# FAQ and People Also Ask Schema Extractor API (`bipbip-apis/faq-schema-extractor-api`) Actor

Extract FAQ questions, answers, JSON-LD FAQPage schema, and suggested SEO improvements from public pages.

- **URL**: https://apify.com/bipbip-apis/faq-schema-extractor-api.md
- **Developed by:** [Daniel Christensen](https://apify.com/bipbip-apis) (community)
- **Categories:** SEO tools, AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 processed 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?

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

## FAQ and People Also Ask Schema Extractor API

Extract FAQ questions, answers, JSON-LD FAQPage schema, and suggested SEO improvements from public pages.

### Why use this Actor?

This API is built for fast, low-cost business intelligence on public web data. It uses raw HTTP by default, avoids browser/proxy costs, and returns productized fields like `score`, `grade`, `summary`, `signals`, `issues`, and `recommendations`.

### Best for

- SEO agencies building prospect lists
- B2B lead generation teams
- Content and ecommerce researchers
- AI/RAG and automation workflows needing clean structured data

### Input

Provide up to 10 public URLs/domains or the listed niche inputs. Runs are intentionally bounded for predictable cost.

```json
{
  "startUrls": [
    {
      "url": "https://developers.google.com/search/docs/appearance/structured-data/faqpage"
    }
  ]
}
```

### Output

Each result includes the processed URL, HTTP status, score, grade, concise summary, niche-specific extracted fields, and practical recommendations.

### Pricing

Pay per successful result. Designed to be lightweight and inexpensive to run.

### Responsible use

Process only public pages you are allowed to analyze. This Actor does not bypass logins, CAPTCHAs, paywalls, or access controls.

# Actor input Schema

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

Public URLs/domains to process. Free-tier guardrail: maximum 10 items per run.

## `subreddits` (type: `array`):

Optional public subreddit names for Reddit trend briefs. Maximum 5.

## `keywords` (type: `array`):

Optional keywords to match, filter, or score. Maximum 10.

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

Maximum records to process or return. Free-tier guardrail cap: 10.

## `maxConcurrency` (type: `integer`):

Parallel requests where supported. Free-tier guardrail cap: 2.

## `timeoutSecs` (type: `integer`):

HTTP request timeout in seconds. Free-tier guardrail cap: 20.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://developers.google.com/search/docs/appearance/structured-data/faqpage"
    }
  ],
  "subreddits": [
    "SideProject"
  ],
  "keywords": [
    "automation",
    "api"
  ],
  "maxItems": 5,
  "maxConcurrency": 2,
  "timeoutSecs": 20
}
```

# Actor output Schema

## `results` (type: `string`):

Default dataset items for this API run.

# 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 = {
    "startUrls": [
        {
            "url": "https://developers.google.com/search/docs/appearance/structured-data/faqpage"
        }
    ],
    "subreddits": [
        "SideProject"
    ],
    "keywords": [
        "automation",
        "api"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("bipbip-apis/faq-schema-extractor-api").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 = {
    "startUrls": [{ "url": "https://developers.google.com/search/docs/appearance/structured-data/faqpage" }],
    "subreddits": ["SideProject"],
    "keywords": [
        "automation",
        "api",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("bipbip-apis/faq-schema-extractor-api").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 '{
  "startUrls": [
    {
      "url": "https://developers.google.com/search/docs/appearance/structured-data/faqpage"
    }
  ],
  "subreddits": [
    "SideProject"
  ],
  "keywords": [
    "automation",
    "api"
  ]
}' |
apify call bipbip-apis/faq-schema-extractor-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bipbip-apis/faq-schema-extractor-api"
        }
    }
}
```

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/LRDj9HeUOH7BMQF9k/builds/ua1Y1chivgKcgs8OJ/openapi.json