diff --git a/.github/push_templates_to_algolia.ipynb b/.github/push_templates_to_algolia.ipynb index 766030fc5c..93f103db6c 100644 --- a/.github/push_templates_to_algolia.ipynb +++ b/.github/push_templates_to_algolia.ipynb @@ -54,10 +54,10 @@ "id": "aa0e3e6f-1260-4452-8abf-7c084e26c8a4", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:54:01.501666Z", - "iopub.status.busy": "2023-12-01T10:54:01.501198Z", - "iopub.status.idle": "2023-12-01T10:54:01.547679Z", - "shell.execute_reply": "2023-12-01T10:54:01.547060Z" + "iopub.execute_input": "2023-12-01T11:05:53.427132Z", + "iopub.status.busy": "2023-12-01T11:05:53.426497Z", + "iopub.status.idle": "2023-12-01T11:05:53.473247Z", + "shell.execute_reply": "2023-12-01T11:05:53.472659Z" }, "papermill": {}, "tags": [] @@ -95,10 +95,10 @@ "id": "cfa97168-63eb-4e8c-89c3-0a5d26f47740", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:54:01.550605Z", - "iopub.status.busy": "2023-12-01T10:54:01.550296Z", - "iopub.status.idle": "2023-12-01T10:54:01.553660Z", - "shell.execute_reply": "2023-12-01T10:54:01.553139Z" + "iopub.execute_input": "2023-12-01T11:05:53.475780Z", + "iopub.status.busy": "2023-12-01T11:05:53.475406Z", + "iopub.status.idle": "2023-12-01T11:05:53.478813Z", + "shell.execute_reply": "2023-12-01T11:05:53.478214Z" }, "papermill": {}, "tags": [] @@ -141,10 +141,10 @@ "id": "7a9c86c2-931d-4113-abbc-31b3f517b6c4", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:54:01.556164Z", - "iopub.status.busy": "2023-12-01T10:54:01.555797Z", - "iopub.status.idle": "2023-12-01T10:54:01.569011Z", - "shell.execute_reply": "2023-12-01T10:54:01.568450Z" + "iopub.execute_input": "2023-12-01T11:05:53.481639Z", + "iopub.status.busy": "2023-12-01T11:05:53.481050Z", + "iopub.status.idle": "2023-12-01T11:05:53.494702Z", + "shell.execute_reply": "2023-12-01T11:05:53.494062Z" }, "tags": [] }, @@ -178,10 +178,10 @@ "id": "c50e96b2-4403-413c-a99a-9243be0c0a04", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:54:01.571582Z", - "iopub.status.busy": "2023-12-01T10:54:01.571100Z", - "iopub.status.idle": "2023-12-01T10:54:01.720466Z", - "shell.execute_reply": "2023-12-01T10:54:01.719817Z" + "iopub.execute_input": "2023-12-01T11:05:53.497379Z", + "iopub.status.busy": "2023-12-01T11:05:53.497029Z", + "iopub.status.idle": "2023-12-01T11:05:53.668218Z", + "shell.execute_reply": "2023-12-01T11:05:53.667573Z" }, "tags": [] }, @@ -230,10 +230,10 @@ "id": "da661ba3-fd15-4abc-bd4f-d13ae77b82b0", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:54:01.723363Z", - "iopub.status.busy": "2023-12-01T10:54:01.722930Z", - "iopub.status.idle": "2023-12-01T10:54:01.887753Z", - "shell.execute_reply": "2023-12-01T10:54:01.887063Z" + "iopub.execute_input": "2023-12-01T11:05:53.670969Z", + "iopub.status.busy": "2023-12-01T11:05:53.670517Z", + "iopub.status.idle": "2023-12-01T11:05:53.867242Z", + "shell.execute_reply": "2023-12-01T11:05:53.866622Z" }, "tags": [] }, @@ -260,10 +260,10 @@ "id": "f1482a8f-4ce5-4e04-93c8-ddd883375d67", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:54:01.890701Z", - "iopub.status.busy": "2023-12-01T10:54:01.890292Z", - "iopub.status.idle": "2023-12-01T10:54:01.906800Z", - "shell.execute_reply": "2023-12-01T10:54:01.906167Z" + "iopub.execute_input": "2023-12-01T11:05:53.869835Z", + "iopub.status.busy": "2023-12-01T11:05:53.869654Z", + "iopub.status.idle": "2023-12-01T11:05:53.885900Z", + "shell.execute_reply": "2023-12-01T11:05:53.885203Z" }, "tags": [] }, diff --git a/Python/Python_Download_video_from_URL.ipynb b/Python/Python_Download_video_from_URL.ipynb index 631077b957..384c810263 100644 --- a/Python/Python_Download_video_from_URL.ipynb +++ b/Python/Python_Download_video_from_URL.ipynb @@ -8,7 +8,7 @@ "tags": [] }, "source": [ - "\"Naas\"" + "\"Python.png\"" ] }, { @@ -19,7 +19,8 @@ "tags": [] }, "source": [ - "# Python - Download video from URL" + "# Python - Download video from URL\n", + "

