Content
- Getting Started
- Proxycurl's APIs
- Proxycurl's Python SDK
- Conclusion
Getting Started
Have you thought about how to get insights on jobs, people and companies, etc on LinkedIn without worrying about scaling a web scraping and data-science team? Proxycurl is enriched with APIs and libraries that can be used to look up people, companies, enrich people's profile, enrich people's profile and look up contact information about a business or people (link to Proxycurl here: https://nubela.co/proxycurl/).
Proxycurl's APIs
Proxycurl has the following APIs which can be used for different purposes, the APIs are as follows:
- Company API
- Contact API
- Jobs API
- People API
- School API
- Reveal API
Meta API
Company API: This API contains endpoints that can be used to get the list of employees, count of employees, office location of the company, etc.
Contact API: With this API, you can get information about a person's [work email address, profile url, list of a person's contact number, list of a person's email, etc.
Job API: Job API offers the ability to get details about a job and list of open positions in a company.
People API: The people API can be used to extract a person's information from LinkedIn. Information like a person's profile information (picture, job history, etc) and a person's LinkedIn profile url.
School API: The school API can be used to get information relating to a school (like the schools's location, their profile picture, etc).
Reveal API: This API contains an endpoint to reveal the owner of a company's IPV4 address.
Meta API: This API is not really related to LinkedIn, it is used to get the balance of your Proxycurl wallet.
When you sign up with Proxycurl, you get a free instant 10 credit to make API calls. View the pricing for each of the endpoints available.
Proxycurl's Python SDK
Apart from this APIs, Proxycurl also has a Python SDK which can be used for looking up people, companies, enrich people's profile, etc.
It can be installed using the command pip install proxycurl-py.
Proxycurl supports asyncio, gevent and twisted concurrency models.
They can be installed using the following commands:
With asyncio
$ pip install 'proxycurl[asyncio]'
With gevent
$ pip install 'proxycurl[gevent]'
With twisted
$ pip install 'proxycurl[twisted]'
Conclusion
With Proxycurl, you can build and scale data-driven applications on people and companies without worrying about scaling a web scraping and data-science team. This can help in accelerating growth-stage startups sales and marketing automation. Find out more here: https://nubela.co/blog/linkdb-an-exhaustive-dataset-of-linkedin-members-and-companies/
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