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AI-Driven YouTube Data Fetcher

AI-Driven YouTube Data Fetcher is a 13-node automation blueprint connecting YouTube, OpenAI, LangChain. Inspect its trigger, execution graph, branches, and implementation requirements.

YouTubeOpenAILangChain

Interactive system map

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

13

Nodes

13

Links

2

Run groups

Connected tools

3 integrations

  • YouTube
  • OpenAI
  • LangChain

Canvas controls

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AI-Driven YouTube Data Fetcher execution lanes2 run groups containing 13 workflow nodes and 13 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.chat_message_received. trigger node, chatTrigger. 0 incoming and 1 outgoing connections.STARTchat_message_receivedTRIGGERCHATTRIGGER0 IN / 1 OUTAI Agent. ai node, agent. 4 incoming and 0 outgoing connections.OUTCOMEAI AgentAIAGENT4 IN / 0 OUTopenai_llm. OpenAI node, lmChatOpenAi. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1openai_llmOPENAILMCHATOPENAI0 IN / 1 OUTwindow_buffer_memory. ai node, memoryBufferWindow. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1window_buffer_memoryAIMEMORYBUFFERWINDOW0 IN / 1 OUTyoutube_search. ai node, toolWorkflow. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1youtube_searchAITOOLWORKFLOW0 IN / 1 OUTget_videos1. integration node, youTube. 0 incoming and 1 outgoing connections.STARTget_videos1INTEGRATIONYOUTUBE0 IN / 1 OUTloop_over_items1. integration node, splitInBatches. 3 incoming and 2 outgoing connections.STEP 02loop_over_items1INTEGRATIONSPLITINBATCHES3 IN / 2 OUTfind_video_data1. integration node, httpRequest. 1 incoming and 1 outgoing connections.STEP 03find_video_data1INTEGRATIONHTTPREQUEST1 IN / 1 OUTretrieve_data_from_memory1. transform node, code. 1 incoming and 1 outgoing connections.STEP 04retrieve_data_from_memory1TRANSFORMCODE1 IN / 1 OUTif_longer_than_3_. decision node, if. 1 incoming and 2 outgoing connections.STEP 05if_longer_than_3_DECISIONIF1 IN / 2 OUTresponse1. transform node, set. 1 incoming and 0 outgoing connections.STEP 06response1TRANSFORMSET1 IN / 0 OUTgroup_data1. transform node, set. 1 incoming and 1 outgoing connections.STEP 07group_data1TRANSFORMSET1 IN / 1 OUTsave_data_to_memory1. transform node, code. 1 incoming and 1 outgoing connections.OUTCOMEsave_data_to_memory1TRANSFORMCODE1 IN / 1 OUT

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Main-channel runtimeTyped dependencytriggeraidecisiontransformintegration
Scroll horizontally to follow every connected flow.13 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

chat_message_received

1 Execution Link3 Support Dependencies

  1. Start

    chat_message_received

    Trigger

  2. Outcome

    AI Agent

    AI reasoning

Attached dependencies

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

3 nodes

  • openai_llm

    AI reasoning dependency

  • window_buffer_memory

    AI reasoning dependency

  • youtube_search

    AI reasoning dependency

02

Run Group

get_videos1

9 Execution Links

  1. Start

    get_videos1

    Integration

  2. Step 2

    loop_over_items1

    Integration

  3. Step 3

    find_video_data1

    Integration

  4. Step 4

    retrieve_data_from_memory1

    Transform

  5. Step 5

    if_longer_than_3_

    Decision

  6. Step 6

    response1

    Transform

  7. Step 7

    group_data1

    Transform

  8. Outcome

    save_data_to_memory1

    Transform

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