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sources/platform/integrations/workflows-and-notifications/gumloop/instagram.md

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@@ -18,11 +18,7 @@ Using the Gumloop Instagram MCP node, you can prompt the Instagram data you need
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You can pull the following types of data from public Instagram accounts using Gumloop’s Instagram node (via Apify). Each action has a credit cost.
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Prerequisites:
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- A Gumloop account.
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| Tool/ Action | Description | Credit Cost |
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| Tool/Action | Description | Credit Cost |
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| :---- | :---- | :---- |
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| Get profile posts | Fetch posts from a public Instagram profile, including captions, images, like and comment counts, and metadata. | 3 credits per item |
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| Get post comments | Retrieve all comments on a specific post, with author info, timestamps, and like counts. | 3 credits per item |
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## Retrieve Instagram data in Gumloop
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1. Add the Gumloop Instagram MCP node
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1. _Add the Gumloop Instagram MCP node_
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First, add the Instagram node from the node library to your workflow canvas.
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![Instagram MCP node on canvas](images/instagram/mcp-node-image.jpeg)
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1. Prompt the data you need.
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1. _Prompt the data you need._
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In the node's configuration panel, write a clear, specific prompt that describes the data you want to retrieve.
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![Instagram node prompt field](images/instagram/prompt.jpeg)
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:::tip Prompting tips
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- MCP nodes only have access to the tools listed so your prompt should be scoped to Instagram.
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- MCP nodes only have access to the tools listed so your prompt should be scoped to Instagram.
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- You can mix and match different tools (get 10 latest videos for a hashtag and retrieve profile data for each post).
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:::
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1. Define the inputs and outputs
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1. _Define the inputs and outputs_
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Once you’ve entered your prompt, you will go through the AI assisted node creation process starting with defining inputs, parameters and outputs of your Instagram node.
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Gummie (Gumloop’s AI assistant) will suggest inputs (information coming from previous steps, ie hashtag to scrape), parameters (user defined choices, ie number of posts to retrieve) and outputs (information used in future steps, ie number of followers of users and list of recent videos).
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![Suggested inputs, parameters, outputs](images/instagram/input-outputs.jpeg)
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1. Generate and test the node
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1. _Generate and test the node_
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With inputs, parameters and outputs defined, Gummie will generate the code to retrieve the data from the Apify Instagram node. There is no requirement for you to review or understand the code, Gummie takes care of it.
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sources/platform/integrations/workflows-and-notifications/gumloop/maps.md

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---
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title: Gumloop - Google maps Actor integration
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description: Learn about Google Maps scraper modules. Extract place details, reviews, and search results.
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sidebar_label: Google maps
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sidebar_label: Google Maps
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sidebar_position: 2
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slug: /integrations/gumloop/maps
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---
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The Gumloop Google Maps integration provides a native interface for running Apify’s Google Maps scrapers directly in your workflows—no API keys or manual polling required. All you need is a Gumloop account.
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The Gumloop Google Maps integration provides a native interface for running Apify’s Google Maps scrapers directly in your workflows. No API keys or manual polling required. All you need is a Gumloop account.
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Using the Gumloop Google Maps MCP node, you can simply prompt the location data you need and Gumloop will retrieve it from relevant Apify actors. From there, you can connect it to your favorite tools and AI agents to process the information.
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## Available actions
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You can pull the following types of place data from Google Maps using Gumloop’s Google Maps node (via Apify). Each action has a credit cost.
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Prerequisites:
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- A Gumloop account.
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| Tool/ Action | Description | Credit Cost |
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| Tool/Action | Description | Credit Cost |
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| :---- | :---- | :---- |
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| Search places | Search for places on Google Maps using location and search terms. | 3 credits per item |
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| Get place details | Retrieve detailed information about a specific place using its URL or place ID. | 5 credits per item |
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## Retrieve Google Maps data in Gumloop
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1. Add the Gumloop Google Maps MCP node.
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1. _Add the Gumloop Google Maps MCP node._
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First, add the Google Maps node from the node library to your workflow canvas.
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![Google Maps MCP node in Node Library](images/maps/mcp-node-image.jpeg)
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1. Prompt the data you need
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1. _Prompt the data you need_
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In the node's configuration panel, write a clear, specific prompt that describes the data you want to retrieve.
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:::
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1. Define inputs/outputs
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1. _Define inputs/outputs_
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Once you’ve entered your prompt, you will go through the AI assisted node creation process starting with defining inputs, parameters and outputs of your Google Maps node.
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Gummie (Gumloop’s AI assistant) will suggest inputs (information coming from previous steps, ie location, keyword, category), parameters (user defined choices, ie number of results or radius) and outputs (information used in future steps, ie business name, review count, ratings).
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![Suggested inputs, parameters, outputs](images/maps/input-outputs.jpeg)
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1. Generate and test the node
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1. _Generate and test the node_
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With inputs, parameters and outputs defined, Gummie will generate the code to retrieve the data from the Apify Google Maps node. There is no requirement for you to review or understand the code, Gummie takes care of it.
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sources/platform/integrations/workflows-and-notifications/gumloop/tiktok.md

