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LinkedIn People Profiles, Emails Extractor By URL [ No cookie ]
Pricing
$9.00 / 1,000 profiles
![LinkedIn People Profiles, Emails Extractor By URL [ No cookie ]](https://images.apifyusercontent.com/0tPutrvPL2_RUoebL6mFUG3_ph4jKW75qZYTK6hsPgY/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vNGhJSXhTVmhGYW9abjhmSGcvd05KUkNUcmlRWUNPMEZ4RHQtSW4uanBn.webp)
LinkedIn People Profiles, Emails Extractor By URL [ No cookie ]
Collect complete LinkedIn profile details by scraping profile URLs, including essential information such as basic info, work history, skills, company details, bio, location, and more.
0.0 (0)
Pricing
$9.00 / 1,000 profiles
20
Monthly users
76
Runs succeeded
>99%
Response time
29 days
Last modified
a month ago
🏎 What is LinkedIn People Profiles, Emails Extractor By URL [ No cookie ]?
LinkedIn Profile Extractor is a powerful web scraping tool designed for efficiently extracting LinkedIn profile details. Think of it as an enhanced version of the classic 📍 LinkedIn Scraper, optimized for speed and reliability. Just enter your URL and extract data such as job title, company, location, contact info, and more—all at lightning-fast speeds and a predictable price. 🏎💨 No account needed to start scraping data. Simply input a URL to get detailed information about the profile.
🔎 Key Features of LinkedIn Profile Extractor
- 🗝 Scrape multiple profiles.
- 🏛 No Account Bans
- 📍 Realtime Data
- ⬇️ Export scraped data in formats like Excel, CSV, JSON, and HTML.
- 🦾 API compatibility with Python and Node.js, along with API Endpoints, webhooks, and integration options.
📍 Data Available for Extraction
This tool can extract detailed information, including:
- 📛 Name
- 🌆 City
- 🌍 Country Code
- 📝 About
- 🏢 Current Company (Name and Link)
- 🔗 Profile URL
- 👥 People Also Viewed (Name, About, Location, and Profile Link)
- 🎓 Education Details (Title, URL, Start Year, End Year)
- 🏅 Recommendations Count
- 🖼 Avatar URL
- 💬 Recommendations
- 💼 Volunteer Experience (Title, Cause, Duration, Info, Subtitle)
- 📊 Followers Count
- 🔗 Connections Count
- 📅 Activity (Interaction, Link, Title, Image)
- 🖼 Banner Image URL
- 📧 Contact Info (Email Address, Websites, Twitter, Phone Numbers, Emails)
- 🎓 Education (Degree Name, School Name, Field of Study)
- 🏢 Experience (Company Name, Title, Description, Time Period)
- 🏆 Honors
- 📜 Publications
- 📑 Certifications
- 🌐 Languages
- 🏅 Skills
- 📚 Projects
- 🤝 Volunteer (Role, Company Name, Cause, Description)
💸 Pricing
LinkedIn Profile Extractor operates on a pay-as-you-go model, starting at $9 per 1000 results. Try it for free with an Apify account.
⬇️ Input
To get started, just provide the profile urls, then you good to go!:
1{ 2 "url": [ 3 "https://www.linkedin.com/in/cody-duhon-a29b3465" 4 ] 5}
For a complete guide, check the input tab for JSON formatting details.
