示例#1
0
def linkedin_setup():
    start_time = datetime.now()
    linkedin_object = get_linkedin_object()
    user_input = input("Enter the name of company or type 'exit' to exit: ").strip()
    company_universal_name = get_company_name(user_input)
    get_linkedin_id(company_universal_name, linkedin_object=linkedin_object)
    print(f"Total Time={datetime.now() - start_time}")
    print("=" * 160)
    return linkedin_setup()
def get_engagements(linkedin, company, total_likes=0, total_posts=0):
    company_universal_name = get_company_name(company)
    print(f"Looking engagements for : {company_universal_name}")
    company_updates = get_updates(
        linkedin_object=linkedin, company_name=company_universal_name
    )
    if company_updates:
        for post in company_updates:
            post_link, post_like = get_post_link_and_social_activity(item=post)
            total_likes += post_like
        total_posts += len(company_updates)
        return total_posts, total_likes
    else:
        print("Company doesnt have any post and likes!!")
        return None, None
示例#3
0
def linkedin_posts_setup():
    start_time = datetime.now()
    linkedin_object = get_linkedin_object()
    print("=" * 160)
    user_input = input(
        "Enter the company universal name or urn id or linkedin profile url or type exit: "
    ).strip()
    if user_input == EXIT:
        sys.exit("Quiting the Tool!!")
    company_universal_name = get_company_name(user_input)
    print("Looking for posts: ....")
    company_updates = get_updates(
        linkedin_object=linkedin_object, company_name=company_universal_name
    )
    if company_updates:
        print("Fetched the posts and now printing them :")
        for update_number, update in enumerate(company_updates):
            print_linkedin_post_data(item_number=update_number, item=update)
        print(f"Total Time={datetime.now() - start_time}")
        linkedin_posts_setup()
示例#4
0
def id_html_table():
    start_time = datetime.now()
    company_identifier = request.args.get("company")
    company = get_company_name(input_string=company_identifier)
    df_ids = get_linkedin_id(company_name=company,
                             linkedin_object=linkedin_object)
    print(f"Time taken to fetch the result= {datetime.now() - start_time}")
    print("=" * 130)
    return render_template(
        "simple.html",
        page_title=f"IDs for {company}",
        tables=[
            df_ids.to_html(
                classes=["table-bordered", "table-striped", "table-hover"],
                justify="initial",
                render_links=True,
                escape=False,
                float_format="{:,.0f}".format,
            )
        ],
        titles=df_ids.columns.values,
    )
示例#5
0
def posts_html_table():
    start_time = datetime.now()
    company_identifier = request.args.get("company")
    company = get_company_name(input_string=company_identifier)
    company_updates = get_updates(linkedin_object=linkedin_object,
                                  company_name=company)
    if not company_updates:
        return f"No post for :{company_identifier}"
    df_post = pd.DataFrame()
    for update in company_updates:
        linkedin_post_link, total_likes = get_post_link_and_social_activity(
            item=update)
        shared_url = get_url(item=update)
        df_post = df_post.append(
            {
                "LinkedIn Post Url": linkedin_post_link,
                "Total Likes": total_likes,
                "Shared Url": shared_url,
            },
            ignore_index=True,
        )
    print(f"Time taken to fetch the result= {datetime.now() - start_time}")
    print("=" * 130)
    return render_template(
        "simple.html",
        page_title=f"Posts for {company}",
        tables=[
            df_post.to_html(
                classes=["table-bordered", "table-striped", "table-hover"],
                justify="initial",
                render_links=True,
                escape=False,
                float_format="{:,.0f}".format,
            )
        ],
        titles=df_post.columns.values,
    )