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Feat: Scraping data from Linkedin #929

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1 of 3 tasks
prasannakumarvg opened this issue May 13, 2024 · 8 comments
Closed
1 of 3 tasks

Feat: Scraping data from Linkedin #929

prasannakumarvg opened this issue May 13, 2024 · 8 comments
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gssoc GSSoC 2024

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@prasannakumarvg
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prasannakumarvg commented May 13, 2024

Describe the feature

Linkedin can be scraped to obtain publicly available info about a user like....

Name
Email
Education
Experience
Skills
External links like Portfolio, etc..

We can also scrape details about user under certain keywords.

Under GSsoC'24, i would like to contribute to this repo under this issue @nikhil25803

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@nikhil25803
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Go ahead @prasannakumarvg

Note

  • Please create a separate module for this, as in the folder and project structure (if it is already created, just add your features as functions in the same module).
  • Do not use the `selenium web driver as it is incompatible with all devices and cloud platforms.
  • Before making any changes, please check whether the module you want to add exists. If yes, then you can add your functionality as a method only make a separate module and class for it.

All the best 👨‍💻

@AshishKumarKhandual
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please assign me this project i want to contribute .

@prasannakumarvg prasannakumarvg removed their assignment May 15, 2024
@akashlogics
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i am interested in this issue can you assign to contribute

@kart2004
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Hi @nikhil25803, can you please assign this to me ?

@sophiaodigie1
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Hello @nikhil25803 I am interested into contributing in this project

@Vidulaa05
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Hi @nikhil25803, I am interested in working on this project! I will try my best to complete the required work for this project within the stipulated time. Would you please assign this work to me?

@itssiddhantjain
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##Hello @nikhil25803 , please assign this issue to me as I have already worked on this kind of problem in the past.

@C-Nubela
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C-Nubela commented Jun 5, 2024

Rather than putting the effort into building your own scraping and dealing with bypassing LinkedIn's complex authwall mechanisms (IPs, cookies, browser fingerprinting, etc.), you could use something like Proxycurl, which is a B2B enrichment service that scrapes the data for you. Give it a look and see if that's up your alley.

P.S. Yes, I do work there!

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