Give Feedback | Bug report" ] }, { @@ -244,6 +245,16 @@ "pygments_lexer": "ipython3", "version": "3.9.6" }, + "naas": { + "notebook_id": "b76ae9bbd391dd8972e9de76ce119fa1c74872680bea01a968340d99568e5e7e", + "notebook_path": "Python/Python_Download_video_from_URL.ipynb" + }, + "papermill": { + "default_parameters": {}, + "environment_variables": {}, + "parameters": {}, + "version": "2.5.0" + }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": {}, @@ -254,4 +265,4 @@ }, "nbformat": 4, "nbformat_minor": 5 -} +} \ No newline at end of file diff --git a/README.md b/README.md index 9c4798f0b4..581c7fbf28 100644 --- a/README.md +++ b/README.md @@ -1367,6 +1367,7 @@ We are committed to sharing templates and giving shout outs to the contributors * [Download Webpage as PDF](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Python/Python_Download_Webpage_as_PDF.ipynb) * [Download ZIP from URL](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Python/Python_Download_ZIP_from_URL.ipynb) * [Download audio file from URL](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Python/Python_Download_audio_file_from_URL.ipynb) +* [Download video from URL](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Python/Python_Download_video_from_URL.ipynb) * [Explore Dataset with Pivot Table](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Python/Python_Explore_Dataset_with_Pivot_Table.ipynb) * [Extract characters from string](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Python/Python_Extract_characters_from_string.ipynb) * [Find Phone Number in string](https://github.com/jupyter-naas/awesome-notebooks/blob/master/Python/Python_Find_Phone_Number_in_string.ipynb) diff --git a/generate_readme.ipynb b/generate_readme.ipynb index 9ec5ccbd38..b4584277e3 100644 --- a/generate_readme.ipynb +++ b/generate_readme.ipynb @@ -41,10 +41,10 @@ "id": "sitting-directory", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:53:51.924173Z", - "iopub.status.busy": "2023-12-01T10:53:51.923638Z", - "iopub.status.idle": "2023-12-01T10:53:54.413291Z", - "shell.execute_reply": "2023-12-01T10:53:54.412585Z" + "iopub.execute_input": "2023-12-01T11:05:43.874006Z", + "iopub.status.busy": "2023-12-01T11:05:43.873813Z", + "iopub.status.idle": "2023-12-01T11:05:46.351230Z", + "shell.execute_reply": "2023-12-01T11:05:46.350558Z" }, "tags": [] }, @@ -94,10 +94,10 @@ "id": "guided-edgar", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:53:54.416721Z", - "iopub.status.busy": "2023-12-01T10:53:54.416291Z", - "iopub.status.idle": "2023-12-01T10:53:54.420340Z", - "shell.execute_reply": "2023-12-01T10:53:54.419717Z" + "iopub.execute_input": "2023-12-01T11:05:46.354722Z", + "iopub.status.busy": "2023-12-01T11:05:46.354295Z", + "iopub.status.idle": "2023-12-01T11:05:46.358200Z", + "shell.execute_reply": "2023-12-01T11:05:46.357623Z" }, "tags": [] }, @@ -140,10 +140,10 @@ "id": "36c9011e-5f51-4779-8062-a627503100e1", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:53:54.423181Z", - "iopub.status.busy": "2023-12-01T10:53:54.422805Z", - "iopub.status.idle": "2023-12-01T10:53:54.794474Z", - "shell.execute_reply": "2023-12-01T10:53:54.793760Z" + "iopub.execute_input": "2023-12-01T11:05:46.360816Z", + "iopub.status.busy": "2023-12-01T11:05:46.360417Z", + "iopub.status.idle": "2023-12-01T11:05:46.731652Z", + "shell.execute_reply": "2023-12-01T11:05:46.730940Z" }, "tags": [] }, @@ -211,10 +211,10 @@ "id": "7fa60d66-a43a-4ba3-abfb-ee1779afdfc3", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:53:54.797542Z", - "iopub.status.busy": "2023-12-01T10:53:54.797259Z", - "iopub.status.idle": "2023-12-01T10:53:54.801243Z", - "shell.execute_reply": "2023-12-01T10:53:54.800684Z" + "iopub.execute_input": "2023-12-01T11:05:46.734549Z", + "iopub.status.busy": "2023-12-01T11:05:46.734143Z", + "iopub.status.idle": "2023-12-01T11:05:46.737869Z", + "shell.execute_reply": "2023-12-01T11:05:46.737206Z" }, "tags": [] }, @@ -251,10 +251,10 @@ "id": "f9a4c7b2-d667-4555-98ed-31786278e947", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:53:54.803954Z", - "iopub.status.busy": "2023-12-01T10:53:54.803583Z", - "iopub.status.idle": "2023-12-01T10:53:54.817769Z", - "shell.execute_reply": "2023-12-01T10:53:54.817049Z" + "iopub.execute_input": "2023-12-01T11:05:46.740384Z", + "iopub.status.busy": "2023-12-01T11:05:46.740014Z", + "iopub.status.idle": "2023-12-01T11:05:46.753793Z", + "shell.execute_reply": "2023-12-01T11:05:46.753280Z" }, "tags": [] }, @@ -387,10 +387,10 @@ "id": "9f21cfbb-2bcc-4bca-81a4-fad14b081371", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:53:54.820403Z", - "iopub.status.busy": "2023-12-01T10:53:54.820193Z", - "iopub.status.idle": "2023-12-01T10:53:54.826112Z", - "shell.execute_reply": "2023-12-01T10:53:54.825466Z" + "iopub.execute_input": "2023-12-01T11:05:46.756305Z", + "iopub.status.busy": "2023-12-01T11:05:46.755929Z", + "iopub.status.idle": "2023-12-01T11:05:46.762063Z", + "shell.execute_reply": "2023-12-01T11:05:46.761519Z" }, "tags": [] }, @@ -480,10 +480,10 @@ "id": "cf449624-c614-43e5-9df6-2ccc93257efa", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:53:54.828494Z", - "iopub.status.busy": "2023-12-01T10:53:54.828300Z", - "iopub.status.idle": "2023-12-01T10:53:54.835090Z", - "shell.execute_reply": "2023-12-01T10:53:54.834459Z" + "iopub.execute_input": "2023-12-01T11:05:46.764552Z", + "iopub.status.busy": "2023-12-01T11:05:46.764211Z", + "iopub.status.idle": "2023-12-01T11:05:46.770825Z", + "shell.execute_reply": "2023-12-01T11:05:46.770201Z" }, "tags": [] }, @@ -531,10 +531,10 @@ "id": "9f05fc34-0056-499e-aaac-beccbd490ce0", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:53:54.837745Z", - "iopub.status.busy": "2023-12-01T10:53:54.837392Z", - "iopub.status.idle": "2023-12-01T10:53:54.840996Z", - "shell.execute_reply": "2023-12-01T10:53:54.840389Z" + "iopub.execute_input": "2023-12-01T11:05:46.773512Z", + "iopub.status.busy": "2023-12-01T11:05:46.773178Z", + "iopub.status.idle": "2023-12-01T11:05:46.776738Z", + "shell.execute_reply": "2023-12-01T11:05:46.776172Z" }, "tags": [] }, @@ -570,10 +570,10 @@ "id": "e45fc17e-ba5a-4317-92b3-f6de4c1a0bde", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:53:54.844131Z", - "iopub.status.busy": "2023-12-01T10:53:54.843596Z", - "iopub.status.idle": "2023-12-01T10:53:57.833515Z", - "shell.execute_reply": "2023-12-01T10:53:57.832905Z" + "iopub.execute_input": "2023-12-01T11:05:46.779312Z", + "iopub.status.busy": "2023-12-01T11:05:46.778956Z", + "iopub.status.idle": "2023-12-01T11:05:49.810357Z", + "shell.execute_reply": "2023-12-01T11:05:49.809772Z" }, "tags": [] }, @@ -691,10 +691,10 @@ "id": "younger-consensus", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:53:57.836219Z", - "iopub.status.busy": "2023-12-01T10:53:57.836007Z", - "iopub.status.idle": "2023-12-01T10:53:57.841256Z", - "shell.execute_reply": "2023-12-01T10:53:57.840711Z" + "iopub.execute_input": "2023-12-01T11:05:49.813212Z", + "iopub.status.busy": "2023-12-01T11:05:49.812784Z", + "iopub.status.idle": "2023-12-01T11:05:49.818704Z", + "shell.execute_reply": "2023-12-01T11:05:49.818064Z" }, "tags": [] }, @@ -728,10 +728,10 @@ "id": "2a95cba3-027c-4a57-8bfa-2ee1e9053bb7", "metadata": { "execution": { - "iopub.execute_input": "2023-12-01T10:53:57.843619Z", - "iopub.status.busy": "2023-12-01T10:53:57.843421Z", - "iopub.status.idle": "2023-12-01T10:53:57.876908Z", - "shell.execute_reply": "2023-12-01T10:53:57.876346Z" + "iopub.execute_input": "2023-12-01T11:05:49.821222Z", + "iopub.status.busy": "2023-12-01T11:05:49.821034Z", + "iopub.status.idle": "2023-12-01T11:05:49.854866Z", + "shell.execute_reply": "2023-12-01T11:05:49.854300Z" }, "tags": [] }, diff --git a/templates.json b/templates.json index 3f43da0090..242d01a8a2 100644 --- a/templates.json +++ b/templates.json @@ -1 +1 @@ -[{"objectID": "0a37b7abc9ab70a60d7dbd790eb18fea8ee0d1814968dd6470ff69681f379f54", "tool": "AWS", "notebook": "Get cost and usage by service and type", "action": "", "tags": ["#aws", "#cloud", "#ce", "#operations", "#snippet"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-20", "created_at": "2021-09-14", "description": "This notebook leverages the AWS Cost Explorer API to retrieve detailed cost and usage information by service and usage type from an AWS account. 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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- `PUBLIC_ID`: The public identifier visible in the URL of the user's LinkedIn profile.\n- `FIRSTNAME`: The first name of the LinkedIn user.\n- `LASTNAME`: The last name of the LinkedIn user.\n- `FULLNAME`: The full name of the LinkedIn user.\n- `OCCUPATION`: The professional title or job role of the LinkedIn user.