# Kickstarter Explorer (`jupri/kickstarter`) Actor đź’« Scrape Kickstarter.com Campaigns - **URL**: https://apify.com/jupri/kickstarter.md - **Developed by:** [cat](https://apify.com/jupri) (community) - **Categories:** Other - **Features:** Full permissions - **Stats:** 106 total users, 5 monthly users, 99.9% runs succeeded, 10 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## đź’« Welcome to Kickstarter Scraper ![dont be sad readme is here](https://raw.githubusercontent.com/JupriGH/resources/main/cats/catframe.png) ### đź’° About Kickstarter.com **Kickstarter, PBC** is an American [public benefit corporation](https://en.wikipedia.org/wiki/Benefit_corporation "Benefit corporation")[\[2\]](https://en.wikipedia.org/wiki/Kickstarter#cite_note-2) based in [Brooklyn](https://en.wikipedia.org/wiki/Brooklyn "Brooklyn"), [New York](https://en.wikipedia.org/wiki/New_York_\(state\) "New York (state)"), that maintains a global [crowdfunding](https://en.wikipedia.org/wiki/Crowdfunding "Crowdfunding") platform focused on creativity.[\[3\]](https://en.wikipedia.org/wiki/Kickstarter#cite_note-CanadianPress2013-3) The company's stated mission is to "help bring creative projects to life".[\[4\]](https://en.wikipedia.org/wiki/Kickstarter#cite_note-4) As of February 2023, Kickstarter has received US$7 [billion](https://en.wikipedia.org/wiki/Billion "Billion") in pledges from 21.7 million backers to fund 233,626 projects, such as films, music, stage shows, comics, journalism, video games, board games, technology, publishing, and food-related projects.[\[5\]](https://en.wikipedia.org/wiki/Kickstarter#cite_note-5) People who back Kickstarter projects are offered tangible rewards or experiences in exchange for their pledges.[\[6\]](https://en.wikipedia.org/wiki/Kickstarter#cite_note-6) This model traces its roots to subscription model of arts patronage, in which artists would go directly to their audiences to fund their work.[\[7\]](https://en.wikipedia.org/wiki/Kickstarter#cite_note-7) ### đź’° About This Actor đź’« All-In-One Kickstarter.com Scraper ### đź’° Basic Usage đź’ˇ Search for campaigns by `KEYWORDS` ```yaml { "query": ["mission impossible"], "limit": 50 } ``` đź’ˇ Search for campaigns by `URL` ```yaml { "query": [ "https://www.kickstarter.com/discover/advanced?term=mission+impossible&category_id=10&pledged=0&sort=most_funded" ], "limit": 50 } ``` đź’ˇ Get campaign info by `URL` ```yaml { "query": ["https://www.kickstarter.com/projects/262426195/aceii-one-your-ai-tennis-hitting-partner"] } ``` đź’ˇ Get campaign info by `Project ID` (`PID`) ```yaml { "query": ["811950944"] } ``` đź’ˇ Get multiple campaign info by `Project ID` (`PID`) ```yaml { "query": ["811950944", "111111", "222222", "333333"] } ``` đź’ˇ Get only campaign **Story** ```yaml { "query": ["811950944/story"] } ``` đź’ˇ Scrape a campaign **Comments** ```yaml { "query": ["811950944/comments"], "limit": 100 } ``` đź’ˇ Scrape a campaign **Timeline** ```yaml { "query": ["811950944/timeline"], "limit": 50 } ``` đź’ˇ Additional Data ```yaml { "query": ["mission impossible"], "limit": 50, "include.ai_disclose": true, "include.collab": true, "include.comments": 5, "include.creator": true, "include.envcom": true, "include.faqs": true, "include.replies": 5, "include.rewards": true, "include.risks": true, "include.story": true, "include.video": true, } ``` ### đź’° Output Examples ***Campaign Search Entry*** ```yaml [ { "backers": 2, "cardTypes": [ "VISA", "MASTERCARD", "AMEX", "DISCOVER", "JCB", "DINERS", "UNIONPAY" ], "category": { "name": "Apps", "parent": { "name": "Technology", "slug": "technology" }, "slug": "apps" }, "commentsCount": 1, "country": { "code": "US", "name": "the United States" }, "createdAt": 1750961916, "creator": { "id": "742770165", "image": "https://i.kickstarter.com/assets/049/828/842/872e2afd6c27d4c23715985ab99a139e_original.png?anim=false&fit=cover&height=160&origin=ugc&q=92&v=1750961560&width=160&sig=SyK50JSKxZGyez3UxEGIKyK%2FN5XHk1J3ETy1K8WMGio%3D", "name": "ReMotion AI" }, "currency": "USD", "deadlineAt": 1763144728, "description": "The Sprint Coach in Your Pocket - Patent Pending Technology", "goal": "10000.0", "image": { "url": "https://i.kickstarter.com/assets/051/184/269/a8106dabdfc2510a2f7cfe4097b869c3_original.png?anim=false&fit=cover&gravity=auto&height=576&origin=ugc&q=92&v=1760037201&width=1024&sig=p1%2FpGHaTDaGWJRIwsr12z6HTp4L8ld%2BETt1%2BQFJbTQA%3D" }, "isLaunched": true, "isProjectOfTheDay": false, "isProjectWeLove": false, "launchedAt": 1760549128, "location": { "country": "US", "displayableName": "North Atlanta, GA", "id": "TG9jYXRpb24tMjQ2MDU5NA==", "name": "North Atlanta" }, "name": "ReMotion AI", "pid": "710184789", "pledged": "295.0", "slug": "remotionai/remotion-ai", "state": "LIVE", "stateChangedAt": 1760549133, "timelineCount": 1, "url": "https://www.kickstarter.com/projects/remotionai/remotion-ai", "verifiedIdentity": "Bradley Moon" } ] ``` ***Campaign Story*** (`include.story = true`) ```yaml --- "pid": "710184789", "story": "

