Merge pull request #2373 from jupyter-naas/2372-linkedin-get-stats-fr…

…om-post-error-retrieve-repost fix: 2372 linkedin get stats from post error retrieve repost
jupyter-naas · Nov 13, 2023 · 6e37ec5 · 6e37ec5
2 parents 23911f3 + 61682cc
commit 6e37ec5
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diff --git a/.github/assets/logos/Google Analytics.png b/.github/assets/logos/Google Analytics.png
diff --git a/LinkedIn/LinkedIn_Generate_leads_from_posts.ipynb b/LinkedIn/LinkedIn_Generate_leads_from_posts.ipynb
@@ -60,7 +60,7 @@
     "tags": []
    },
    "source": [
-    "**Last update:** 2023-05-29 (Created: 2022-01-09)"
+    "**Last update:** 2022-01-09 (Created: 2022-01-09)"
    ]
   },
   {
@@ -808,4 +808,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/...dIn/LinkedIn_Get_comments_from_post.ipynb → ...LinkedIn_Get_post_comments_profiles.ipynb b/...dIn/LinkedIn_Get_comments_from_post.ipynb → ...LinkedIn_Get_post_comments_profiles.ipynb
@@ -26,7 +26,7 @@
     "tags": []
    },
    "source": [
-    "# LinkedIn - Get comments from post\n",
+    "# LinkedIn - Get post comments profiles\n",
     "<a href=\"https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_comments_from_post.ipynb\" target=\"_parent\"><img src=\"https://naasai-public.s3.eu-west-3.amazonaws.com/Open_in_Naas_Lab.svg\"/></a><br><br><a href=\"https://bit.ly/3JyWIk6\">Give Feedback</a> | <a href=\"https://github.com/jupyter-naas/awesome-notebooks/issues/new?assignees=&labels=bug&template=bug_report.md&title=LinkedIn+-+Get+comments+from+post:+Error+short+description\">Bug report</a>"
    ]
   },
@@ -60,7 +60,7 @@
     "tags": []
    },
    "source": [
-    "**Last update:** 2023-08-26 (Created: 2021-06-17)"
+    "**Last update:** 2023-11-13 (Created: 2021-06-17)"
    ]
   },
   {
@@ -73,9 +73,7 @@
     ]
    },
    "source": [
-    "**Description:** \"This notebook is designed to extract comments from a specific LinkedIn post and organize the data into a structured format. It generates a DataFrame with various details about each comment and the user who posted it.\n",
-    "\n",
-    "The DataFrame includes the following columns:\n",
+    "**Description:** This notebook is designed to extract comments and information about the profiles of people who have commented a specific post on LinkedIn. The data returned is structured in a DataFrame that includes the following columns:\n",
     "\n",
     "- `PROFILE_ID`: The unique identifier associated with the LinkedIn profile of the user who posted the comment.\n",
     "- `PROFILE_URL`: The URL leading to the LinkedIn profile of the user who posted the comment.\n",
@@ -165,7 +163,7 @@
     "[Learn how to get your cookies on LinkedIn](https://www.notion.so/LinkedIn-driver-Get-your-cookies-d20a8e7e508e42af8a5b52e33f3dba75)\n",
     "- `li_at`: Cookie used to authenticate Members and API clients.\n",
     "- `JSESSIONID`: Cookie used for Cross Site Request Forgery (CSRF) protection and URL signature validation.\n",
-    "- `post_url`: This variable represents the LinkedIn profile URL."
+    "- `linkedin_url`: This variable represents the LinkedIn post URL."