\n- `PROFILE_PICTURE`: The URL of the LinkedIn user's profile picture.\n- `BACKGROUND_PICTURE`: The URL of the LinkedIn user's background picture.\n- `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.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_post_likes_profiles.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_post_likes_profiles.ipynb", "imports": ["naas", "naas_drivers.linkedin"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "e8eadf9bd02afe9c2781f4a344a102d6f69c2b2cff22ef5156f7a01b5bcd7e45", "tool": "LinkedIn", "notebook": "Get polls from post", "action": "", "tags": ["#linkedin", "#post", "#polls", "#naas_drivers", "#content", "#analytics", "#image", "#html", "#plotly"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-13", "created_at": "2022-01-27", "description": "This notebook allows users to get poll results from their LinkedIn posts.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_post_poll_results.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_post_poll_results.ipynb", "imports": ["naas_drivers.linkedin", "plotly.express", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "0d21ed7b5f6b488acd783047439ca0977cdd61599ca8bdaf5a723329d72caa46", "tool": "LinkedIn", "notebook": "Get post stats", "action": "", "tags": ["#linkedin", "#post", "#stats", "#naas_drivers", "#snippet", "#content", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-13", "created_at": "2021-06-17", "description": "This notebook retrieves your stats from a LinkedIn post.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_post_stats.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_post_stats.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "c3bbc0a688cb73907fda0ee047c06ac4c28ead5e92bb3c9be20f01a199b9d9c6", "tool": "LinkedIn", "notebook": "Get posts engagements", "action": "", "tags": ["#linkedin", "#posts", "#interactions", "#metrics", "#analytics", "#automation", "#naas"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-05-29", "created_at": "2022-08-04", "description": "This notebook provides insights into how to increase engagement on LinkedIn posts. To run this notebook, you must have already run LinkedIn_Get_profile_posts_stats.ipynb or LinkedIn_Get_company_posts_stats.ipynb to get your post stats in CSV.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_posts_engagements.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_posts_engagements.ipynb", "imports": ["naas", "pandas", "datetime.datetime"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "03c8a86882779514012ce6672c7761dc1a8a1da1ce6c7dc6f07761e46730f4cb", "tool": "LinkedIn", "notebook": "Get profile contact", "action": "", "tags": ["#linkedin", "#profile", "#contact", "#naas_drivers", "#content", "#snippet", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-06", "created_at": "2021-06-17", "description": "This notebook allows you to extract contact information from LinkedIn profiles. The dataframe returned will contain the following columns:\n\n- PROFILE_ID: The unique identifier of the profile\n- PROFILE_URL: The URL of the profile\n- PUBLIC_ID: The public identifier of the profile\n- EMAIL: The email address associated with the profile\n- CONNECTED_AT: The date and time when the profile was connected\n- BIRTHDATE: The birthdate of the profile owner\n- ADDRESS: The address of the profile owner\n- TWITTER: The Twitter handle associated with the profile\n- PHONENUMBER: The phone number of the profile owner\n- WEBSITES: The websites associated with the profile\n- INTERESTS: The interests or hobbies of the profile owner", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_profile_contact.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_profile_contact.