Linkedin profile

Allows you to extract informations from a profile linkedin url. (People & Company) (experiences, educations, about, firstname, lastname, email, phonenumber ...)

Input can also be a search url with results containing linkedin profile you want to extract data from

Enables you to make a first quick filter on all candidacies or leads / prospects

Complementary actions

Add to network in batch - https://apify.com/saswave/network-linkedin-batch-connection-requests Get mutual connections - https://apify.com/saswave/linkedin-mutual-connections-parser Anonymous url to public username - https://apify.com/saswave/linkedin-salesnavigator-anonymous-profile-url-to-username

How to extract cookies from your browser

• install EditThisCookie chrome extension
• login to your account and go to your clearbit home page
• Use the extension and click "export"
• Paste the cookies in the input "cookies" from the actor

The apify documentation has a tutorial on how to do it with screenshots, https://docs.apify.com/tutorials/log-in-by-transferring-cookies#export-your-cookies go to the export your cookies section

Inputs

• cookies: a list of cookies exported to your clipboard with the chrome extension "EditThisCookie" from your session on https://www.linkedin.com/feed/

• Peoples & Companies links: A list of people or/and company url

• Search url: A search url to extract profiles from

• Max results from search: maximum profiles to extract from search

• Ending page number from search: page range to extract profiles from

• Starting page number from search: page range to extract profiles from

Data parsed From people url

followers number	connections number	location
volunteer experiences	experiences	educations
about	firstname	lastname
email	phonenumber	social accounts
account last activities	birthday date	account creation date
pronoun used	account type	creator hashtags
creator website	profile picture url	profile picture filters
profile picture expiry date

Object example

1{
2  "url": "https://www.linkedin.com/in/thomas-l/",
3  "about": "https://apify.com/saswave\nsaswave.com\nhttps://www.malt.fr/profile/thomaslopes\n\nGrowth engineer, software engineer\ndev@saswave.com\nWechat ID: sylwanin",
4  "premium": true,
5  "influencer": "",
6  "creator": "",
7  "pronoun": "",
8  "creator_hashtags": [],
9  "creator_website": {
10    "text": "",
11    "link": ""
12  },
13  "phonenumbers": [],
14  "email": "sousalopes.thomas@gmail.com",
15  "lastName": "Lopes",
16  "firstName": "Thomas",
17  "headline": "",
18  "birthday_ddmm": "11-03",
19  "social_accounts": {},
20  "websites": [],
21  "location": "Paris, Île-de-France, France",
22  "followers": 739,
23  "connections": 746,
24  "volunteer": [],
25  "profile_picture": "https://media.licdn.com/dms/image/v2/D4E03AQGHYv61mAZX1w/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1723101833828?e=1738195200&v=beta&t=7dI8EzfEHhU5XVxZU__2F9yT0arN6riHsNBuVSlZHD4",
26  "profile_picture_expiresAt": "30-01-2025",
27  "profile_picture_type": "ORIGINAL",
28  "profile_picture_saturation": "0.0",
29  "profile_picture_brightness": "0.0",
30  "profile_picture_contrast": "0.0",
31  "languages": [
32    {
33      "language": "English",
34      "level": "Professional working proficiency"
35    },
36    {
37      "language": "French",
38      "level": "Native or bilingual proficiency"
39    }
40  ],
41  "education": [
42    {
43      "months_duration": "",
44      "start_date": "2020",
45      "end_date": "",
46      "description": "Ecole orienté projet. Delivré en python, C, C++, Ocaml, Java, .Net",
47      "title": "EPITECH - European Institute of Technology",
48      "company": "Master’s Degree, Computer Software Engineering",
49      "company_linkedin": "https://www.linkedin.com/company/15108010/",
50      "location": ""
51    },
52    {
53      "months_duration": "",
54      "start_date": "2018",
55      "end_date": "2019",
56      "description": "",
57      "title": "Wuhan University",
58      "company": "Master’s Degree, Computer Software Engineering",
59      "company_linkedin": "https://www.linkedin.com/company/1930731/",
60      "location": ""
61    }
62  ],
63  "experience": [
64    {
65      "months_duration": "2",
66      "start_date": "10-2024",
67      "end_date": "",
68      "description": "Membre du collectif Bulldozer, sur des problématique de:\nautomatisation, scraping, lead generation, backend API, webhooks, workflow, no-code",
69      "title": "Member - Growth Engineer",
70      "company": "Bulldozer",
71      "company_linkedin": "https://www.linkedin.com/company/74995178/",
72      "location": "Paris"
73    },
74    {
75      "months_duration": "16",
76      "start_date": "08-2023",
77      "end_date": "",
78      "description": "SAAS: (work in progress)\n- https://apify.com/saswave\n- Réduire les taches chronophage des équipes marketing, sales et growth (acquisition, enrichissement, automatisation, standardisation)\n\nService de consulting: (Startup - Scaleup - TPE - PME - Autoentrepreneur)\n- Stratégie Growth (acquisition client, enrichissement, amélioration de process opérationnel)\n- Site internet Wordpress - Webflow\n- Scraping de donnée en masse (immobilier, ecommerce ..)\n",
79      "title": "Co-Founder & Growth Engineer",
80      "company": "SASWAVE",
81      "company_linkedin": "https://www.linkedin.com/company/90878032/",
82      "location": "Paris, Île-de-France, France"
83    },
84    {
85      "months_duration": "5",
86      "start_date": "06-2024",
87      "end_date": "10-2024",
88      "description": "Web scraping\nMVP builder\nREST API / Webservices\nConseil strategy growth",
89      "title": "Growth Engineer",
90      "company": "Vibe.co",
91      "company_linkedin": "https://www.linkedin.com/company/76485224/",
92      "location": "Paris, Île-de-France, France"
93    },
94    {
95      "months_duration": "13",
96      "start_date": "07-2022",
97      "end_date": "07-2023",
98      "description": "- Process automation (code / low-code / no-code)\n- Data enrichment / lead scoring (at scale)\n- Runtime optimization (async, multithreading etc ..)\n- Backend / API",
99      "title": "Growth Engineer",
100      "company": "Silvr",
101      "company_linkedin": "https://www.linkedin.com/company/43203799/",
102      "location": "Paris"
103    },
104    {
105      "months_duration": "35",
106      "start_date": "09-2019",
107      "end_date": "07-2022",
108      "description": "Automation task, process development.\nPython, MongoDB, scrapy, selenium, webdriver, burp suite, AWS, Docker.\nGrowth hacking methods",
109      "title": "Growth engineer",
110      "company": "Bruce.work",
111      "company_linkedin": "https://www.linkedin.com/company/12898657/",
112      "location": "Paris - France"
113    },
114    {
115      "months_duration": "26",
116      "start_date": "01-2018",
117      "end_date": "02-2020",
118      "description": "Working on a 3 year project with 6 other students from EPITECH.\nMy main role was product owner.",
119      "title": "Project manager / Product owner",
120      "company": "Epitech - EIP project",
121      "company_linkedin": "https://www.linkedin.com/company/15108010/",
122      "location": "Paris - France"
123    },
124    {
125      "months_duration": "9",
126      "start_date": "11-2016",
127      "end_date": "07-2017",
128      "description": "Web crawler with scrapy or selenium.\nTest and task automation, scripting.\nPython, shell, linux, SQL, git, ssh, server",
129      "title": "Python Developer - Data mining",
130      "company": "NPA CONSEIL",
131      "company_linkedin": "https://www.linkedin.com/company/40842/",
132      "location": "Paris - France"
133    },
134    {
135      "months_duration": "4",
136      "start_date": "09-2015",
137      "end_date": "12-2015",
138      "description": "Using intern softwares to feed data to the neural network working on face recognition",
139      "title": "Data trainee",
140      "company": "Context",
141      "company_linkedin": "https://www.linkedin.com/company/5001282/",
142      "location": "Paris"
143    }
144  ],
145  "social_activity": [
146    {
147      "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7259232975463108609",
148      "nb_comments": 1,
149      "nb_likes": 12,
150      "reacted": null,
151      "date": "2024-11-04 16:00:11.377000",
152      "days_from_today": 22,
153      "timestamp": 1730736011.377
154    },
155    {
156      "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7266797792512159744",
157      "nb_comments": 0,
158      "nb_likes": 8,
159      "reacted": null,
160      "date": "2024-11-25 13:00:04.309000",
161      "days_from_today": 1,
162      "timestamp": 1732539604.309
163    },
164    {
165      "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7258149543395966976",
166      "nb_comments": 1,
167      "nb_likes": 4,
168      "reacted": null,
169      "date": "2024-11-01 16:15:01.043000",
170      "days_from_today": 25,
171      "timestamp": 1730477701.043
172    }
173  ]
174}

