# Pump.fun New Token Listings Scraper (`devilscrapes/pump-fun-new-listings-scraper`) Actor

Pull new Solana token listings from pump.fun's live coin-feed API — mint address, name, symbol, market cap, and listing timestamp for every fresh launch, sorted newest-first, deduplicated, and delivered as clean typed rows.

- **URL**: https://apify.com/devilscrapes/pump-fun-new-listings-scraper.md
- **Developed by:** [DevilScrapes](https://apify.com/devilscrapes) (community)
- **Categories:** Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 token row emitteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## 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

<div align="center">
  <img src=".actor/icon.svg" width="160" alt="Devil Scrapes mark" />

## Pump.fun New Token Listings Scraper

**💰 $3.20 / 1 000 token listings**  ·  pay only for results  ·  no credit card to try

*We do the dirty work so your dataset stays clean.* 😈

Pull new Solana token listings from pump.fun's live coin-feed API — mint address, name, symbol, market cap, and listing timestamp for every fresh launch, sorted newest-first, deduplicated, and delivered as clean typed rows.

</div>

***

### 🎯 What this scrapes

pump.fun's public, unauthenticated coin-feed API answers with the newest Solana token launches the moment they hit the chain. This Actor calls that same feed directly — <code>frontend-api-v3.pump.fun/coins</code> — and turns paginated JSON pages into deduplicated, typed rows: mint address, name, symbol, market cap, and a listing timestamp, sorted newest-first by default.

### 🔥 What we handle for you

- 🔁 **Retries with exponential backoff** on `408 / 429 / 5xx` and network errors — up to 5 attempts, `Retry-After` honoured.
- 🧩 **Run-wide dedup by mint** — no duplicate tokens in your dataset even if the feed shifts mid-run.
- 🧱 **Fail-loud on schema drift** — if pump.fun changes this endpoint's shape, we stop and tell you instead of shipping garbage rows.
- 🧊 **Clean, typed dataset rows** — Pydantic-validated, ISO-8601 timestamps, JSON / CSV / Excel export straight from the Apify Console.
- 💰 **Pay-Per-Event pricing** — you only pay for token rows that land in your dataset.

### 💡 Use cases

- Memecoin sniping — catch freshly listed Solana tokens before the crowd.
- On-chain analytics — feed a clean, deduplicated listings stream into your own pipeline.
- Trading bots — poll a stable, typed feed instead of reverse-engineering pump.fun's frontend.
- Market research — track new-listing volume and market-cap distribution over time.

### ⚙️ How to use it

1. Click **Try for free** at the top of the page.
2. Fill in the input form — most fields have sensible defaults.
3. Click **Start**. Output streams into the run's dataset.
4. Export from **Storage → Dataset** as JSON, CSV, or Excel — or fetch via the API.

### 📥 Input

| Field | Type | Required | Default | Notes |
|---|---|:--:|---|---|
| `sort` | `string` | no | 'created\_timestamp' | Sort key for the feed. Only <code>created\_timestamp</code> is proven live — new-listings order. |
| `order` | `string` | no | 'DESC' | <code>DESC</code> = newest first, <code>ASC</code> = oldest first. |
| `maxItems` | `integer` | no | 100 | Total rows to collect across paged requests. The default of 100 walks at least 5 pages at the default page size, so… |
| `pageSize` | `integer` | no | 20 | Records requested per page — the API's own <code>limit</code> parameter. |
| `minMarketCap` | `number` | no | '—' | Optional client-side filter on <code>usd\_market\_cap</code>, applied to rows already fetched from the sort-ordered feed.… |
| `maxMarketCap` | `number` | no | '—' | Optional client-side filter on <code>usd\_market\_cap</code>. Must be ≥ minimum market cap when both are set. Leave empty… |
| `proxyConfiguration` | `object` | no | {'useApifyProxy': True} | Apify Proxy routing. The target is unauthenticated and unfingerprinted, so no proxy group is required by default. |

#### Example input

```json
{
  "sort": "created_timestamp",
  "order": "DESC",
  "maxItems": 5,
  "pageSize": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

### 📤 Output

Every row is one dataset item.

| Field | Type | Notes |
|---|---|---|
| `mint` | `string` | Solana token mint address — the stable dedup key. |
| `name` | `string` | Token name. |
| `symbol` | `string` | Token ticker symbol. |
| `market_cap` | `number` | Market cap in the token's native bonding-curve unit. |
| `usd_market_cap` | `number` | Market cap converted to USD. |
| `created_timestamp` | `integer` | Listing creation time, epoch milliseconds as returned by the API. |
| `created_at_iso` | `string` | created\_timestamp converted to ISO-8601 UTC. |
| `scraped_at` | `string` | ISO-8601 UTC timestamp at row creation. |

#### Example output

