# Quora User Profile (`xtracto/quora-user-profile`) Actor

Scrape a Quora user profile: follower count, answer count, credentials, bio, and engagement stats.

- **URL**: https://apify.com/xtracto/quora-user-profile.md
- **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community)
- **Categories:** Social media
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.99 / 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Quora User Profile

Scrape a Quora user's public profile: display name, bio, credentials, follower and following counts, answer and question counts, and total upvotes received.

### Use cases

- Identify subject-matter experts by credential and engagement metrics.
- Track thought leader presence on Quora for PR and outreach campaigns.
- Research which users produce the most-upvoted answers in a topic area.

### Why use this actor

Parses Quora's `__NEXT_DATA__` JSON embedded in the HTML — the same data the React app uses — without requiring login or API keys.

### Sample output

Input: `profile/Andrei-Gheorghiu-6`

> Requires Chrome131 TLS impersonation. Cloudflare-protected.

```json
{
  "_input": "profile/Andrei-Gheorghiu-6",
  "_source": "S1-html-next_data",
  "_scrapedAt": "2026-05-13T...",
  "uid": "AABcDeF1234",
  "name": "Andrei Gheorghiu",
  "profileUrl": "https://www.quora.com/profile/Andrei-Gheorghiu-6",
  "followerCount": 12341,
  "followingCount": 234,
  "answerCount": 89,
  "credential": "PhD in Computer Science",
  "about": "Researcher in machine learning and NLP."
}
```

### Note

- Quora uses Cloudflare bot protection; residential proxy is required.
- Accepts usernames (e.g. `Adam-DAngelo`) or full `quora.com/profile/...` URLs.
- Deactivated or anonymous accounts return limited or no data.

# Actor input Schema

## `users` (type: `array`):

List of usernames or profile URLs to scrape.

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

Apify proxy configuration. Residential proxy strongly recommended.

## Actor input object example

```json
{
  "users": [
    "Adam-DAngelo"
  ],
  "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 = {
    "users": [
        "Adam-DAngelo"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("xtracto/quora-user-profile").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 = { "users": ["Adam-DAngelo"] }

# Run the Actor and wait for it to finish
run = client.actor("xtracto/quora-user-profile").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 '{
  "users": [
    "Adam-DAngelo"
  ]
}' |
apify call xtracto/quora-user-profile --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=xtracto/quora-user-profile",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/L36imn6z5MULi65wc/builds/JIOfaooySHcnAtu1v/openapi.json