![Feedly Scraper avatar](https://images.apifyusercontent.com/q_fYb5xBEHWMWR8xMkO0p3GT8LnYCotCZbEhKOnpb2Y/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9RN0FnN1JSM2E2UHVjaHRDcS9mY1hIZ1RuZmdHTVJwRlN6ZC1TY3JlZW5zaG90XzIwMjMtMDYtMjVfYXRfMjAuMjMuMTAucG5n.webp)
Feedly Scraper
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View all Actors![Feedly Scraper](https://images.apifyusercontent.com/q_fYb5xBEHWMWR8xMkO0p3GT8LnYCotCZbEhKOnpb2Y/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9RN0FnN1JSM2E2UHVjaHRDcS9mY1hIZ1RuZmdHTVJwRlN6ZC1TY3JlZW5zaG90XzIwMjMtMDYtMjVfYXRfMjAuMjMuMTAucG5n.webp)
![Feedly Scraper](https://images.apifyusercontent.com/q_fYb5xBEHWMWR8xMkO0p3GT8LnYCotCZbEhKOnpb2Y/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9RN0FnN1JSM2E2UHVjaHRDcS9mY1hIZ1RuZmdHTVJwRlN6ZC1TY3JlZW5zaG90XzIwMjMtMDYtMjVfYXRfMjAuMjMuMTAucG5n.webp)
Feedly Scraper
mscraper/feedly-scraper
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14 days trial then $4.00/month - No credit card required now
Feedly Scraper is a specialized web scraping tool designed to extract news from Feedly. The scraper exports the accumulated data to various formats like JSON, XML, CSV, or Excel
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 "language": "en",
9 "topics": ["apple"],
10 "feeds": ["feed/http://nordicapis.com/feed/"],
11 "proxy": {
12 "useApifyProxy": True,
13 "apifyProxyCountry": "US",
14 },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("mscraper/feedly-scraper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start