# Goofish (Xianyu) Listings Scraper (`neuro-scraper/goofish-listings-scraper`) Actor

Goofish (Xianyu) Listings Scraper SD - Goofish (Xianyu) Listings Scraper is a marketplace data tool that extracts 闲鱼 listings from channel feeds, seller shelves and item links: price, want/view counts, specs, condition, images, video, location, category and seller credit. Logged out.

- **URL**: https://apify.com/neuro-scraper/goofish-listings-scraper.md
- **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (community)
- **Categories:** E-commerce, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

./README.md

# Actor input Schema

## `channels` (type: `array`):

Goofish channel feeds by the name shown on the goofish.com home page (read on every run, e.g. 手机数码, 衣橱捡漏, 二次元, 省钱卡券), "all" for every channel, or a channel link (https://www.goofish.com/mach-feeds?machId=...\&publishTimes=...). Pages are followed until Max listings.

## `sellerUrls` (type: `array`):

Seller profile links (https://www.goofish.com/personal?userId=2216087037326) or user ids: every listing the seller shows to visitors, with the seller's nick, IP location, followers and credit tags.

## `startUrls` (type: `array`):

Goofish item links (https://www.goofish.com/item?id=1045244773159) or bare item ids: one full row per item (description, specs, condition, variants, video, views, seller credit and reply rate) plus up to 30 similar listings in relatedItems. Seller and channel links put here are handled like the fields above.

## `detailLevel` (type: `string`):

summary = the listing card (title, price, wants, tags, location, first image, seller nick) - fast. full = also opens every listing's item page for description, specs, condition, all images, video, view/collect counts and the seller profile (about 1-3 MB of traffic per listing). Item links always get the full row.

## `includeSimilar` (type: `boolean`):

For item links: also output the item page's "为你推荐" similar listings (up to 30 per item) as rows of their own. They are always listed briefly in relatedItems.

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

Maximum number of listing rows for the whole run. Channel feeds load 30 listings per page and seller shelves 20; the Actor scrolls page after page until this number or the end of the list.

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

Apify residential proxy by default. Each browser session keeps one IP; a risk-control answer moves to a new session (3 at most).

## Actor input object example

```json
{
  "channels": [
    "手机数码"
  ],
  "sellerUrls": [],
  "startUrls": [],
  "detailLevel": "summary",
  "includeSimilar": false,
  "maxItems": 30,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "channels": [
        "手机数码"
    ],
    "sellerUrls": [],
    "startUrls": [],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuro-scraper/goofish-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 = {
    "channels": ["手机数码"],
    "sellerUrls": [],
    "startUrls": [],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("neuro-scraper/goofish-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 '{
  "channels": [
    "手机数码"
  ],
  "sellerUrls": [],
  "startUrls": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call neuro-scraper/goofish-listings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/goofish-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/ZtU8cXbf50zG37lzT/builds/DYHeux9zQvwLNXXhQ/openapi.json