![Linkedin post reactions scraper avatar](https://images.apifyusercontent.com/XBJQjhgBkvU8a4_TkNu2RwGvxGe_-Nkb3MDbDSR5oE0/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9HRzhYNWEycmxoY0FUNllvOS9IakN6TFFqSGlSS0ZNUEw2Sy1MaW5rZWRpbi5wbmc.webp)
Linkedin post reactions scraper
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3 days trial then $13.00/month - No credit card required now
View all Actors![Linkedin post reactions scraper](https://images.apifyusercontent.com/XBJQjhgBkvU8a4_TkNu2RwGvxGe_-Nkb3MDbDSR5oE0/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9HRzhYNWEycmxoY0FUNllvOS9IakN6TFFqSGlSS0ZNUEw2Sy1MaW5rZWRpbi5wbmc.webp)
![Linkedin post reactions scraper](https://images.apifyusercontent.com/XBJQjhgBkvU8a4_TkNu2RwGvxGe_-Nkb3MDbDSR5oE0/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9HRzhYNWEycmxoY0FUNllvOS9IakN6TFFqSGlSS0ZNUEw2Sy1MaW5rZWRpbi5wbmc.webp)
Linkedin post reactions scraper
curious_coder/linkedin-post-reactions-scraper
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3 days trial then $13.00/month - No credit card required now
Scrape reactions or likes from linkedin post
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "startPage": 1,
9 "minDelay": 2,
10 "maxDelay": 5,
11 "proxy": {
12 "useApifyProxy": True,
13 "apifyProxyGroups": ["RESIDENTIAL"],
14 "apifyProxyCountry": "US",
15 },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("curious_coder/linkedin-post-reactions-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24 print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 34 monthly users
- 1 star
- 84.4% runs succeeded
- 19 hours response time
- Created in Jul 2023
- Modified 4 days ago
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