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/). Find out more here:https://nubela.co/blog/linkdb-an-exhaustive-dataset-of-linkedin-members-and-companies/

Proxycurl's APIs
Proxycurl has the following APIs which can be used for different purposes, the APIs are as follows:

1. Company API
2. Contact API
3. Jobs API
4. People API
5. School API
6. Reveal API

7. Meta API

8. 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.

9. 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.

10. Job API: Job API offers the ability to get details about a job and list of open positions in a company.

11. 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.

12. School API: The school API can be used to get information relating to a school (like the schools's location, their profile picture, etc).

13. Reveal API: This API contains an endpoint to reveal the owner of a company's IPV4 address.

14. 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 thepricing 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 commandpip 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.