Merge pull request #2387 from Kalivarapubindusree/l9

Linkedin posts scrapper added

Author: avinashkranjan

Linkedin_Posts_Scrapper/Linkedin_Posts_Scrapper.py

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+import requests
+
+def get_linkedin_posts(access_token):
+    url = 'https://api.linkedin.com/v2/shares?q=owners&owners=urn:li:person:YOUR_USER_ID&count=10'
+    headers = {'Authorization': f'Bearer {access_token}'}
+
+    response = requests.get(url, headers=headers)
+    data = response.json()
+
+    if response.status_code == 200:
+        posts = data.get('elements', [])
+        for post in posts:
+            post_text = post.get('text', '')
+            print(post_text)
+    else:
+        print(f"Error: {response.status_code} - {data.get('message', 'Unknown error')}")
+
+if __name__ == "__main__":
+    # Replace YOUR_ACCESS_TOKEN and YOUR_USER_ID with appropriate values
+    access_token = "YOUR_ACCESS_TOKEN"
+    get_linkedin_posts(access_token)

Linkedin_Posts_Scrapper/README.md

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+# LinkedIn Posts Scrapper
+
+It is an automated script to scrap LinkedIn Posts, and number of Reactions and Comments from the `` /detail/recent-activity/shares/ `` endpoint.
+
+# Installation
+
+* Make sure you have the following Python libraries:
+> pip3 install selenium pandas
+
+* Place `` CromeDriver.exe `` in the same directory of the script. You can download it from [here](https://sites.google.com/a/chromium.org/chromedriver/downloads) <br>
+(Note: Download the one with the same version of your Chrome browser.)
+
+# Usage
+
+> python scrapper.py -e \<email\> -p \<password\> -n \<number-of-posts-to-scrap\>
+
+# Output
+
+The script should output a `` Scrap.csv `` file containing the scrapped posts whose columns are in the following order: Heading, Reactions, Comments
+
+Note: If post has a 0 reaction or comment, the output will be substituted with None
+