```json
{
  "mint": "FKSFbadbbSTHGKudX8KhF7uKQc2AtycJV4yxpKbkpump",
  "name": "rose",
  "symbol": "rose",
  "market_cap": 16.405264701604676,
  "usd_market_cap": 1775.2015399304194,
  "created_timestamp": 1789875719000,
  "created_at_iso": "2026-09-19T18:41:59.000Z",
  "scraped_at": "2026-09-20T12:00:00.000Z"
}
```

### 💰 Pricing

Pay-Per-Event — you pay only when these events fire:

| Event | USD | What it is |
|---|---:|---|
| `actor-start` | $0.2 | One-off warm-up charge per run |
| `token-result` | $0.003 | Per unique dataset item |

Example: 1 000 token listings at the rates above ≈ **$3.20**. No subscription, no minimum, no card to start — Apify gives every new account $5 of free credit.

### 🚧 Limitations

- No name/ticker search — pump.fun's own searchTerm parameter doesn't reliably filter results (see FAQ), so we didn't ship a broken filter.
- Only the created\_timestamp sort is exposed — it's the only sort order proven live against the API.
- This is a live snapshot feed, not a historical archive — it returns what pump.fun currently serves, not backfilled data.
- No per-token enrichment (trade history, holder lists, bonding-curve internals) — listings only.

### ❓ FAQ

**Can I search by token name or ticker?**

Not in this version — pump.fun's search parameter doesn't reliably filter results, so we didn't ship a broken filter. This Actor returns the full newest-first (or oldest-first) feed; filter client-side after export.

**Is this legal?**

We only fetch content the source makes publicly available. Respect any platform terms of service before using output commercially.

**How do I export to Sheets?**

After the run, click *Storage → Dataset → Export* and pick CSV. Google Sheets imports it directly.

**Why is my run slow?**

Pagination is sequential by design — lower `maxItems` for a faster, smaller run while testing.

### 💬 Your feedback

Spotted a bug, hit a weird edge case, or need a new field? Open an
issue on the Actor's **Issues** tab on Apify Console — we ship
fixes weekly and we read every report.

***

<div align="center">

Built by **[Devil Scrapes](https://apify.com/DevilScrapes)** 😈 — a small fleet of
opinionated public-data Actors. Honest pricing, real engineering, zero fine print.

</div>

# Changelog

This Actor's version history is a separate document: https://apify.com/devilscrapes/pump-fun-new-listings-scraper/changelog.md

# Actor input Schema

## `sort` (type: `string`):

Sort key for the feed. Only <code>created\_timestamp</code> is proven live — new-listings order.

## `order` (type: `string`):

<code>DESC</code> = newest first, <code>ASC</code> = oldest first.

## `maxItems` (type: `integer`):

Total rows to collect across paged requests. The default of 100 walks at least 5 pages at the default page size, so pagination always runs.

## `pageSize` (type: `integer`):

Records requested per page — the API's own <code>limit</code> parameter.

## `minMarketCap` (type: `number`):

Optional client-side filter on <code>usd\_market\_cap</code>, applied to rows already fetched from the sort-ordered feed. Leave empty for no filter.

## `maxMarketCap` (type: `number`):

Optional client-side filter on <code>usd\_market\_cap</code>. Must be ≥ minimum market cap when both are set. Leave empty for no filter.

## `proxyConfiguration` (type: `object`):

Apify Proxy routing. The target is unauthenticated and unfingerprinted, so no proxy group is required by default.

## Actor input object example

```json
{
  "sort": "created_timestamp",
  "order": "DESC",
  "maxItems": 100,
  "pageSize": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `datasetItems` (type: `string`):

All dataset items as JSON.

## `datasetItemsCsv` (type: `string`):

Same data exported to CSV.

## `datasetView` (type: `string`):

Open the run dataset in the Console.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "sort": "created_timestamp",
    "order": "DESC",
    "maxItems": 100,
    "pageSize": 20,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("devilscrapes/pump-fun-new-listings-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "sort": "created_timestamp",
    "order": "DESC",
    "maxItems": 100,
    "pageSize": 20,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("devilscrapes/pump-fun-new-listings-scraper").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 '{
  "sort": "created_timestamp",
  "order": "DESC",
  "maxItems": 100,
  "pageSize": 20,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call devilscrapes/pump-fun-new-listings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,devilscrapes/pump-fun-new-listings-scraper"
        }
    }
}
```

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 <APIFY_API_TOKEN>` 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/e6mpiizl3COjYmUyg/builds/9ExzGgarJQgGz7zja/openapi.json