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To collect a large enough amount of data for analysis purposes, it will take time if done manually. \n\n### Approach to the problem:\nTo efficiently collect and cluster Linkedin profiles data, this scrip helps automatically scrape the web data of people profiles on Linkedin based on a specific search query and store the output in a CSV file\n\n---\n### Sponsor\n[\u003cimg src=\"https://github.com/boringPpl/Linkedin-profiles-scraping/assets/44963656/74346dc1-a788-413d-a70f-95a1a70ecd67\" width=\"330\"/\u003e](https://nubela.co/proxycurl?utm_campaign=influencer_marketing\u0026utm_source=github\u0026utm_medium=social\u0026utm_content=daphne_linkedin_profiles_scraping\n)\n\nScrape public LinkedIn profile data at scale with [Proxycurl APIs](https://nubela.co/proxycurl?utm_campaign=influencer_marketing\u0026utm_source=github\u0026utm_medium=social\u0026utm_content=daphne_linkedin_profiles_scraping\n).\n- Scraping Public profiles are battle tested in court in HiQ VS LinkedIn case.\n- GDPR, CCPA, SOC2 compliant\n- High rate Limit - 300 requests/minute\n- Fast APIs respond in ~2s\n- Fresh data - 88% of data is scraped real-time, other 12% are not older than 29 days\n- High accuracy\n- Tons of data points returned per profile\n\nBuilt for developers, by developers.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fboringppl%2Flinkedin-profiles-scraping","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fboringppl%2Flinkedin-profiles-scraping","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fboringppl%2Flinkedin-profiles-scraping/lists"}