Skip to Workflow Atlas
ETL PipelineAI systemIntermediate

SERP Data Extraction with AI Summarization

SERP Data Extraction with AI Summarization is a 10-node automation blueprint connecting Google Palm API, Google Search API, Langchain AI models. Inspect its trigger, execution graph, branches, and implementation requirements.

Interactive system map

Follow the runtime. Inspect what supports it.

Solid horizontal paths show main-channel execution. Violet dependencies sit beneath the exact step they configure or empower.

10

Nodes

9

Links

1

Run groups

Connected tools

3 integrations

  • Google AI
  • Google Search API
  • LangChain

Canvas controls

Fit wide systems, then zoom into any run group.

SERP Data Extraction with AI Summarization execution lanes1 run groups containing 10 workflow nodes and 9 visible links. Solid horizontal lines are main-channel runtime links. Violet dashed lines connect typed dependencies beneath the runtime step they support. Focus any node to inspect its immediate path.When clicking ‘Test workflow’. trigger node, manualTrigger. 0 incoming and 1 outgoing connections.STARTWhen clicking ‘Test workf…TRIGGERMANUALTRIGGER0 IN / 1 OUTSet Google Search Query. transform node, set. 1 incoming and 1 outgoing connections.STEP 02Set Google Search QueryTRANSFORMSET1 IN / 1 OUTPerform Google Search Request. integration node, httpRequest. 1 incoming and 1 outgoing connections.STEP 03Perform Google Search Req…INTEGRATIONHTTPREQUEST1 IN / 1 OUTGoogle Search Data Extractor. ai node, informationExtractor. 2 incoming and 1 outgoing connections.STEP 04Google Search Data Extrac…AIINFORMATIONEXTRACTOR2 IN / 1 OUTSummarization Chain. ai node, chainSummarization. 2 incoming and 1 outgoing connections.STEP 05Summarization ChainAICHAINSUMMARIZATION2 IN / 1 OUTGoogle Search Expert AI Agent. ai node, agent. 3 incoming and 0 outgoing connections.OUTCOMEGoogle Search Expert AI A…AIAGENT3 IN / 0 OUTGoogle Gemini Chat Model. Google AI node, lmChatGoogleGemini. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Google Gemini Chat ModelGOOGLE AILMCHATGOOGLEGEMINI0 IN / 1 OUTGoogle Gemini Chat Model For Summarization. Google AI node, lmChatGoogleGemini. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Google Gemini Chat Model …GOOGLE AILMCHATGOOGLEGEMINI0 IN / 1 OUTGoogle Gemini Chat Model1. Google AI node, lmChatGoogleGemini. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Google Gemini Chat Model1GOOGLE AILMCHATGOOGLEGEMINI0 IN / 1 OUTWebhook HTTP Request. ai node, toolHttpRequest. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Webhook HTTP RequestAITOOLHTTPREQUEST0 IN / 1 OUT

Signal inspector

Focus, hover, or select a step to isolate its runtime and support links.

Main-channel runtimeTyped dependencytriggeraidecisiontransformintegration
Scroll horizontally to follow every connected flow.10 connected nodesEnter or click to lock · Escape to clear

Runtime breakdown

Read the execution spine before its dependencies.

Each run group separates main-channel steps from the models, tools, retrievers, and data services that support them. Start and outcome labels apply only to runtime nodes.

01

Run Group

When clicking ‘Test workflow’

5 Execution Links4 Support Dependencies
  1. Start

    When clicking ‘Test workflow’

    Trigger

  2. Step 2

    Set Google Search Query

    Transform

  3. Step 3

    Perform Google Search Request

    Integration

  4. Step 4

    Google Search Data Extractor

    AI reasoning

  5. Step 5

    Summarization Chain

    AI reasoning

  6. Outcome

    Google Search Expert AI Agent

    AI reasoning

Attached dependencies

These nodes support the runtime above; they are not additional starts or outcomes.

4 nodes
  • Google Gemini Chat Model For Summarization

    AI reasoning dependency

  • Google Gemini Chat Model

    AI reasoning dependency

  • Google Gemini Chat Model1

    AI reasoning dependency

  • Webhook HTTP Request

    AI reasoning dependency

Turn the map into a plan

Adapt this blueprint to your company.

Bring the system shape into a workspace, then define the production controls, data boundaries, owners, and delivery sequence around your context.