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Phantombuster and Microsoft SharePoint integration
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How to connect Phantombuster and Microsoft SharePoint
- Step 1: Create a new workflow
- Step 2: Add and configure nodes
- Step 3: Connect
- Step 4: Customize and extend your integration
- Step 5: Test and activate your workflow
Step 1: Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Step 2: Add and configure Phantombuster and Microsoft SharePoint nodes
You can find Phantombuster and Microsoft SharePoint in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Phantombuster and Microsoft SharePoint nodes one by one: input data on the left, parameters in the middle, and output data on the right.
Step 3: Connect Phantombuster and Microsoft SharePoint
A connection establishes a link between Phantombuster and Microsoft SharePoint (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.
Step 4: Customize and extend your Phantombuster and Microsoft SharePoint integration
Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Phantombuster and Microsoft SharePoint with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.
Step 5: Test and activate your Phantombuster and Microsoft SharePoint workflow
Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Phantombuster to Microsoft SharePoint or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.
Popular Phantombuster and Microsoft SharePoint workflows
Scheduled Instagram Auto-Liker with Phantombuster, GPT-4o & Cookie Rotation
Who’s it for
Social-media managers and brands that want to keep their Instagram
accounts active by automatically liking fresh posts under selected
hashtags—hands-free and rate-limited.
How it works / What it does
Schedule Trigger runs every 2 hours at a specified minute.
Select Cookie chooses a rotating Instagram session-cookie
(time-slice logic).
Generate Random Hashtag (GPT-4o) outputs a realistic AI/BPA
hashtag.
Instagram Hashtag Agent (Phantombuster) scrapes up to
ENV_MAX_POSTS_PER_HASHTAG recent posts.
Get Random Post selects one; duplicate checker ensures it
hasn’t been liked before (SharePoint CSV).
Builds instagram_posts_to_like.csv, uploads to SharePoint, then
launches the Auto-like Agent which likes the post.
Post URL is appended to instagram_posts_already_liked.csv to avoid
duplicates.
Wait nodes throttle launches to ~12 likes per profile daily.
How to set up
Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API
key.
In SharePoint › “Phantombuster” folder create:
• instagram_session_cookies.txt – one cookie per line.
• instagram_posts_already_liked.csv with header postUrl.
Adjust Set ENV Variables to change max posts per scrape.
Activate the workflow; it will like one post every 2 hours.
Requirements
n8n 1.33 +
Phantombuster Growth plan (API access)
OpenAI account
Microsoft 365 SharePoint tenant
How to customize
Target a different niche: edit hashtag prompt in Generate Random Hashtag.
Like more posts: raise ENV_MAX_POSTS_PER_HASHTAG,
numberOfPostsPerLaunch, or schedule frequency.
Replace SharePoint with Drive/Dropbox by swapping storage nodes.
Auto-comment on Instagram posts with GPT-4o, Phantombuster, and SharePoint
Who’s it for
Social-media teams and influencers who want to grow engagement by
automatically posting short, relevant comments on new Instagram posts
under rotating hashtags—while staying under platform limits.
How it works / What it does
Schedule Trigger fires every 2 h at a specified minute.
Select Cookie chooses a rotating Instagram session-cookie by
time slice.
Generate Random Hashtag (GPT-4o) outputs a realistic AI/BPA tag.
Hashtag Agent (Phantombuster) scrapes up to
ENV_MAX_POSTS_PER_HASHTAG recent posts.
Get Random Post picks one; Create Comment (GPT-4o) crafts a
≤150-character reply in the chosen language.
Builds instagram_post_to_comment.csv, uploads to SharePoint, then
launches the Auto-comment Agent which posts the reply.
Post URL is logged to instagram_posts_already_commented.csv
to avoid duplicates.
Wait nodes throttle launches to ≈80 comments/day.
How to set up
Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key.
In SharePoint › “Phantombuster” folder create:
• instagram_session_cookies.txt – one cookie per line.
• instagram_posts_already_commented.csv with header postUrl.
Edit Set ENV Variables to set default language, prompt, and max
posts per scrape.
Activate the workflow; it will comment every 2 h.
Requirements
n8n 1.33 +
Phantombuster Growth plan (API access)
OpenAI account (GPT-4o)
Microsoft 365 SharePoint tenant
How to customize
Change tone/length: tweak prompt in Create Comment.
Comment more often: raise ENV_MAX_POSTS_PER_HASHTAG,
adjust cron, and agent limits.
Swap SharePoint for Drive/Dropbox by replacing storage nodes.
Auto-follow Instagram profiles via Phantombuster and SharePoint
Who’s it for
Community managers, growth hackers, and brands that want to grow their
Instagram audience by automatically following new, relevant profiles—
while respecting daily limits.
How it works / What it does
Schedule Trigger runs hourly at a specified minute.
Select Cookie chooses a rotating Instagram session-cookie (time-slice logic).
Get List of Accounts downloads a CSV of seed profiles from SharePoint.
Follower Collector Agent (Phantombuster) fetches each seed
profile’s followers (limit set by ENV_AMOUNT_FOLLOWERS_PER_PROFILE).
Autofollow Agent follows up to ENV_PROFILES_TO_PROCESS of those
followers per launch.