Data parsed from company url

active status	linkedin id	linkedin name
company name	linkedin	website
phonenumber	description	tagline
linkedin employees range	linkedin employees number	company founding date
linkedin job url	followers	cta url
expertises	area	country
postalcode	city	street address
hastags	industries	profile picture url
profile picture expiry date

Object example

1{
2  "is_active": true,
3  "lk_id": "164716",
4  "lk_name": "les-echos",
5  "company_name": "Les Echos",
6  "linkedin": "https://www.linkedin.com/company/les-echos",
7  "website": "lesechos.fr",
8  "phonenumber": "",
9  "description": "Retrouvez sur LesEchos.fr toute l'actualité économique et financière en France et dans le monde, découvrez des analyses exclusives, dossiers spéciaux, décryptages, chroniques et grands formats.",
10  "tagline": "",
11  "lk_employees_range": "201-500",
12  "lk_employees": 753,
13  "founding_date": "1908",
14  "lk_job_url": "https://www.linkedin.com/jobs/search?geoId=92000000&f_C=164716%2C2915620",
15  "followers": 821771,
16  "cta_url": "https://abonnement.lesechos.fr/?gclid=CjwKCAiAu5agBhBzEiwAdiR5tMLFWDAOTXk1Q6_fP-oRPMlXK4jF29duOu8wrntpsU13hu4OdZvEzxoCQvYQAvD_BwE",
17  "expertises": "http://www.lesechos.fr/",
18  "area": "Île-de-France",
19  "country": "FR",
20  "postalcode": "75015",
21  "city": "Paris",
22  "street_address": "10, Boulevard de Grenelle",
23  "hashtags": "economie, entreprise, frenchtech",
24  "industries": "Newspapers",
25  "profile_picture": "https://media.licdn.com/dms/image/v2/C4D0BAQGU2tYAtnGruQ/company-logo_400_400/company-logo_400_400/0/1630504365985/les_echos_logo?e=1740009600&v=beta&t=xQ-77CFIqKbficw4Tz9M0T-loRsyqZ3BRQrCYq8J1iM",
26  "profile_picture_expiresAt": "20-02-2025"
27}