<jupyter_start><jupyter_text>LinkedIn - Get identity from profile  Input<jupyter_code>from naas_drivers import linkedin<jupyter_output><empty_output><jupyter_text>Get your cookiesHow to get your cookies ?<jupyter_code>LI_AT = 'YOUR_COOKIE_LI_AT'  # EXAMPLE AQFAzQN_PLPR4wAAAXc-FCKmgiMit5FLdY1af3-2
JSESSIONID = 'YOUR_COOKIE_JSESSIONID'  # EXAMPLE ajax:8379907400220387585<jupyter_output><empty_output><jupyter_text>Enter profile URL<jupyter_code>PROFILE_URL = "PROFILE_URL"<jupyter_output><empty_output><jupyter_text>Model Get the information return in a dataframe.**Available columns :**- PROFILE_URN : LinkedIn unique profile id- PROFILE_ID : LinkedIn public profile id- FIRSTNAME- LASTNAME- SUMMARY- OCCUPATION- INDUSTRY_NAME- ADDRESS- REGION- COUNTRY- LOCATION- BIRTHDATE<jupyter_code>df = linkedin.connect(LI_AT, JSESSIONID).profile.get_identity(PROFILE_URL)<jupyter_output><empty_output><jupyter_text>Output  Display result<jupyter_code>df<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08923076923076922, 'fraction_numerical': 0.024615384615384615, 'mean_word_length': 9.725274725274724, 'pattern_counts': {'":': 0, '<': 21, '<?xml version=': 0, '>': 21, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '5', 'dir': 'jupyter-structured-clean-dedup', 'id': '153036', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 395, 'n_tokens_neox': 368, 'n_words': 58, 'path': 'LinkedIn/LinkedIn_Get_identity_from_profile.ipynb', 'repo_name': 'dineshh912/awesome-notebooks', 'size': '975'}