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Linkedin Posts Reactions Spider

Introduction

The Linkedin Posts Reactions Spider is a powerful tool designed to scrape LinkedIn posts and their associated reactions. It efficiently extracts detailed information such as post content, author details, reaction counts, and comments, providing valuable insights for various applications.

Features

• Comprehensive Data Extraction: Captures all relevant data from LinkedIn posts, including reactions and comments.
• Customizable Input Parameters: Allows users to specify URLs and set item limits for tailored scraping sessions.
• High-Quality Output: Delivers structured JSON output with detailed post information.
• Scalable Performance: Supports large-scale data extraction with adjustable item limits.
• User-Friendly Interface: Easy setup and execution through the Apify Store.

Input Parameters

Example Usage

Input JSON

{
"Urls":[
"https://www.linkedin.com/posts/sharonpeake_the-saying-its-not-what-you-know-but-who-activity-7254017063415910401-eC--?utm_source=share&utm_medium=guest_desktop&utm_content=keyword-landing-page&utm_campaign=copy"
],
"item_limit":10
}

Output JSON

[
{
"url":"https://www.linkedin.com/posts/sharonpeake_the-saying-its-not-what-you-know-but-who-activity-7254017063415910401-eC--?utm_source=share&utm_medium=guest_desktop&utm_content=keyword-landing-page&utm_campaign=copy",
"post_id":"https://www.linkedin.com/posts/sharonpeake_networking-genderequity-threebarriers-activity-7254017063415910401-pcqb",
"date_published":"2024-10-21T06:34:01.014Z",
"headline":"The saying \u201cIt\u2019s not what you know, but who you know\u201d still holds true for career progression...",
"content":"The saying \u201cIt\u2019s not what you know, but who you know\u201d still holds true for career progression...",
"author":{
"name":"Sharon Peake, CPsychol",
"url":"https://uk.linkedin.com/in/sharonpeake",
"image":"https://media.licdn.com/dms/image/v2/D4E03AQGRKSsIYUdmjw/profile-displayphoto-shrink_200_200/profile-displayphoto-shrink_200_200/0/1678826812279?e=2147483647&v=beta&t=klv4HfBifCVlcXkrBoO0vS7M0DTqCiC1HnqRm7voARc"
},
"image":"https://media.licdn.com/dms/image/v2/D4D22AQGp3EM1NyskDg/feedshare-shrink_800/feedshare-shrink_800/0/1729267020723?e=2147483647&v=beta&t=9VQk-rlosYkiVTZqBRkMQpBiLUEFKNo-uzbeSKIrARc",
"reactions":{
"like_count":15,
"comment_count":8
},
"comments":[
{
"author":"John Doe",
"date_published":"2024-10-21T08:00:00.000Z",
"text":"Great insights!",
"reactions":{
"like_count":2
}
}
],
"actor_id":"i8Vq02GYSTUBZQeEd",
"run_id":"EWP9bm92giwivjP7n"
}
]

Use Cases

• Market Research and Analysis: Gain insights into industry trends by analyzing LinkedIn posts.
• Competitive Intelligence: Monitor competitors' activities and strategies through their LinkedIn presence.
• Price Monitoring: Track pricing discussions and changes in specific industries.
• Content Aggregation: Collect valuable content for newsletters or reports.
• Academic Research: Use data for studies on social media influence and networking.
• Business Automation: Automate the collection of professional insights for strategic planning.

Installation and Usage

1. Search for "Linkedin Posts Reactions Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array containing objects with fields such as url, post_id, date_published, headline, content, author details, image, reactions, and comments. Each comment includes the author's name, publication date, text, and reaction count.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: Contact Us

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