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "8ef2beafb27e3a04d9e96804df4505b225aa4fe73f0529145ad2a58a3db50895", "tool": "LinkedIn", "notebook": "Get profile identity", "action": "", "tags": ["#linkedin", "#profile", "#identity", "#naas_drivers", "#content", "#snippet", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-06", "created_at": "2021-06-17", "description": "This notebook helps you extract identity information from LinkedIn profiles.The dataframe returned will contain the following columns:\n- FIRSTNAME: The first name of the person\n- LASTNAME: The last name of the person\n- SUMMARY: A summary or description of the person\n- OCCUPATION: The occupation or job title of the person\n- INDUSTRY_NAME: The name of the industry the person is associated with\n- ADDRESS: The address of the person\n- REGION: The region or state where the person is located\n- COUNTRY: The country where the person is located\n- LOCATION: The specific location of the person\n- BIRTHDATE: The birthdate of the person\n- PROFILE_ID: The unique identifier of the person's profile\n- PROFILE_URL: The URL of the person's profile\n- PUBLIC_ID: The public identifier of the person\n- BACKGROUND_PICTURE: The URL of the background picture associated with the person's profile\n- PROFILE_PICTURE: The URL of the profile picture of the person", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_profile_identity.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_profile_identity.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "1da4b1cd630239550bc3c7fab1f27f151766aaec25a552b97308ba1751c8ee8b", "tool": "LinkedIn", "notebook": "Get profile information", "action": "", "tags": ["#linkedin", "#profile", "#resume", "#naas_drivers", "#content", "#snippet", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-05-29", "created_at": "2022-10-06", "description": "This notebook allows you to access and analyze profile information from LinkedIn.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_profile_information.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_profile_information.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "3b1523114e0231f73b714a0e7f272480d3c6fb679884c1d591c555e8accee452", "tool": "LinkedIn", "notebook": "Get profile network", "action": "", "tags": ["#linkedin", "#profile", "#network", "#followers", "#naas_drivers", "#content", "#snippet", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-06", "created_at": "2021-06-17", "description": "This notebook allows users to extract some network informations from a LinkedIn profile URL. The dataframe returned will contain the following columns:\n\n- PROFILE_ID: The unique identifier of the profile\n- PROFILE_URL: The URL of the profile\n- PUBLIC_ID: The public identifier of the profile\n- DISTANCE: The distance between the profile and you\n- FOLLOWING: Indicates whether the profile is following another entity\n- FOLLOWABLE: Indicates whether the profile can be followed by other entities\n- FOLLOWERS_COUNT: The number of followers the profile has", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_profile_network.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_profile_network.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "ff638a6ff20341b8d9c703bd58fb5088b4bfd7df4f07be972ae77d964ad9eb84", "tool": "LinkedIn", "notebook": "Get profile posts stats", "action": "", "tags": ["#linkedin", "#profile", "#post", "#stats", "#naas_drivers", "#content", "#automation", "#csv"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-08-23", "created_at": "2022-06-30", "description": "This notebook fetches your profile's post statistics from LinkedIn and stores them in a CSV file.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_profile_posts_stats.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_profile_posts_stats.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "465d0ea5fb679706680df94bb2b12889e7b08dc9b7a89dc9f49fe9317000140a", "tool": "LinkedIn", "notebook": "Get profile resume", "action": "", "tags": ["#linkedin", "#profile", "#resume", "#naas_drivers", "#content", "#snippet", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-06", "created_at": "2021-10-14", "description": "This notebook allows users to extract the LinkedIn resume from a LinkedIn profile URL. 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\nData source: Satellite observations. Credit: NSIDC/NASA\n\n**What is Arctic sea ice extent?**
\nSea ice extent is a measure of the surface area of the ocean covered by sea ice. Increases in air and ocean temperatures decrease sea ice extent; in turn, the resulting darker ocean surface absorbs more solar radiation and increases Arctic warming.
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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- `PUBLIC_ID`: The public identifier visible in the URL of the user's LinkedIn profile.\n- `FIRSTNAME`: The first name of the LinkedIn user.\n- `LASTNAME`: The last name of the LinkedIn user.\n- `FULLNAME`: The full name of the LinkedIn user.\n- `OCCUPATION`: The professional title or job role of the LinkedIn user.\n- `PROFILE_PICTURE`: The URL of the LinkedIn user's profile picture.\n- `BACKGROUND_PICTURE`: The URL of the LinkedIn user's background picture.\n- `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.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_post_likes_profiles.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_post_likes_profiles.ipynb", "imports": ["naas", "naas_drivers.linkedin"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "e8eadf9bd02afe9c2781f4a344a102d6f69c2b2cff22ef5156f7a01b5bcd7e45", "tool": "LinkedIn", "notebook": "Get polls from post", "action": "", "tags": ["#linkedin", "#post", "#polls", "#naas_drivers", "#content", "#analytics", "#image", "#html", "#plotly"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-13", "created_at": "2022-01-27", "description": "This notebook allows users to get poll results from their LinkedIn posts.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_post_poll_results.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_post_poll_results.ipynb", "imports": ["naas_drivers.linkedin", "plotly.express", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "0d21ed7b5f6b488acd783047439ca0977cdd61599ca8bdaf5a723329d72caa46", "tool": "LinkedIn", "notebook": "Get post stats", "action": "", "tags": ["#linkedin", "#post", "#stats", "#naas_drivers", "#snippet", "#content", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-13", "created_at": "2021-06-17", "description": "This notebook retrieves your stats from a LinkedIn post.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_post_stats.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_post_stats.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "c3bbc0a688cb73907fda0ee047c06ac4c28ead5e92bb3c9be20f01a199b9d9c6", "tool": "LinkedIn", "notebook": "Get posts engagements", "action": "", "tags": ["#linkedin", "#posts", "#interactions", "#metrics", "#analytics", "#automation", "#naas"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-05-29", "created_at": "2022-08-04", "description": "This notebook provides insights into how to increase engagement on LinkedIn posts. To run this notebook, you must have already run LinkedIn_Get_profile_posts_stats.ipynb or LinkedIn_Get_company_posts_stats.ipynb to get your post stats in CSV.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_posts_engagements.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_posts_engagements.ipynb", "imports": ["naas", "pandas", "datetime.datetime"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "03c8a86882779514012ce6672c7761dc1a8a1da1ce6c7dc6f07761e46730f4cb", "tool": "LinkedIn", "notebook": "Get profile contact", "action": "", "tags": ["#linkedin", "#profile", "#contact", "#naas_drivers", "#content", "#snippet", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-06", "created_at": "2021-06-17", "description": "This notebook allows you to extract contact information from LinkedIn profiles. The dataframe returned will contain the following columns:\n\n- PROFILE_ID: The unique identifier of the profile\n- PROFILE_URL: The URL of the profile\n- PUBLIC_ID: The public identifier of the profile\n- EMAIL: The email address associated with the profile\n- CONNECTED_AT: The date and time when the profile was connected\n- BIRTHDATE: The birthdate of the profile owner\n- ADDRESS: The address of the profile owner\n- TWITTER: The Twitter handle associated with the profile\n- PHONENUMBER: The phone number of the profile owner\n- WEBSITES: The websites associated with the profile\n- INTERESTS: The interests or hobbies of the profile owner", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_profile_contact.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_profile_contact.