Feedly Scraper
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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
You can access the Feedly Scraper 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.
mscraper
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 = {
9 "language": "en",
10 "topics": ["apple"],
11 "feeds": ["feed/http://nordicapis.com/feed/"],
12 "proxy": {
13 "useApifyProxy": True,
14 "apifyProxyCountry": "US",
15 },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("mscraper/feedly-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-startThe Apify API client for Python is the official library that allows you to use Feedly Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include: