Latenode
Microsoft SharePoint Online
Phantombuster

Automatically like Instagram posts, sync data to SharePoint

This automated workflow helps social media managers, growth hackers, and brands keep their Instagram accounts active by automatically liking posts from specified Instagram profiles using Phantombuster.

It retrieves recent posts, checks for duplicates, and then uses Phantombuster to like the selected posts, saving the interaction data or profile details into a SharePoint list. The workflow is triggered on a schedule, rotates through Instagram session cookies, and integrates with Phantombuster and Microsoft SharePoint to enable this hands-off Instagram engagement strategy.

Updated Apr 2, 2026Est. run: 17sEst. cost: $0.0011
How Latenode estimates time and cost

Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.

Full pricing — how credits work →
Social media

Workflow preview

What this template does

  • Retrieves recent posts from specified Instagram profiles
  • Deduplicates posts to avoid liking the same content twice
  • Uses Phantombuster to automatically like the selected posts
  • Saves interaction data or profile details into a SharePoint list
  • Rotates through Instagram session cookies to maintain activity

How it works

1
Trigger

Schedule Trigger

The workflow is triggered on a schedule, running every 2 hours to automatically like posts from specified Instagram profiles.

2
Action

Get Available Session Cookies

The workflow retrieves the latest Instagram session cookies from a Microsoft SharePoint Online list, which stores the cookies for rotation.

3
Logic

Select Cookie

The workflow rotates through the available session cookies, selecting one based on the current time to ensure each cookie is used in turn.

4
Action

Set ENV Variables

The selected session cookie is stored as an environment variable, making it available for use by the Phantombuster agent.

5
Action

Get Profile Extractor Agent

The workflow retrieves the Phantombuster agent responsible for extracting recent posts from the specified Instagram profiles.

6
Action

Launch Agent

The Phantombuster agent is run to fetch the recent posts from the specified Instagram profiles.

7
Logic

Prepare Posts

The workflow extracts the URLs of the recent posts from the Phantombuster data.

8
Logic

Check if in List

The workflow compares the extracted post URLs against a list of previously liked posts stored in a Microsoft SharePoint Online list, to avoid liking the same posts repeatedly.

Setup guide

1

Add Phantombuster Credential

Add your Phantombuster API credential in the Latenode Credentials panel.

2

Add Microsoft SharePoint Credential

Add your Microsoft SharePoint Online OAuth2 credential in the Latenode Credentials panel.

3

Configure Instagram Profiles

In the Latenode visual builder, add a JavaScript node to read the list of Instagram profiles to monitor from the SharePoint CSV file. Map the profile names or URLs to the node output.

4

Handle Instagram Session Cookies

Add a headless-browser node to the workflow to handle Instagram session cookies. Configure the node to fetch the latest session cookies from the SharePoint file and rotate through them during execution.

5

Configure Phantombuster Agents

In the Latenode visual builder, add Code nodes to fetch the details of the Phantombuster agents for post extraction and auto-liking. Map the agent IDs and necessary parameters to the node outputs.

Requirements

Add Instagram account(s) to Phantombuster with valid session cookies
Grant Phantombuster access to like posts on the specified Instagram profile(s)
Create a SharePoint Online site and list to store the Instagram post interaction data or profile details
Add Phantombuster and SharePoint Online integration credentials to the Latenode workspace

FAQ

Common questions about this template

Each run uses credits on your Latenode plan. We charge for processing time (1 credit = 30 seconds). Your actual cost depends on your plan and how long the run takes. See pricing plans for plans and how credits work.
Contact support →

More templates

You might also like

Browse all templates →
Social media

Automate and schedule recurring Instagram post liking

This automated workflow allows Instagram users to schedule recurring post liking on a 2-hourly schedule. It uses Phantombuster to scrape recent posts under AI-generated hashtags, GPT-4o for intelligent hashtag selection, and a rotating set of Instagram session cookies to distribute likes across multiple accounts while staying within platform limits. The workflow uploads the posts to be liked to a SharePoint repository, then triggers the Phantombuster 'Auto-like Agent' to interact with the selected content. This streamlined approach helps Instagram users boost engagement and growth on their accounts without manual effort.

28s$0.0018
Social media

Streamline cold calling with automated prospect scraping, AI scripts, and WhatsApp outreach

This workflow automates the entire cold calling pipeline, from prospect identification and research to personalized message creation and delivery. It leverages Apify for web scraping, GPT-4o for intelligent content generation, and WhatsApp integration for automated outreach, transforming raw prospect data into high-converting, personalized cold calling campaigns. The workflow can be triggered manually or via a Google Drive Trigger, and it stores prospect data in a Supabase vector database, processes the data using OpenAI's language models, and sends the personalized messages through the WhatsApp Business API. This solution aims to help sales teams streamline their cold calling efforts, increase reach and response rates, and improve message effectiveness through continuous AI-powered optimization.

22s$0.0014
Social media

Automatically sync LinkedIn Ads lead data to Google Sheets

This automation enables users to seamlessly capture new lead generation form responses from LinkedIn Ads and automatically add them as rows in a designated Google Sheets spreadsheet. This helps consolidate and centralize all LinkedIn Ads lead data in one organized location for further analysis and processing. The automation triggers whenever a new lead form response is received from LinkedIn Ads, and it then creates a new row in the connected Google Sheets spreadsheet, ensuring that users have a comprehensive view of their lead data. This integration streamlines the lead management workflow, saving users time and effort by automating the data transfer process between LinkedIn Ads and Google Sheets.

8s$0.0005