Wait nodes pause between Phantombuster calls and poll until each
run is complete.
Rate-limit configuration keeps follows between 1 and 40 per hour.
How to set up
Add credentials: Phantombuster API, SharePoint OAuth2, (optional) OpenAI API key if you later add AI.
In SharePoint › “Phantombuster” folder add:
• instagram_session_cookies.txt – one cookie per line.
• accounts_to_follow.csv – header profileUrl, one seed profile per line.
Update Set ENV Variables to control profiles/launch and followers/profile.
Adjust schedule frequency or Wait durations to meet your plan limits.
Activate the workflow; it will follow new profiles every hour.
Requirements
n8n 1.33 +
Phantombuster Growth plan (API access)
Microsoft 365 SharePoint tenant
How to customize
Scrape hashtags instead of followers: replace the Follower Collector
agent with a Hashtag‐to‐Profiles agent.
Increase speed: raise ENV_PROFILES_TO_PROCESS and cron frequency
(ensure you stay within Instagram limits).
Swap SharePoint for Drive/Dropbox by replacing storage nodes.
Automatic LinkedIn Engagement with AI Comments using GPT-4o and Phantombuster
Who’s it for
B2B marketers, recruiters, and personal-brand builders who want to spark
conversations on LinkedIn by automatically posting short, relevant comments on
fresh industry content—while staying under daily limits.
How it works / What it does
Schedule Trigger fires every hour.
Select Cookie picks a rotating LinkedIn session-cookie (time-slice logic).
Generate Random Search Term (GPT-4o) outputs a realistic AI/BPA keyword.
LinkedIn Search Agent (Phantombuster) scrapes recent posts.
Get Random Post chooses one post and passes its text to Create Comment
(GPT-4o) which returns a ≤150-character reply in the chosen language.
Builds linkedin_posts_to_comment.csv, uploads to SharePoint, and launches
the Auto-comment Agent to post the reply.
Post URL is logged to linkedin_posts_already_commented.csv to avoid
duplicates.
Wait nodes throttle launches to ~120 comments/day.
How to set up
Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key.
In SharePoint › “Phantombuster” folder create:
• linkedin_session_cookies.txt – one cookie per line.
• linkedin_posts_already_commented.csv with header postUrl.
Edit Set ENV Variables to set default language, comment prompt,
company ID, etc.
Adjust schedule or comments-per-launch as needed.
Activate the workflow; it will run hourly and comment on one new post each
launch.
Requirements
n8n 1.33 +
Phantombuster Growth plan (API access)
OpenAI account
Microsoft 365 SharePoint tenant
How to customize
Change tone/length: edit the prompt in Create Comment.
Comment more often: raise numberOfLinesPerLaunch and schedule frequency.
Use Google Drive/Dropbox instead of SharePoint by swapping storage nodes.
Auto-like Tweets from Selected Profiles with Phantombuster & SharePoint AI Rotation
Who’s it for
Growth hackers, community builders, and marketers who want to keep their Twitter (X) accounts active by liking posts from selected profiles automatically.
How it works / What it does
Schedule Trigger fires hourly.
Profile Post Extractor fetches up to 20 tweets for each profile in your CSV.
Select Cookie rotates Twitter session-cookies.
Get Random Post checks against twitter_posts_already_liked.csv.
Builds twitter_posts_to_like.csv, uploads to SharePoint.
Phantombuster Autolike Agent likes the tweet.
Logs the liked URL to avoid duplicates.
How to set up
Add Phantombuster + SharePoint credentials.
In SharePoint “Phantombuster” folder:
• twitter_session_cookies.txt
• twitter_posts_already_liked.csv (header postUrl)
• profiles_twitter.csv (list of profiles).
Profile CSV format
Your profiles_twitter.csv must contain a header profileUrl and direct links to the Twitter profiles. Example:
profileUrl
https://twitter.com/elonmusk
https://twitter.com/openai
Automated Instagram Commenting on Selected Profiles with GPT-4o and Phantombuster
Who’s it for
Influencers and social-media teams who want to comment automatically on posts from selected Instagram profiles—scaling engagement while staying within platform limits.
How it works / What it does
Schedule Trigger runs every 2 h.
Profile Post Extractor fetches up to 20 posts per profile from your CSV.
Select Cookie rotates Instagram session-cookies.
Get Random Post selects one.
Create Comment (GPT-4o) writes ≤150-character reply in your chosen language.
Builds instagram_post_to_comment.csv, uploads to SharePoint.
Phantombuster Autocomment Agent posts it.
Logged in instagram_posts_already_commented.csv to prevent repeats.
How to set up
Same as the auto-liker, but also add instagram_posts_already_commented.csv (header postUrl).
Define tracked profiles in profiles_instagram.csv.
Configure comment prompt & language in Set ENV Variables.
Profile CSV format
Your profiles_instagram.csv must contain a header profileUrl and valid Instagram profile URLs. Example:
profileUrl
https://www.instagram.com/brand_account/
https://www.instagram.com/influencer123/
Load More Workflows
Build your own Phantombuster and Microsoft SharePoint integration
Create custom Phantombuster and Microsoft SharePoint workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Phantombuster and Microsoft SharePoint integration details
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