Kickstarter Scraper avatar
Kickstarter Scraper
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Kickstarter Scraper

Kickstarter Scraper

epctex/kickstarter-scraper
Try for free

3 days trial then $15.00/month - No credit card required now

The ultimate and most all-encompassing Kickstarter tool you'll ever discover. With powerful search features, you can instantly locate and access any live project on Kickstarter.com. Search by location, project status, funding progress, and more. User-friendly, cost-effective, and without limitations

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    "startUrls": [
9        "https://www.kickstarter.com/projects/1460250988/darkest-dungeon-by-red-hook-studios",
10        "https://www.kickstarter.com/discover/categories/games/tabletop%20games",
11        "https://www.kickstarter.com/discover/places/seattle-wa",
12        "https://www.kickstarter.com/profile/alleycatgames",
13        "https://www.kickstarter.com/discover/advanced?term=board+games&category_id=12&pledged=1&goal=1&sort=newest&seed=2832283&next_page_cursor=&page=1",
14    ],
15    "query": "Gadgets",
16    "maxResults": 10,
17    "category": "All",
18    "location": "United States",
19    "sort": "newest",
20    "customMapFunction": "(object) => { return {...object} }",
21    "proxyConfig": {
22        "useApifyProxy": True,
23        "apifyProxyGroups": ["RESIDENTIAL"],
24    },
25}
26
27# Run the Actor and wait for it to finish
28run = client.actor("epctex/kickstarter-scraper").call(run_input=run_input)
29
30# Fetch and print Actor results from the run's dataset (if there are any)
31print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
32for item in client.dataset(run["defaultDatasetId"]).iterate_items():
33    print(item)
34
35# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
  • 7 monthly users
  • 9 stars
  • 96.6% runs succeeded
  • 3.2 hours response time
  • Created in Oct 2018
  • Modified about 8 hours ago