    ]
   },
   {
@@ -180,7 +178,7 @@
    "source": [
     "li_at = naas.secret.get(\"LINKEDIN_LI_AT\") or \"YOUR_LINKEDIN_LI_AT\" #example: AQFAzQN_PLPR4wAAAXc-FCKmgiMit5FLdY1af3-2\n",
     "JSESSIONID = naas.secret.get(\"LINKEDIN_JSESSIONID\") or \"YOUR_LINKEDIN_JSESSIONID\" #example: ajax:8379907400220387585\n",
-    "post_url = \"\" "
+    "linkedin_url = \"\" "
    ]
   },
   {
@@ -222,7 +220,7 @@
    },
    "outputs": [],
    "source": [
-    "df = linkedin.connect(li_at, JSESSIONID).post.get_comments(post_url)\n",
+    "df = linkedin.connect(li_at, JSESSIONID).post.get_comments(linkedin_url)\n",
     "print(\"Comments:\", len(df))\n",
     "df.head(1)"
    ]
@@ -301,4 +299,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/LinkedIn/LinkedIn_Get_likes_from_post.ipynb → ...In/LinkedIn_Get_post_likes_profiles.ipynb b/LinkedIn/LinkedIn_Get_likes_from_post.ipynb → ...In/LinkedIn_Get_post_likes_profiles.ipynb
@@ -26,7 +26,7 @@
     "tags": []
    },
    "source": [
-    "# LinkedIn - Get likes from post\n",
+    "# LinkedIn - Get post likes profiles\n",
     "<a href=\"https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_likes_from_post.ipynb\" target=\"_parent\"><img src=\"https://naasai-public.s3.eu-west-3.amazonaws.com/Open_in_Naas_Lab.svg\"/></a><br><br><a href=\"https://bit.ly/3JyWIk6\">Give Feedback</a> | <a href=\"https://github.com/jupyter-naas/awesome-notebooks/issues/new?assignees=&labels=bug&template=bug_report.md&title=LinkedIn+-+Get+likes+from+post:+Error+short+description\">Bug report</a>"
    ]
   },
@@ -60,7 +60,7 @@
     "tags": []
    },
    "source": [
-    "**Last update:** 2023-08-26 (Created: 2021-06-17)"
+    "**Last update:** 2023-11-13 (Created: 2021-06-17)"
    ]
   },
   {
@@ -73,7 +73,7 @@
     ]
    },
    "source": [
-    "**Description:** \"This notebook is engineered to compile a list of profiles that have liked a specific LinkedIn post, and it organizes the data into a structured and easily digestible format. It creates a DataFrame that encompasses the following columns:\n",
+    "**Description:** This notebook retrieves information about the profiles of people who have liked a specific post on LinkedIn. This feature provides insights into the individuals who have engaged with a post, allowing users to view their profiles and potentially connect with them or engage in further conversations. The data is structured in a DataFrame with the following columns:\n",
     "\n",
     "- `PROFILE_ID`: The unique identifier for each LinkedIn profile.\n",
     "- `PROFILE_URL`: The URL of the individual's LinkedIn profile.\n",
@@ -87,9 +87,7 @@
     "- `PROFILE_TYPE`: The type of LinkedIn profile (e.g., individual, company).\n",
     "- `REACTION_TYPE`: The type of reaction (like, love, insightful, etc.) the user has given to the post.\n",
     "- `POST_URL`: The URL of the LinkedIn post that received the reaction.\n",
-    "- `DATE_EXTRACT`: The timestamp of when the reaction data was extracted.\n",
-    "\n",
-    "This notebook serves as a valuable tool for social media analysis, providing insights into user engagement on LinkedIn posts.\""
+    "- `DATE_EXTRACT`: The timestamp of when the reaction data was extracted."
    ]
   },
   {
@@ -158,7 +156,7 @@
     "[Learn how to get your cookies on LinkedIn](https://www.notion.so/LinkedIn-driver-Get-your-cookies-d20a8e7e508e42af8a5b52e33f3dba75)\n",
     "- `li_at`: Cookie used to authenticate Members and API clients.\n",
     "- `JSESSIONID`: Cookie used for Cross Site Request Forgery (CSRF) protection and URL signature validation.\n",
-    "- `post_url`: This variable represents the LinkedIn profile URL."
+    "- `linkedin_url`: This variable represents the LinkedIn post URL."
