IntegrationsMake.com Integration
Make.com – LinkedIn Posts
Configure Make.com modules for ConnectSafely LinkedIn post automation.
Collect and engage with LinkedIn content automatically. Each module mirrors the behavior found in the ConnectSafely app.
Get Latest Posts
| Field | Type | Required | Description |
|---|---|---|---|
| accountId | text | No | LinkedIn account ID (default account if blank). |
| profileId | text | No | LinkedIn profile ID. |
| count | number | No | Number of posts (1–20, default 1). |
| includeReposts | yes/no | No | Include reposts (default yes). |
Tips
- Combine with the Search Posts module to monitor multiple thought leaders.
- Store the
activityUrnfrom outputs for follow-up engagement actions. - Use loops to process multiple posts from the results.
- Set up scheduled scenarios to automatically fetch latest posts daily.
React to Post
| Field | Type | Required | Description |
|---|---|---|---|
| accountId | text | No | LinkedIn account ID. |
| postUrl | text | Yes | LinkedIn post URL. |
| reactionType | select | No | LIKE, PRAISE, APPRECIATION, EMPATHY, INTEREST, ENTERTAINMENT. |
Tips
- Randomize reactions using Make.com's random number generator to mimic natural behavior.
- Pair with "Get Latest Posts" for always-on engagement scenarios.
- Use filters to react only to posts matching certain criteria.
- Store reaction history in data stores to avoid duplicate reactions.
Comment on Post
| Field | Type | Required | Description |
|---|---|---|---|
| accountId | text | No | LinkedIn account ID. |
| postUrl | text | Yes | LinkedIn post URL. |
| comment | text | Yes | Comment text. |
Tips
- Keep comments authentic and value-driven to build genuine relationships.
- Use Make.com's text modules to personalize comments with author names.
- Store comment templates in data stores for consistent messaging.
- Combine with filters to comment only on relevant posts.
Get Post Comments
| Field | Type | Required | Description |
|---|---|---|---|
| accountId | text | No | LinkedIn account ID. |
| postUrl | text | Yes | LinkedIn post URL. |
| maxComments | number | No | Total comments to fetch (10–5000, default 1000). |
| batchSize | number | No | Batch size (10–100, default 50). |
Tips
- Enable sentiment analysis by piping results into AI modules like OpenAI.
- Fetch comments daily to keep CRM notes fresh and up-to-date.
- Use aggregators to process multiple comments efficiently.
- Store comment data in Google Sheets or Airtable for analysis.
Search Posts LinkedIn
| Field | Type | Required | Description |
|---|---|---|---|
| accountId | text | No | LinkedIn account ID. |
| keywords | text | Yes | Search keywords. |
| count | number | No | Number of posts (1–50, default 10). |
| start | number | No | Pagination offset (default 0). |
| datePosted | select | No | past-24h, past-week, past-month, any-time. |
| sortBy | select | No | relevance or date_posted. |
Tips
- Filter by recency to curate topical content for your audience.
- Use author job-title filters inside the API endpoint for hyper-targeting.
- Combine with loops to process multiple search results.
- Store search results in data stores for content curation workflows.
Scrape Post Content
| Field | Type | Required | Description |
|---|---|---|---|
| postUrl | text | Yes | Public LinkedIn post URL. |
Tips
- No authentication required—perfect for quick previews and public content analysis.
- Use to enrich CRM notes or to summarize post content with AI modules.
- Combine with webhooks to scrape posts from incoming URLs.
- Store scraped content in databases for content analysis and reporting.