![Kickstarter Scraper avatar](https://images.apifyusercontent.com/ioVEH48rvC5iG2puhlozvCpYvZako5skueyFg_5VGM0/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS8wanBPT1hRSUFqcGVaeHNFQy82NG0zbjh3bUx1a2NEaHRXQS1oRHdBaDNIU0RGWktlVDJXVy1raWNrc3RhcnRlci53ZWJw.webp)
Kickstarter Scraper
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View all Actors![Kickstarter Scraper](https://images.apifyusercontent.com/ioVEH48rvC5iG2puhlozvCpYvZako5skueyFg_5VGM0/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS8wanBPT1hRSUFqcGVaeHNFQy82NG0zbjh3bUx1a2NEaHRXQS1oRHdBaDNIU0RGWktlVDJXVy1raWNrc3RhcnRlci53ZWJw.webp)
![Kickstarter Scraper](https://images.apifyusercontent.com/ioVEH48rvC5iG2puhlozvCpYvZako5skueyFg_5VGM0/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS8wanBPT1hRSUFqcGVaeHNFQy82NG0zbjh3bUx1a2NEaHRXQS1oRHdBaDNIU0RGWktlVDJXVy1raWNrc3RhcnRlci53ZWJw.webp)
Kickstarter Scraper
qbie/kickstarter-scraper
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Search Kickstarter projects based on your selected criteria and get structured data on matching projects. Download your data as HTML table, JSON, CSV, Excel, XML, and RSS feed. Forked from misceres/kickstarter-search.
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 "maxResults": 50,
9 "category": "All",
10 "sort": "newest",
11 "proxyConfig": { "useApifyProxy": True },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("qbie/kickstarter-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 15 monthly users
- 1 star
- 100.0% runs succeeded
- Created in Mar 2023
- Modified over 1 year ago
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