Forbes Scraper
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Forbes Scraper
7 days trial then $20.00/month - No credit card required now
Scrape news data from forbes.com with this unofficial API. Extract articles, monitor their popularity and performance and automate the fight against fake news. Filter the results by authors, topics, categories, or publication dates. Preview or download the results in your preferred format.
You can access the Forbes 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.
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 "startUrls": [{ "url": "https://www.forbes.com" }],
10 "maxArticlesPerCrawl": 100,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("natasha.lekh/forbes-scraper").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-startForbes Scraper API in Python
The Apify API client for Python is the official library that allows you to use Forbes Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Natasha LekhActor Metrics
4 monthly users
-
1 star
>99% runs succeeded
Created in May 2022
Modified 2 years ago