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The Gumloop TikTok integration provides a native interface for running Apify’s TikTok scrapers directly in your workflows—no API tokens or manual polling required. All you need is a Gumloop account.
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The Gumloop TikTok integration provides a native interface for running Apify’s TikTok scrapers directly in your workflows. No API tokens or manual polling required. All you need is a Gumloop account.
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Using the Gumloop TikTok MCP node, you can simply prompt the TikTok data you need and Gumloop will retrieve it from relevant Apify actors. From there, you can connect it to your favorite tools and AI agents to process the information.
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## Available actions
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You can pull the following types of data from TikTok using Gumloop’s TikTok node (via Apify). Each action has a credits cost.
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Prerequisites:
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- A Gumloop account.
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| Tool/ Action | Description | Credit Cost |
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| Tool/Action | Description | Credit Cost |
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| :---- | :---- | :---- |
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| Get hashtag videos | Fetch videos from TikTok hashtags with captions, engagement metrics, play counts, and author information. | 3 credits per item |
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| Get profile videos | Get videos from TikTok user profiles with video metadata, engagement stats, music info, and timestamps. | 3 credits per item |
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## Retrieve Tiktok Data in Gumloop
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1. Add the Gumloop TikTok MCP node
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1. _Add the Gumloop TikTok MCP node_
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First, add the TikTok node from the node library to your workflow canvas.
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![TikTok MCP node on canvas](images/tiktok/mcp-node-image.jpeg)
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1. Prompt the data you need
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1. _Prompt the data you need_
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In the node's configuration panel, write a clear, specific prompt that describes the data you want to retrieve.
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:::
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1. Define inputs/outputs
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1. _Define inputs/outputs_
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Once you’ve entered your prompt, you will go through the AI assisted node creation process starting with defining inputs, parameters and outputs of your TikTok node.
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Gummie (Gumloop’s AI assistant) will suggest inputs (information coming from previous steps, ie search keyword, video URL), parameters (user defined choices, number of videos to retrieve) and outputs (information used in future steps, ie follower count, video engagement, music info).
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![Suggested inputs, parameters, outputs](images/tiktok/input-output.jpeg)
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1. _Generate and test the node_
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With inputs, parameters and outputs defined, Gummie will generate the code to retrieve the data from the Apify TikTok node. There is no requirement for you to review or understand the code, Gummie takes care of it.
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sources/platform/integrations/workflows-and-notifications/gumloop/youtube.md

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The Gumloop YouTube integration provides a native interface for running Apify’s YouTube scrapers directly in your workflows—no API keys or manual polling required. All you need is a Gumloop account.
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The Gumloop YouTube integration provides a native interface for running Apify’s YouTube scrapers directly in your workflows. No API keys or manual polling required. All you need is a Gumloop account.
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Using the Gumloop YouTube MCP node, you can simply prompt the YouTube data you need and Gumloop will retrieve it from relevant Apify actors. From there, you can connect it to your favorite tools and AI agents to process the information.
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## Available actions
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You can pull the following types of data from YouTube using Gumloop’s YouTube node (via Apify). Each action has a credit cost:
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Prerequisites:
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- A Gumloop account.
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| Tool/ Action | Description | Credit Cost |
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| Tool/Action | Description | Credit Cost |
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| :---- | :---- | :---- |
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| Search videos | Search YouTube by keywords and get video results with filtering, metadata, and content info. | 3 credit per item |
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| Get video details | Retrieve detailed stats and content info for specific videos via URL or ID. | 4 credit per item |
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## Retrieve YouTube data in Gumloop
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1. Add the Gumloop YouTube MCP node
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1. _Add the Gumloop YouTube MCP node_
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First, add the YouTube node from the node library to your workflow canvas.
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![YouTube MCP node in Node Library](images/youtube/mcp-node-image.jpeg)
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1. Prompt the data you need
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1. _Prompt the data you need_
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In the node's configuration panel, write a clear, specific prompt that describes the data you want to retrieve.
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:::
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1. Define the inputs and outputs
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1. _Define the inputs and outputs_
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Once you’ve entered your prompt, you will go through the AI assisted node creation process starting with defining inputs, parameters and outputs of your YouTube node.
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Gummie (Gumloop’s AI assistant) will suggest inputs (information coming from previous steps, ie search terms, video URLs), parameters (user defined choices, ie number of videos to retrieve) and outputs (information used in future steps, title, view count, channel name).
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![Suggested inputs, parameters, outputs](images/youtube/input-outputs.jpeg)
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1. Generate and test the node
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1. _Generate and test the node_
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With inputs, parameters and outputs defined, Gummie will generate the code to retrieve the data from the Apify YouTube node. There is no requirement for you to review or understand the code, Gummie takes care of it.
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