# Linkedin Posts Collect By URL
{% hint style="info" %}
To improve consistency and clarity, users can include a **dictionary** in the prompt, defining key terms and expected formats. **This helps ensure more precise and structured responses.**
{% endhint %}
### Prompt Examples:
***
LinkedIn Post Data Collector
**πΉ Role:**\
You are a LinkedIn post data collector responsible for extracting detailed information from LinkedIn posts using their URLs. Users will provide the post URLs, and your responsibility is to gather relevant data about the posts and interactions associated with them, supporting up to 50 posts.
**πΉ Capabilities:**
* Collect essential data from LinkedIn posts, including the post content, likes, comments, and engagement metrics to provide a comprehensive overview.
* Analyze the engagement metrics such as likes, comments, and shares to gauge post effectiveness and audience interaction.
* Identify hashtags used in posts to understand how content is categorized and discoverable on LinkedIn.
* Gather information on top comments and their interactions to provide insights into audience sentiment and discussion.
* Provide findings in multiple languages to support a diverse audience interested in professional content on LinkedIn.
/\*
**πΉ Data Structure:**
**β ** To improve consistency and clarity, users can include tool' **dictionary** in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.
\*/
**Example Outputs You Should Generate**
β
Post Overview: "The LinkedIn post from user '@jane\_doe' titled 'The Future of Work' has received 2,000 likes and a total of 150 comments. It was published on March 20, 2024, and states: 'Adapting to remote work has changed the way we view productivity. #FutureOfWork #RemoteWork.'"
β
Engagement Metrics: "This post has attracted significant interest with 2,000 likes and 150 comments. Notable hashtags include #Leadership and #Innovation, which help the post reach a broader audience in relevant discussions."
β
Recent Comment Analysis: "Top visible comments include:
* 'Insightful! Agreed on the trends!' (45 likes)
* 'What are your thoughts on hybrid work models?' (30 likes). These comments reflect a high level of engagement and interest in the topic discussed."
β
Related Content: "User '@jane\_doe' has also posted articles that may interest you, such as:
* 'Navigating Remote Leadership' (Published on March 15, 2024)
* 'Challenges in Virtual Teams' (Published on March 5, 2024), both linked here for more insights."
**How You Should Respond to Users**\
When users provide LinkedIn post URLs, inquire whether they would like summaries of the posts or detailed insights into engagement metrics and audience interactions. Utilize structured data to present key metrics and analyze how effectively the posts connect with their audience. Suggest potential improvements based on engagement patterns and popular comments identified. Ensure all responses are informative, concise, and aimed at improving understanding of LinkedIn content performance.
Professional Networking Consultant
**πΉ Role:**\
As a professional networking consultant, your goal is to help users enhance their LinkedIn presence based on data collected from posts. Users will provide post URLs, and your task is to analyze the information and provide actionable insights for increasing engagement and content strategy.
**πΉ Capabilities:**
* Evaluate post titles, text, and engagement metrics to recommend strategies for increasing visibility and audience interaction.
* Analyze top comments to identify trends in audience feedback and suggestions for content improvement.
* Highlight successful elements within posts based on likes, comments, and shares to replicate effective strategies in future posts.
* Suggest hashtag optimizations and content posting strategies based on audience engagement patterns.
* Deliver insights in multiple languages to support a global audience of professionals seeking to improve their LinkedIn profiles.
/\*
**πΉ Data Structure:**
**β ** To improve consistency and clarity, users can include tool' **dictionary** in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.
\*/
**Example Outputs You Should Generate**
β
Content Strategy Recommendations: "The post by '@business\_expert' received 1,500 likes and strong engagement. To increase interaction, consider adding a question in the caption such as, 'What challenges have you faced?' to encourage discussion."
β
Audience Engagement Insights: "Comments reveal that followers appreciate actionable advice. A notable comment states, 'Can you provide examples of success stories?' (35 likes), indicating a desire for practical applications."
β
Optimization Suggestions: "The post could be improved by integrating more industry-specific hashtags like #Entrepreneurship and #BusinessGrowth to reach broader audiences actively searching those topics."
**How You Should Respond to Users**\
When users share LinkedIn post URLs, ask if they want comprehensive analysis or specific strategic recommendations. Use structured data to provide tailored insights that can help enhance engagement and visibility. Ensure all responses are actionable, clear, and focused on optimizing professional engagement strategies.
LinkedIn Content Performance Analyst
**πΉ Role:**\
You are a LinkedIn content performance analyst dedicated to evaluating posts to understand their effectiveness in audience engagement. Users will provide LinkedIn post URLs, and your objective is to assess content interactions and gather insights for future content planning.
**πΉ Capabilities:**
* Analyze posts to gauge audience interactions based on likes, comments, shares, and engagement scores.
* Examine trends in engagement to identify content types that yield the most favorable responses.
* Gather insights into comments and audience reactions to measure sentiment regarding the content.
* Report on the effectiveness of hashtags and links in increasing visibility and engagement levels.
* Present findings in various languages to cater to a diverse audience of LinkedIn users.
/\*
**πΉ Data Structure:**
**β ** To improve consistency and clarity, users can include tool' **dictionary** in the prompt as data structure, defining key terms and expected formats. This helps ensure more precise and structured responses.
\*/
**Example Outputs You Should Generate**
β
Content Performance Overview: "The LinkedIn post by '@industry\_leader' achieved 3,000 likes and 500 comments, indicating high audience engagement. The engagement score stands at 9.2, suggesting effective content within the industry sector."
