# Snopes Fact-Check Scraper (`lulzasaur/snopes-scraper`) Actor

Scrape Snopes.com fact-check articles. Get claims, ratings (True/False/Mixture), authors, dates, and full article text via ClaimReview schema.

- **URL**: https://apify.com/lulzasaur/snopes-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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.

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

## Snopes Fact-Check Scraper

Scrape fact-check articles from [Snopes.com](https://www.snopes.com) with structured claim data, ratings, and full article text.

### What it does

This scraper extracts Snopes fact-check articles using their RSS feed and listing pages for discovery, then scrapes individual articles to extract structured data from ClaimReview JSON-LD schema markup.

### Output fields

| Field | Description |
|-------|-------------|
| `title` | Article headline |
| `url` | Full article URL |
| `claim` | The claim being fact-checked (from ClaimReview schema) |
| `rating` | Fact-check verdict: True, False, Mixture, Mostly True, Mostly False, Originated as Satire, etc. |
| `ratingValue` | Numeric rating value (when available) |
| `author` | Article author name |
| `publishedAt` | ISO 8601 publication date |
| `modifiedAt` | ISO 8601 last modified date |
| `category` | Article section (Politics, Science, News, etc.) |
| `description` | Brief article summary |
| `imageUrl` | Featured image URL |
| `bodyText` | Full article body text |
| `tags` | Array of tags and breadcrumb categories |
| `scrapedAt` | ISO 8601 scrape timestamp |

### Input options

- **Category**: Filter by category (All, Fact Checks, News, Science, Politics)
- **Max Results**: Maximum number of articles to scrape (1-1000, default 100)
- **Proxy**: Optional proxy configuration

### Example output

```json
{
  "title": "Did Trump promote new rules that would limit privileges for Congress members?",
  "url": "https://www.snopes.com/fact-check/trump-rules-congress/",
  "claim": "In 2026, U.S. President Donald Trump promoted a proposal called 'The TRUMP Rules' that would restrict legislative lawmakers' privileges and actions.",
  "rating": "False",
  "ratingValue": null,
  "author": "Rae Deng",
  "publishedAt": "2026-04-25T19:00:05Z",
  "modifiedAt": "2026-04-25T19:00:05Z",
  "category": "Politics",
  "description": "...",
  "imageUrl": "https://mediaproxy.snopes.com/width/1200/...",
  "bodyText": "...",
  "tags": ["Fact Checks", "Politics"],
  "scrapedAt": "2026-04-25T22:00:00.000Z"
}
```

### Use cases

- **Media monitoring**: Track fact-check verdicts on trending claims
- **Research datasets**: Build corpora of verified/debunked claims for NLP research
- **Misinformation tracking**: Monitor the spread and debunking of false claims
- **Content verification**: Cross-reference claims against Snopes verdicts
- **Trend analysis**: Track what types of claims are being fact-checked over time

### How it works

1. **Discovery**: Fetches the Snopes RSS feed and paginated listing pages to collect article URLs
2. **Extraction**: Scrapes each article page and parses ClaimReview + Article JSON-LD structured data
3. **Fallbacks**: Uses HTML selectors as backup when JSON-LD data is incomplete
4. **Output**: Pushes structured results to the Apify dataset

### Cost

This actor uses pay-per-event pricing. You are charged $0.005 per result returned.

# Actor input Schema

## `category` (type: `string`):

Filter articles by category.

## `maxResults` (type: `integer`):

Maximum number of articles to scrape.

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

Optional proxy to use.

## Actor input object example

```json
{
  "category": "all",
  "maxResults": 100
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/snopes-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/snopes-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 '{}' |
apify call lulzasaur/snopes-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/snopes-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/n1HCA3Kdu3AyVMPIY/builds/rHFmMCkWHRpSH0aTK/openapi.json