    ]
   },
   {
@@ -173,7 +171,7 @@
    "source": [
     "li_at = naas.secret.get(\"LINKEDIN_LI_AT\") or \"YOUR_LINKEDIN_LI_AT\" #example: AQFAzQN_PLPR4wAAAXc-FCKmgiMit5FLdY1af3-2\n",
     "JSESSIONID = naas.secret.get(\"LINKEDIN_JSESSIONID\") or \"YOUR_LINKEDIN_JSESSIONID\" #example: ajax:8379907400220387585\n",
-    "post_url = \"\" "
+    "linkedin_url = \"\" "
    ]
   },
   {
@@ -202,7 +200,7 @@
     "tags": []
    },
    "source": [
-    "### Get likes from post URL"
+    "### Get post likes"
    ]
   },
   {
@@ -215,7 +213,7 @@
    },
    "outputs": [],
    "source": [
-    "df = linkedin.connect(li_at, JSESSIONID).post.get_likes(post_url)\n",
+    "df = linkedin.connect(li_at, JSESSIONID).post.get_likes(linkedin_url)\n",
     "print(\"Likes:\", len(df))\n",
     "df.head(1)"
    ]
@@ -294,4 +292,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}
diff --git a/LinkedIn/LinkedIn_Get_polls_from_post.ipynb → ...edIn/LinkedIn_Get_post_poll_results.ipynb b/LinkedIn/LinkedIn_Get_polls_from_post.ipynb → ...edIn/LinkedIn_Get_post_poll_results.ipynb
@@ -60,7 +60,7 @@
     "tags": []
    },
    "source": [
-    "**Last update:** 2023-05-29 (Created: 2022-01-27)"
+    "**Last update:** 2023-11-13 (Created: 2022-01-27)"
    ]
   },
   {
@@ -127,57 +127,41 @@
    "outputs": [],
    "source": [
     "from naas_drivers import linkedin\n",
-    "import plotly.express as px"
+    "import plotly.express as px\n",
+    "import naas"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "hairy-breathing",
+   "id": "77cd5957-cede-4fb2-998e-a0e668c0e543",
    "metadata": {
     "papermill": {},
     "tags": []
    },
    "source": [
-    "### Get your cookies\n",
-    "<a href='https://www.notion.so/LinkedIn-driver-Get-your-cookies-d20a8e7e508e42af8a5b52e33f3dba75'>How to get your cookies ?</a>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "amended-optics",
-   "metadata": {
-    "papermill": {},
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "LI_AT = \"YOUR_COOKIE_LI_AT\"  # EXAMPLE AQFAzQN_PLPR4wAAAXc-FCKmgiMit5FLdY1af3-2\n",
-    "JSESSIONID = \"YOUR_COOKIE_JSESSIONID\"  # EXAMPLE ajax:8379907400220387585"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "upper-allergy",
-   "metadata": {
-    "papermill": {},
-    "tags": []
-   },
-   "source": [
-    "### Enter post URL"
+    "### Setup variables\n",
+    "**Mandatory**\n",
+    "\n",
+    "[Learn how to get your cookies on LinkedIn](https://www.notion.so/LinkedIn-driver-Get-your-cookies-d20a8e7e508e42af8a5b52e33f3dba75)\n",
+    "- `li_at`: Cookie used to authenticate Members and API clients.\n",
+    "- `JSESSIONID`: Cookie used for Cross Site Request Forgery (CSRF) protection and URL signature validation.\n",
+    "- `linkedin_url`: LinkedIn post URL"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "noted-observer",
+   "id": "4cc42457-533c-4293-8f91-0a955daeee2b",
    "metadata": {
     "papermill": {},
     "tags": []
    },
    "outputs": [],
    "source": [
-    "POST_URL = \"POST_URL\""
+    "# Mandatory\n",
+    "li_at = naas.secret.get(\"LINKEDIN_LI_AT\") or \"YOUR_LINKEDIN_LI_AT\" #example: AQFAzQN_PLPR4wAAAXc-FCKmgiMit5FLdY1af3-2\n",
+    "JSESSIONID = naas.secret.get(\"LINKEDIN_JSESSIONID\") or \"YOUR_LINKEDIN_JSESSIONID\" #example: ajax:8379907400220387585\n",
+    "linkedin_url = \"\""
    ]
   },
   {
@@ -199,7 +183,7 @@
     "tags": []
    },
    "source": [
-    "### Get poll results from post"
+    "### Get poll results"
    ]
   },
   {
@@ -212,7 +196,7 @@
    },
    "outputs": [],
    "source": [
-    "df = linkedin.connect(LI_AT, JSESSIONID).post.get_polls(POST_URL)\n",
+    "df = linkedin.connect(JSESSIONID, JSESSIONID).post.get_polls(linkedin_url)\n",
     "print(\"📝 Nb of poll results\", len(df))\n",
     "df.head(5)"
    ]
@@ -360,4 +344,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}