Linkedin Company Parser With Companies Suggestions
3 days trial then $25.00/month - No credit card required now
Linkedin Company Parser With Companies Suggestions
3 days trial then $25.00/month - No credit card required now
Extract infos related to a company linkedin page (name, website, phonenumber, location, description, hashtag, employee range, linkedin employee, linkedin company job url, followers, crunchbase funding data and infos related to other companies from linkedin suggestions on the same sector)
You can access the Linkedin Company Parser With Companies Suggestions programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "companies": [
9 "https://www.linkedin.com/company/financial-times/",
10 "https://www.linkedin.com/company/les-echos/",
11 ] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("saswave/linkedin-company-parser-with-companies-suggestions").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startLinkedin Company Parser With Companies Suggestions API in Python
The Apify API client for Python is the official library that allows you to use Linkedin Company Parser With Companies Suggestions API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
SASWAVE- 4 monthly users
- 3 stars
- 28.6% runs succeeded
- Created in Oct 2023
- Modified 29 days ago
