> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bitscale.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Linkedin Posts and Activity Analysis
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## What this workflow does
This workflow helps you pull a person’s recent LinkedIn activity, then analyze it inside the grid.
You can use it to:
* fetch the most recent LinkedIn posts from a profile
* see exactly when someone was last active
* extract topics they talk about
## Step 1: Add the Recent Posts enrichment
1. Open your grid (with at least a **Name** and **LinkedIn URL** column)
2. Go to **Enrichments**
3. Search for **Recent posts**
4. Map it to the column that contains the LinkedIn URL
5. Save the enrichment
You can run this:
* for a single cell (quick testing)
* or for the full grid if you have a large list
## Step 2: Run the enrichment and inspect the results
After running, Bitscale returns the most recent posts for that profile.
For each post, you can get fields like:
* post text
* post link
* whether it is a repost or an original post
* posted at (timestamp)
* posted ago (relative time like “2 hours ago”)
* social counts (engagement metrics)
## Step 3: Turn any result field into a column
When you open the enrichment result, you can make any field visible in the grid.
1. Hover over the field you want
2. Click **Add as column**
3. Bitscale creates a new column and fills it automatically
Common columns to add:
* **Post text** (so you can read it easily)
* **Posted ago** (quick freshness signal)
* **Posted at** (exact date and time)
Note: `posted ago` is relative to when you ran the enrichment.\
If you want the exact date, use `posted at`.
## Step 4: Analyze activity using an AI column
Once you have the raw post data, you can analyze it with an AI column.
### Example 1: Has this person posted in the last 30 days?
1. Add an AI model column
* you can use OpenAI, Gemini, or your own model
2. Write a simple prompt
3. Pass columns into the prompt using `@`
* this lets you reference values from the grid directly
Example intent:
* give the model the posted date
* ask if the activity happened in the last 30 days
If you want a clean, structured answer, set an output format like:
* `posted_in_last_30_days`: true/false
You can use **Use AI** to auto-suggest the output structure based on your prompt.
When you run it, you get a simple boolean signal you can filter on.
### Example 2: What topics does this person talk about?
1. Pass the **recent posts text** column as input (using `@`)
2. Ask the model to list the main topics discussed across posts
3. Run it
Now you have topic tags you can use for:
* personalization
* segmentation
* routing the lead to the right rep
* deciding the best outreach angle
## Common use cases
* prioritize leads who have been active recently
* personalize outbound using what the person just posted about
* build simple “activity signals” you can filter and route
* generate talk tracks based on recurring post themes
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## Need help?
If you want help setting up the enrichment, building the prompts, or creating structured outputs, reach out on the support channel.