit documents, spreadsheets, and files from any device.
Freshdesk manages customer support tickets, SLAs, and conversations.
Intercom manages customer conversations across chat, email, and messaging.

Don’t see the integration you’re looking for? Check out our popular integrations.

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AgentQL frustrations that cost your team hours every week
  • Developers must context switch between the AgentQL docs, debugger, and target pages while building and testing extraction queries
  • Copying extracted data from AgentQL outputs back into spreadsheets, CRMs, or databases requires a manual step
  • No quick way to trigger an AgentQL extraction from inside a web page without writing a script or calling the API externally
  • Sharing AgentQL query results with non-technical teammates requires exporting and re-formatting data
  • Iterating on query design requires switching between the browser debugger and the code editor, slowing prototyping

Chat with AI to create your first custom workflow

Based on the data visible on this page, suggest an AgentQL natural language query that would reliably extract the key structured fields
Draft Extraction Query
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Take the raw extracted data shown on this page and reformat it as a clean table with labeled columns ready to paste into a spreadsheet
Format Extracted Data
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Analyze the HTML structure hints on this page and recommend whether to use a CSS selector, XPath, or natural language query for this element
Identify Selector Strategy
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Summarize the extracted data on this page into a brief report highlighting the most important patterns or outliers
Summarize Scrape Results
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I've extracted this data - format it as a structured payload and tell me how to route it to my data storage tool
Push Data to Tool
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The extraction on this page is returning incomplete results - analyze the visible data and suggest what the query might be missing
Debug Query
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Frequently Asked Questions

PixieBrix is designed for teams that want to move faster without heavy engineering effort. It is commonly used by support teams, operations teams, product teams, and technical teams who need to connect tools, reduce manual work, and ensure the right information reaches the right people at the right time.

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PixieBrix is a browser-based automation platform that lets you customize how the tools you already use work together. It allows teams to add context, automate workflows, and create guided experiences across apps like support tools, internal dashboards, and SaaS products without building or maintaining custom integrations.

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PixieBrix works by layering automation directly into the browser. It can read data from the page you are viewing, connect to APIs, and trigger actions like sending messages, filling forms, or enriching data in real time. This lets teams automate workflows exactly where work is already happening.

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2026 PixieBrix, Inc.