⬆️ Output Example
Your extracted data will be displayed in a structured table for easy viewing. Here’s an example JSON output of Aviv Tal:
1[{ 2 "username": "cody-duhon-a29b3465", 3 "contact_info": { 4 "ims": null, 5 "emails": [], 6 "twitter": [], 7 "websites": [], 8 "birthdate": null, 9 "email_address": null, 10 "phone_numbers": [] 11 }, 12 "profile_info": { 13 "elt": false, 14 "honors": [], 15 "skills": [ 16 { 17 "name": "Research" 18 }, 19 { 20 "name": "Laboratory" 21 }, 22 { 23 "name": "Machine Learning" 24 }, 25 { 26 "name": "Clinical Research" 27 } 28 ], 29 "urn_id": "ACoAAA3fJ8EB5Xl8JWlibbdnYUustv0oIubRb1k", 30 "student": false, 31 "headline": "Clinical Trial Manager", 32 "lastName": "Duhon", 33 "location": { 34 "basicLocation": { 35 "countryCode": "us" 36 } 37 }, 38 "projects": [], 39 "education": [ 40 { 41 "school": { 42 "active": true, 43 "logoUrl": "https://media.licdn.com/dms/image/v2/C560BAQEREeDg1PACXA/company-logo_", 44 "entityUrn": "urn:li:fs_miniSchool:19518", 45 "objectUrn": "urn:li:school:19518", 46 "schoolName": "The University of Texas at Austin", 47 "trackingId": "e7cnOebfRsGizftwOBA0Cg==" 48 }, 49 "entityUrn": "urn:li:fs_education:(ACoAAA3fJ8EB5Xl8JWlibbdnYUustv0oIubRb1k,145898494)", 50 "schoolUrn": "urn:li:fs_miniSchool:19518", 51 "degreeName": "Bachelor of Science (B.S.)", 52 "schoolName": "The University of Texas at Austin", 53 "timePeriod": { 54 "endDate": { 55 "year": 2010 56 }, 57 "startDate": { 58 "year": 2006 59 } 60 }, 61 "fieldOfStudy": "Human Biology: Genetics and Biotechnology" 62 } 63 ], 64 "entityUrn": "urn:li:fs_profile:ACoAAA3fJ8EB5Xl8JWlibbdnYUustv0oIubRb1k", 65 "firstName": "Cody", 66 "languages": [], 67 "public_id": "cody-duhon-a29b3465", 68 "volunteer": [], 69 "experience": [ 70 { 71 "title": "Clinical Trial Manager", 72 "company": { 73 "industries": [ 74 "Biotechnology" 75 ], 76 "employeeCountRange": { 77 "end": 500, 78 "start": 201 79 } 80 }, 81 "entityUrn": "urn:li:fs_position:(ACoAAA3fJ8EB5Xl8JWlibbdnYUustv0oIubRb1k,2283563079)", 82 "companyUrn": "urn:li:fs_miniCompany:3210501", 83 "timePeriod": { 84 "startDate": { 85 "year": 2022, 86 "month": 6 87 } 88 }, 89 "companyName": "Astellas Gene Therapies", 90 "companyLogoUrl": "https://media.licdn.com/dms/image/v2/D4D0BAQG80s-Pcqv1Zw/company-logo_" 91 }, 92 { 93 "title": "Senior Clinical Research Associate", 94 "entityUrn": "urn:li:fs_position:(ACoAAA3fJ8EB5Xl8JWlibbdnYUustv0oIubRb1k,1824748531)", 95 "timePeriod": { 96 "endDate": { 97 "year": 2022, 98 "month": 6 99 }, 100 "startDate": { 101 "year": 2017 102 } 103 }, 104 "companyName": "-" 105 }, 106 { 107 "title": "Clinical Research Associate III", 108 "company": { 109 "industries": [ 110 "Pharmaceuticals" 111 ], 112 "employeeCountRange": { 113 "end": 10000, 114 "start": 5001 115 } 116 }, 117 "entityUrn": "urn:li:fs_position:(ACoAAA3fJ8EB5Xl8JWlibbdnYUustv0oIubRb1k,700391511)", 118 "companyUrn": "urn:li:fs_miniCompany:24015", 119 "timePeriod": { 120 "endDate": { 121 "year": 2017 122 }, 123 "startDate": { 124 "year": 2015, 125 "month": 8 126 } 127 }, 128 "companyName": "Medpace", 129 "locationName": "Dallas/Fort Worth Area", 130 "companyLogoUrl": "https://media.licdn.com/dms/image/v2/C4D0BAQGpkjmvNr4wHA/company-logo_", 131 "geoLocationName": "Dallas/Fort Worth Area" 132 }, 133 { 134 "title": "Clinical Research Associate II", 135 "company": { 136 "industries": [ 137 "Pharmaceuticals" 138 ], 139 "employeeCountRange": { 140 "end": 10000, 141 "start": 5001 142 } 143 }, 144 "entityUrn": "urn:li:fs_position:(ACoAAA3fJ8EB5Xl8JWlibbdnYUustv0oIubRb1k,545423044)", 145 "companyUrn": "urn:li:fs_miniCompany:24015", 146 "timePeriod": { 147 "endDate": { 148 "year": 2015, 149 "month": 8 150 }, 151 "startDate": { 152 "year": 2014, 153 "month": 5 154 } 155 }, 156 "companyName": "Medpace", 157 "locationName": "Dallas/Fort Worth Area", 158 "companyLogoUrl": "https://media.licdn.com/dms/image/v2/C4D0BAQGpkjmvNr4wHA/company-logo_", 159 "geoLocationName": "Dallas/Fort Worth Area" 160 }, 161 { 162 "title": "Clinical Research Associate", 163 "geoUrn": "urn:li:fs_geo:90000064", 164 "region": "urn:li:fs_region:(us,64)", 165 "company": { 166 "industries": [ 167 "Biotechnology" 168 ], 169 "employeeCountRange": { 170 "end": 200, 171 "start": 51 172 } 173 }, 174 "entityUrn": "urn:li:fs_position:(ACoAAA3fJ8EB5Xl8JWlibbdnYUustv0oIubRb1k,466459008)", 175 "companyUrn": "urn:li:fs_miniCompany:848981", 176 "timePeriod": { 177 "endDate": { 178 "year": 2014, 179 "month": 5 180 }, 181 "startDate": { 182 "year": 2013, 183 "month": 10 184 } 185 }, 186 "companyName": "XBiotech USA Inc.", 187 "locationName": "Austin, Texas Area", 188 "companyLogoUrl": "https://media.licdn.com/dms/image/v2/D4E0BAQETPsRuVp3HoA/company-logo_", 189 "geoLocationName": "Austin, Texas Area" 190 } 191 ], 192 "member_urn": "urn:li:member:232728513", 193 "profile_id": "ACoAAA3fJ8EB5Xl8JWlibbdnYUustv0oIubRb1k", 194 "geoLocation": { 195 "geoUrn": "urn:li:fs_geo:104472865" 196 }, 197 "industryUrn": "urn:li:fs_industry:70", 198 "profile_urn": "urn:li:fs_miniProfile:ACoAAA3fJ8EB5Xl8JWlibbdnYUustv0oIubRb1k", 199 "industryName": "Research", 200 "publications": [], 201 "geoCountryUrn": "urn:li:fs_geo:103644278", 202 "certifications": [], 203 "geoCountryName": "United States", 204 "geoLocationName": "Austin, Texas", 205 "geoLocationBackfilled": false 206 }, 207 "profile_skills": [ 208 { 209 "name": "Research" 210 }, 211 { 212 "name": "Laboratory" 213 }, 214 { 215 "name": "Machine Learning" 216 }, 217 { 218 "name": "Clinical Research" 219 }, 220 { 221 "name": "Clinical Trials" 222 }, 223 { 224 "name": "GCP" 225 }, 226 { 227 "name": "EDC" 228 }, 229 { 230 "name": "Grant Writing" 231 }, 232 { 233 "name": "Genetics" 234 }, 235 { 236 "name": "Mutational Analysis" 237 }, 238 { 239 "name": "Analysis" 240 }, 241 { 242 "name": "Experimental Design" 243 }, 244 { 245 "name": "Clinical Development" 246 }, 247 { 248 "name": "Science" 249 }, 250 { 251 "name": "Biochemistry" 252 }, 253 { 254 "name": "CRO" 255 }, 256 { 257 "name": "ICH-GCP" 258 }, 259 { 260 "name": "Biotechnology" 261 }, 262 { 263 "name": "Protocol" 264 }, 265 { 266 "name": "PCR" 267 } 268 ] 269}]
For a full preview of fields, check the Storage and Output tabs, and choose the export format that best suits your needs: JSON, CSV, Excel, HTML, or XML.
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$9.00