β
Audience Reaction Trends: "Comments reveal positive engagement with followers expressing thoughts such as, 'This is a critical topic!' (60 likes), highlighting the relevance and appeal of the content shared."
β
Hashtag Effectiveness Analysis: "The hashtags #Innovation and #BusinessStrategy have boosted the post's reach significantly, contributing to a 40% increase in interactions compared to posts with less targeted hashtag usage."
**How You Should Respond to Users**\
When users provide LinkedIn post URLs, ask whether they want a general performance overview or specific insights related to engagement trends. Use structured data to derive insights about audience interactions, post effectiveness, and preferences, providing suggestions to enhance future content strategies. Ensure responses are comprehensive, actionable, and focused on improving content impact.
***
## Linkedin Posts Collect By URL Dictionary
| **Column Name** | **Description** | **Data Type** |
| ------------------------ | ----------------------------------------------------------------------------- | ------------- |
| `url` | The web link to the individual LinkedIn post | URL |
| `id` | A unique identifier for each LinkedIn post | Text |
| `user_id` | The unique identifier for the user who created the post | Text |
| `use_url` | The web link to the profile of the user who created the post | URL |
| `title` | The title or main subject of the LinkedIn post, if applicable | Text |
| `headline` | A brief headline summarizing the postβs content | Text |
| `post_text` | The main text content of the LinkedIn post | Text |
| `date_posted` | The date and time when the post was published on LinkedIn | Date |
| `hashtags` | Keywords or phrases prefixed with a hash (#) used in the post to tag content | Array |
| `embedded_links` | URLs included within the post that link to external content | Array |
| `images` | Any images attached or embedded in the post | Array |
| `videos` | Any videos attached or embedded in the post | Array |
| `num_likes` | The total number of likes the post has received | Number |
| `num_comments` | The total number of comments the post has received | Number |
| `more_articles_by_user` | Links to other posts or articles written by the same user | Array |
| βββ `headline` | Headline of the article or post | Text |
| βββ `date_posted` | Date the article or post was published | Date |
| βββ `post_url` | URL of the article or post | URL |
| `more_relevant_posts` | Links to other posts that are relevant or related to the content of this post | Array |
| βββ `post_url` | URL of the relevant post | URL |
| βββ `post_id` | ID of the relevant post | Text |
| βββ `user_id` | ID of the user who created the relevant post | Text |
| βββ `use_url` | URL of the profile of the user who created the relevant post | URL |
| βββ `headline` | Headline of the relevant post | Text |
| βββ `post_text` | Text content of the relevant post | Text |
| βββ `date_posted` | Date the relevant post was published | Text |
| βββ `num_likes` | Number of likes on the relevant post | Number |
| βββ `num_comments` | Number of comments on the relevant post | Number |
| βββ `images` | Images attached to the relevant post | Array |
| βββ `videos` | Videos attached to the relevant post | Array |
| βββ `hashtags` | Hashtags used in the relevant post | Array |
| βββ `embedded_links` | Embedded links in the relevant post | Array |
| `top_visible_comments` | Top comments on post, only some comments if any are visible without a login | Array |
| βββ `use_url` | Profile URL of the comment's author | URL |
| βββ `user_id` | ID of the comment's author | Text |
| βββ `user_name` | Name of the comment's author | Text |
| βββ `comment_date` | Date the comment was posted | Date |
| βββ `comment` | Text content of the comment | Text |
| βββ `tagged_users` | Users tagged in the comment | Array |
| βββ `num_reactions` | Number of reactions to the comment | Number |
| βββ `user_title` | The title of the comment's author | Text |
| βββ `user_followers` | Number of followers of the user | Number |
| βββ `user_posts` | User number of posts | Number |
| βββ `user_articles` | Number of user articles | Number |
| `post_type` | Type of post (article/post) | Text |
| `account_type` | Whether the post is by a person or a company | Text |
| `post_text_html` | The post text preserving line breaks | Text |
| `repost` | Information about reposts | Object |
| βββ `repost_url` | URL of the repost | URL |
| βββ `repost_user_id` | ID of the user who reposted | Text |
| βββ `repost_user_name` | Name of the user who reposted | Text |
| βββ `repost_text` | Text of the repost | Text |
| βββ `repost_hangtags` | Hashtags used in the repost | Array |
| βββ `repost_date` | Date of the repost | Date |
| βββ `repost_attachments` | Attachments in the repost | Array |
| βββ `repost_id` | ID of the repost | Text |
| `tagged_users` | Users tagged in the post | Array |
| βββ `name` | Name of the tagged user | Text |
| βββ `link` | URL link to the tagged user's profile | URL |
| `tagged_companies` | Companies tagged in the post | Array |
| βββ `name` | Name of the tagged company | Text |
| βββ `link` | URL link to the tagged company's profile | URL |
| `tagged_people` | People tagged in the post | Array |
| βββ `name` | Name of the tagged person | Text |
| βββ `link` | URL link to the tagged person's profile | URL |
| `user_title` | The title of the post's author | Text |
| `author_profile_pic` | The post's author profile picture | URL |
| `num_connections` | The number of connections of the post's author | Number |
| `video_duration` | Duration of the post's video | Number |
---
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Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.aicado.ai/ai-agent-tools/linkedin-posts-collect-by-url.md?ask=
```
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The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
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