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ImageShack Scraper

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ImageShack Scraper

ImageShack Scraper

epctex/imageshack-scraper
Try for free

3 days trial then $10.00/month - No credit card required now

Unlock ImageShack's featured & discovered images effortlessly. Our scraper tool ensures swift data retrieval for your needs.

You can access the ImageShack 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": [
10        "https://imageshack.com/featured",
11        "https://imageshack.com/i/f0e2aa72j",
12        "https://imageshack.com/user/AndrewMcCall",
13        "https://imageshack.com/discover",
14    ],
15    "maxItems": 20,
16    "extendOutputFunction": "($) => { return {} }",
17    "customMapFunction": "(object) => { return {...object} }",
18    "proxy": { "useApifyProxy": True },
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("epctex/imageshack-scraper").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27    print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

ImageShack Scraper API in Python

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

Install the apify-client

pip install apify-client

Other API clients include:

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Actor Metrics

  • 1 monthly user

  • 1 star

  • >99% runs succeeded

  • Created in Sep 2023

  • Modified 2 hours ago