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "8ef2beafb27e3a04d9e96804df4505b225aa4fe73f0529145ad2a58a3db50895", "tool": "LinkedIn", "notebook": "Get profile identity", "action": "", "tags": ["#linkedin", "#profile", "#identity", "#naas_drivers", "#content", "#snippet", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-06", "created_at": "2021-06-17", "description": "This notebook helps you extract identity information from LinkedIn profiles.The dataframe returned will contain the following columns:\n- FIRSTNAME: The first name of the person\n- LASTNAME: The last name of the person\n- SUMMARY: A summary or description of the person\n- OCCUPATION: The occupation or job title of the person\n- INDUSTRY_NAME: The name of the industry the person is associated with\n- ADDRESS: The address of the person\n- REGION: The region or state where the person is located\n- COUNTRY: The country where the person is located\n- LOCATION: The specific location of the person\n- BIRTHDATE: The birthdate of the person\n- PROFILE_ID: The unique identifier of the person's profile\n- PROFILE_URL: The URL of the person's profile\n- PUBLIC_ID: The public identifier of the person\n- BACKGROUND_PICTURE: The URL of the background picture associated with the person's profile\n- PROFILE_PICTURE: The URL of the profile picture of the person", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_profile_identity.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_profile_identity.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "1da4b1cd630239550bc3c7fab1f27f151766aaec25a552b97308ba1751c8ee8b", "tool": "LinkedIn", "notebook": "Get profile information", "action": "", "tags": ["#linkedin", "#profile", "#resume", "#naas_drivers", "#content", "#snippet", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-05-29", "created_at": "2022-10-06", "description": "This notebook allows you to access and analyze profile information from LinkedIn.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_profile_information.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_profile_information.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "3b1523114e0231f73b714a0e7f272480d3c6fb679884c1d591c555e8accee452", "tool": "LinkedIn", "notebook": "Get profile network", "action": "", "tags": ["#linkedin", "#profile", "#network", "#followers", "#naas_drivers", "#content", "#snippet", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-06", "created_at": "2021-06-17", "description": "This notebook allows users to extract some network informations from a LinkedIn profile URL. The dataframe returned will contain the following columns:\n\n- PROFILE_ID: The unique identifier of the profile\n- PROFILE_URL: The URL of the profile\n- PUBLIC_ID: The public identifier of the profile\n- DISTANCE: The distance between the profile and you\n- FOLLOWING: Indicates whether the profile is following another entity\n- FOLLOWABLE: Indicates whether the profile can be followed by other entities\n- FOLLOWERS_COUNT: The number of followers the profile has", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_profile_network.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_profile_network.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "ff638a6ff20341b8d9c703bd58fb5088b4bfd7df4f07be972ae77d964ad9eb84", "tool": "LinkedIn", "notebook": "Get profile posts stats", "action": "", "tags": ["#linkedin", "#profile", "#post", "#stats", "#naas_drivers", "#content", "#automation", "#csv"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-08-23", "created_at": "2022-06-30", "description": "This notebook fetches your profile's post statistics from LinkedIn and stores them in a CSV file.", "open_in_lab": "https://app.naas.ai/user-redirect/naas/downloader?url=https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/LinkedIn/LinkedIn_Get_profile_posts_stats.ipynb", "open_in_chat": "", "notebook_url": "https://github.com/jupyter-naas/awesome-notebooks/blob/master/LinkedIn/LinkedIn_Get_profile_posts_stats.ipynb", "imports": ["naas_drivers.linkedin", "naas"], "image_url": "https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/LinkedIn.png"}, {"objectID": "465d0ea5fb679706680df94bb2b12889e7b08dc9b7a89dc9f49fe9317000140a", "tool": "LinkedIn", "notebook": "Get profile resume", "action": "", "tags": ["#linkedin", "#profile", "#resume", "#naas_drivers", "#content", "#snippet", "#dataframe"], "author": "Florent Ravenel", "author_url": "https://www.linkedin.com/in/florent-ravenel/", "updated_at": "2023-11-06", "created_at": "2021-10-14", "description": "This notebook allows users to extract the LinkedIn resume from a LinkedIn profile URL. 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\nData source: Satellite observations. Credit: NSIDC/NASA\n\n**What is Arctic sea ice extent?**
\nSea ice extent is a measure of the surface area of the ocean covered by sea ice. Increases in air and ocean temperatures decrease sea ice extent; in turn, the resulting darker ocean surface absorbs more solar radiation and increases Arctic warming.
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