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Audible Scraper

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$30.00/month

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Audible Scraper

Audible Scraper

mscraper/audible-scraper
Try Actor

$30.00/month

Extract data from Amazon's audiobook and podcast service Audible. Extract data straight from Audible Best Sellers. Scrape prices, descriptions, ratings, reviews, and other data from the results, which you can export in a number of dataset formats.

You can access the Audible 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.audible.com/adblbestsellers?overrideBaseCountry=true&ipRedirectOverride=true" }],
10    "proxy": {
11        "useApifyProxy": True,
12        "apifyProxyCountry": "US",
13    },
14    "maxPageNumber": 0,
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("mscraper/audible-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

Audible Scraper API in Python

The Apify API client for Python is the official library that allows you to use Audible Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 2 monthly users
  • 2 stars
  • 100.0% runs succeeded
  • 1.9 days response time
  • Created in May 2023
  • Modified 3 months ago
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