# Crypto Airdrops Scraper - Active & Upcoming Token Airdrops (`scrapers_lat/crypto-airdrops-scraper`) Actor
Scrape active, upcoming and claimable crypto airdrops with project name, token ticker, status, reward actions, eligibility requirements, key dates, official website and social links. Filter by status and chain. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/crypto-airdrops-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Business, Developer tools, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.20 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Crypto Airdrops Scraper - Active & Upcoming Token Airdrops
> Track every active, upcoming and claimable crypto airdrop in one place. Get the project, token ticker, status, reward actions, eligibility requirements, key dates, official website and social links as clean structured data for research, alerts and farming.
Active & upcoming airdrops in one run
Token, dates & tasks plus eligibility
JSON / CSV / Excel output formats
### Who is it for
| Use case | Who benefits |
|---|---|
| Airdrop farming | Hunters tracking every live and upcoming drop and its tasks |
| Alerts and bots | Builders sending notifications when new drops appear |
| Research | Analysts studying incentive campaigns across chains |
| Dashboards | Teams feeding a live airdrop feed into their own app |
### How to use it
1. Pick one or more **statuses** (active, confirmed, upcoming, claimable). One run can cover several at once.
2. Optionally add a **chains** filter (for example `ethereum`, `solana`, `base`) to keep only matching drops.
3. Set **Max Airdrops To Scrape** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**What is the difference between the statuses?**
Active drops are live now, confirmed drops have an officially announced token, upcoming drops are speculative or potential retroactive drops, and claimable drops have tokens you can claim today.
**Can I get airdrops for one chain only?**
Yes. Add the chain names to the chains filter and only airdrops detected on those chains are returned.
**Does it include eligibility requirements?**
Yes. Each record lists the required actions and platforms (Twitter, Telegram, Discord, KYC and more) plus a plain-language eligibility summary.
**How fresh is the data?**
Airdrops are read live at run time, so each record reflects the listing at the moment of the run (see observedAt).
### Related scrapers
- [Polymarket Prediction Markets & Odds Scraper](https://apify.com/scrapers_lat/polymarket-markets-scraper)
- [Yahoo Finance Scraper](https://apify.com/scrapers_lat/yahoo-finance-scraper)
- [Google News Scraper](https://apify.com/scrapers_lat/google-news-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with any airdrop project or aggregator. It only accesses publicly available information. Always verify airdrops on the official project channels and use the results in accordance with the source's terms.
# Actor input Schema
## `statuses` (type: `array`):
One run can cover several airdrop states. Choose any of: active (live airdrops open now), confirmed (officially confirmed token airdrops), upcoming (speculative / potential retroactive airdrops), claimable (tokens you can claim now). Add as many as you want.
## `chains` (type: `array`):
Optional. Keep only airdrops whose detected blockchain matches one of these, for example ["ethereum", "solana", "base"]. Leave empty to include every chain.
## `includeDetails` (type: `boolean`):
When enabled (default), each airdrop is enriched with token ticker, description, key dates, official website and social links from its detail page. Disable for a faster, lighter run with just the listing fields.
## `maxAirdrops` (type: `integer`):
Maximum number of airdrops to collect across all selected statuses.
## Actor input object example
```json
{
"statuses": [
"active",
"upcoming"
],
"chains": [],
"includeDetails": true,
"maxAirdrops": 30
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# 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 = {
"statuses": [
"active",
"upcoming"
],
"chains": [],
"maxAirdrops": 30
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/crypto-airdrops-scraper").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 = {
"statuses": [
"active",
"upcoming",
],
"chains": [],
"maxAirdrops": 30,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/crypto-airdrops-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"statuses": [
"active",
"upcoming"
],
"chains": [],
"maxAirdrops": 30
}' |
apify call scrapers_lat/crypto-airdrops-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/crypto-airdrops-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Crypto Airdrops Scraper - Active & Upcoming Token Airdrops",
"description": "Scrape active, upcoming and claimable crypto airdrops with project name, token ticker, status, reward actions, eligibility requirements, key dates, official website and social links. Filter by status and chain. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "bM5Vvhdz0SrTXf4E3"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~crypto-airdrops-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-crypto-airdrops-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~crypto-airdrops-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-crypto-airdrops-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~crypto-airdrops-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-crypto-airdrops-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"statuses": {
"title": "Airdrop Statuses",
"type": "array",
"description": "One run can cover several airdrop states. Choose any of: active (live airdrops open now), confirmed (officially confirmed token airdrops), upcoming (speculative / potential retroactive airdrops), claimable (tokens you can claim now). Add as many as you want.",
"default": [
"active",
"upcoming"
],
"items": {
"type": "string"
}
},
"chains": {
"title": "Chains Filter",
"type": "array",
"description": "Optional. Keep only airdrops whose detected blockchain matches one of these, for example [\"ethereum\", \"solana\", \"base\"]. Leave empty to include every chain.",
"items": {
"type": "string"
}
},
"includeDetails": {
"title": "Enrich With Airdrop Details",
"type": "boolean",
"description": "When enabled (default), each airdrop is enriched with token ticker, description, key dates, official website and social links from its detail page. Disable for a faster, lighter run with just the listing fields.",
"default": true
},
"maxAirdrops": {
"title": "Max Airdrops To Scrape",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of airdrops to collect across all selected statuses."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```