Get polls from post

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Tags: #linkedin #post #polls #naas_drivers
Author: Florent Ravenel​
Input
Import library
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from naas_drivers import linkedin
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import plotly.express as px
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Get your cookies
​How to get your cookies ?​
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LI_AT = 'YOUR_COOKIE_LI_AT'  # EXAMPLE AQFAzQN_PLPR4wAAAXc-FCKmgiMit5FLdY1af3-2
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JSESSIONID = 'YOUR_COOKIE_JSESSIONID'  # EXAMPLE ajax:8379907400220387585
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Enter post URL
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POST_URL = "POST_URL"
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Model
Get poll results from post
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df = linkedin.connect(LI_AT, JSESSIONID).post.get_polls(POST_URL)
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print("📝 Nb of poll results", len(df))
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df.head(5)
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Output
Save your result in csv
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df.to_csv("POLL.csv", index=False)
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print("💾 Poll results saved in csv")
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Create, export and share your graph
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def create_polls_graph(df):
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    poll_id = df.POLL_ID.unique()[0]
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    title = df.POLL_QUESTION.unique()[0]
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    # Create dataframe
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    df = df.groupby(["POLL_RESULT"], as_index=False).agg({"PROFILE_ID": "count"})
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    df["VALUE"] = df["PROFILE_ID"] / df["PROFILE_ID"].sum() * 100
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    df["VALUE_D"] = df["VALUE"].map('{:.0f}%'.format)
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    # Count voters
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    voters = df.PROFILE_ID.sum()
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    # Create fig
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    fig = px.bar(df,
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                 y="POLL_RESULT",
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                 x="PROFILE_ID",
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                 orientation='h',
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                 title=f"{title}<br><span style='font-size: 13px;'>Total amount of votes: {voters}</span>",
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                 text="VALUE_D",
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                 labels={
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                     "POLL_RESULT": "Options",
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                     "PROFILE_ID": "Nb of votes",
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                     "VALUE_D": "% of votes"
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                 },
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                 )
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    fig.update_traces(marker_color='black')
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    fig.update_layout(
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        plot_bgcolor="#ffffff",
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        width=600,
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        height=400,
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        font=dict(family="Arial", size=14, color="black"),
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        paper_bgcolor="white",
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        xaxis_title=None,
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        xaxis_showticklabels=False,
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        yaxis_title=None,
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        margin_pad=10,
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    )
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    fig.write_html(f"{poll_id}.html")
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    fig.show()
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    asset = naas.asset.add(f"{poll_id}.html")
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    return asset
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​
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create_polls_graph(df)
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Get invitations received

Generate leads from posts

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Contents

Input

Model

Output