The Why

As a sprint coach, my passion is developing athletes—meeting them where they are and watching them progress over time.

But I kept coming back to one big question:
How can I give the same value to someone who is not right in front of me?

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I think about the athlete who trains alone without feedback. Or the coach who is stretched thin, wishing they could analyze every block start or sprint rep, but simply doesn’t have the time. And let’s be real—many coaches, like me, have day jobs. We cannot always be at every practice.

From the athlete’s perspective, the problem is just as real. What if you don’t have a coach? Or you’re traveling, or on school break? How do you keep improving without guidance?

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That’s why we’re building ReMotion—your sprint coach in your pocket.

ReMotion uses AI-powered video analysis to give athletes feedback anytime, anywhere. It helps athletes see exactly what’s happening in their sprint, coaches multiply their impact without slowing down practice, and parents feel confident their kids are improving safely.

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We’re raising funds on Kickstarter to bring this vision to life:

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This project started with a simple coaching problem, but with your help, it can become a solution for athletes and coaches everywhere. Together, we can make sprinting feedback accessible to anyone, anywhere.

To learn more about me and the work we do, you can follow along here:

Instagram: @sprintfreetraining

" --- ``` ***Campaign AI Disclosure*** (`include.ai_disclose = true`) ```yaml --- "aiDisclosure": { "fundingForAiAttribution": null, "fundingForAiConsent": null, "fundingForAiOption": null, "generatedByAiConsent": "We do not train new models or collect third-party datasets for this project. When we use input assets (reference photos, footage, textures, music) for image-to-image or editing, they are our originals or properly licensed/royalty-free materials, or used with written permission (e.g., student work and likeness releases). We only use vendors whose Terms grant commercial rights to course creators for outputs. We keep license/consent records and won’t upload copyrighted works without permission.", "generatedByAiDetails": "Our course materials and marketing assets include AI-generated images and short videos produced with licensed tools (e.g., Midjourney/Stable Diffusion/Runway/ComfyUI). These appear in lesson demos, thumbnails, the Kickstarter video, and 4 student showcase clips. All outputs are human-directed, curated, and edited; we do not mimic living artists’ styles or depict private individuals without permission.", "involvesAi": true, "involvesFunding": false, "involvesGeneration": true, "involvesOther": true, "otherAiDetails": "The platform includes an on-call learning assistant (“Astra”) that uses reputable LLM APIs to help learners find modules, summarize lessons, and answer how-to questions based solely on our course content and public documentation. No biometric data is collected; backer/student data is not used to train models. We also use AI for captions/transcripts and copy polishing, with all materials human-reviewed before publication." } --- ``` ### 🎯 Support ⚡️ Feel free to [reach out](https://console.apify.com/actors/dQwUboKfTtC3c12Uc/issues) to the developer for any issues or suggestions for improvement. # Actor input Schema ## `query` (type: `array`): 💡 KEYWORDS or Campaign PID or URL ## `example` (type: `string`): 💡Query Examples ## `limit` (type: `integer`): 💡 Limit number of results ## `sort` (type: `string`): No description ## `include.all` (type: `boolean`): 💡 Includes All ## `include.creator` (type: `boolean`): 💡 More detailed creator info. ## `include.collab` (type: `boolean`): No description ## `include.risks` (type: `boolean`): No description ## `include.envcom` (type: `boolean`): No description ## `include.story` (type: `boolean`): 💡 WARNING: could increase output size significantly ## `include.rewards` (type: `boolean`): No description ## `include.faqs` (type: `boolean`): 💡 Frequently Asked Questions. ## `include.video` (type: `boolean`): No description ## `include.ai_disclose` (type: `boolean`): No description ## `include.comments` (type: `integer`): 💡 Max. Number of comments. ## `include.replies` (type: `integer`): 💡 Max. Number of comment replies. ## `category` (type: `string`): 💡 Category ID ## `location` (type: `string`): 💡 Location Name or ID ## `state` (type: `string`): No description ## `staff_picks` (type: `boolean`): No description ## `goal` (type: `string`): No description ## `pledged` (type: `string`): No description ## `raised` (type: `string`): No description ## `dev_proxy_config` (type: `object`): 💡 Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

Example: socks5://example.com:9000 ## `dev_custom_headers` (type: `array`): đź’ˇ Additional HTTP Headers ## `dev_custom_cookies` (type: `array`): đź’ˇ Additional HTTP Cookies ## `dev_transform_fields` (type: `array`): đź’ˇ Transform the resulting output. Select only needed fields.

For nested object use DOT. For example: 
address.streetAddress

For nested array use NUMBER (index of array element starting from index=0). For example: 
images.0.url
## `dev_dataset_name` (type: `string`): đź’ˇ Save results into custom named Dataset, use mask to customize dataset name

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)

This masks can be used to autogenerate Dataset Name.

example: data-{DATE}
Depending on today date the dataset name will be: data-20230603

default: data-{ACTOR}-{DATE}-{TIME} ## `dev_dataset_clear` (type: `boolean`): Clear Dataset before insert/update. ## `dev_no_strip` (type: `boolean`): 💡 Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING) ## `dev_fileupload` (type: `string`): 💡 Upload your file and copy & paste the URL somewhere. ## Actor input object example ```json { "query": [ "Mission impossible" ], "limit": 5 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "query": [ "Mission impossible" ], "limit": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("jupri/kickstarter").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "query": ["Mission impossible"], "limit": 5, } # Run the Actor and wait for it to finish run = client.actor("jupri/kickstarter").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": [ "Mission impossible" ], "limit": 5 }' | apify call jupri/kickstarter --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,jupri/kickstarter" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/dQwUboKfTtC3c12Uc/builds/3XK72hbFPfsgtD62W/openapi.json