# Nocsprovisions Question Scraper (`getdataforme/nocsprovisions-question-scraper`) Actor
The Nocsprovisions Question Scraper efficiently extracts customer questions and answers from Nocsprovisions product pages, providing valuable insights for businesses and researchers....
- **URL**: https://apify.com/getdataforme/nocsprovisions-question-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## Nocsprovisions Question Scraper
The Nocsprovisions Question Scraper is a powerful tool designed to extract customer questions and answers from product pages on the Nocsprovisions website. This Actor helps businesses and researchers gather valuable customer insights, enabling them to make informed decisions based on real user interactions.
### Features
- **Efficient Data Extraction**: Quickly scrape questions and answers from Nocsprovisions product pages.
- **High Data Quality**: Ensures accurate and reliable data collection.
- **Customizable Crawling**: Set the maximum number of requests per crawl to suit your needs.
- **Comprehensive Output**: Provides detailed information including user names, locations, and product details.
- **User-Friendly Interface**: Easy to set up and use with minimal configuration.
- **Scalable Solution**: Handles large volumes of data efficiently.
- **Versatile Applications**: Suitable for various use cases such as market research and competitive analysis.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|-------------|---------|----------|-----------------------------------------------------|-------------------------------------------------------------------------|
| startUrls | array | Yes | URLs to start with. | `["https://www.nocsprovisions.com/products/standard-issue-8x25-waterproof-binoculars?variant=47377224073495"]` |
| maxItems | integer | No | Maximum number of requests that can be made by this crawler. | `100` |
### Example Usage
#### Example Input
```json
{
"startUrls": [
{
"url": "https://www.nocsprovisions.com/products/standard-issue-8x25-waterproof-binoculars?variant=47377224073495"
}
],
"maxItems": 100
}
````
#### Example Output
```json
[
{
"id": 5209241,
"guid": "9a6f3251-4eeb-4c56-b378-43086517d753",
"title": "",
"message": "Can one a- \r\nttach it to a tripod?",
"name": "Peter meisels",
"location": "United States",
"productID": 4823807328334,
"productImageUrl": "//www.nocsprovisions.com/cdn/shop/files/Standard-NOC-STD-ALP-main-1000x100017527853275014_21d3caac-d61e-4fb3-9540-61e9862773a4_large.webp%3Fv=1763398235",
"productName": "Standard Issue 8x25 Waterproof Binoculars",
"productUrl": "https://www.nocsprovisions.com/products/standard-issue-8x25-waterproof-binoculars",
"productSKU": null,
"productSKUNew": "standard-issue-8x25-waterproof-binoculars",
"isPublic": false,
"state": 1,
"isRead": false,
"dateCreated": "2026-02-11T20:16:58.207Z",
"answersList": [
{
"id": 3278479,
"message": "Tripods are not compatible with the Standard Issue binoculars. They are only compatible with the Field Issue and Pro Issue models.",
"name": "Nocs Provisions",
"isPublic": true,
"dateCreated": "2026-02-11T23:34:56.177Z",
"date": "02/11/2026"
}
],
"date": "02/11/2026",
"customerEmail": null,
"tagsList": [],
"votesList": []
}
]
```
### Use Cases
- **Market Research and Analysis**: Gain insights into customer preferences and concerns.
- **Competitive Intelligence**: Monitor competitor products and customer feedback.
- **Price Monitoring**: Track product pricing and availability.
- **Content Aggregation**: Collect user-generated content for analysis.
- **Academic Research**: Study consumer behavior and product interactions.
- **Business Automation**: Automate data collection for business intelligence.
### Installation and Usage
1. Search for "Nocsprovisions question Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).
### Output Format
The output is a JSON array where each object contains fields such as `id`, `message`, `name`, `location`, `productID`, `productName`, `productUrl`, and `answersList`. Each field provides specific details about the questions and answers extracted from the product pages.
### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form:
We're here to help you get the most out of this Actor!
# Actor input Schema
## `startUrls` (type: `array`):
URLs to start with.
## `maxItems` (type: `integer`):
Maximum number of requests that can be made by this crawler.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://www.nocsprovisions.com/products/standard-issue-8x25-waterproof-binoculars?variant=47377224073495"
}
],
"maxItems": 100
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [
{
"url": "https://www.nocsprovisions.com/products/standard-issue-8x25-waterproof-binoculars?variant=47377224073495"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/nocsprovisions-question-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://www.nocsprovisions.com/products/standard-issue-8x25-waterproof-binoculars?variant=47377224073495" }] }
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/nocsprovisions-question-scraper").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 '{
"startUrls": [
{
"url": "https://www.nocsprovisions.com/products/standard-issue-8x25-waterproof-binoculars?variant=47377224073495"
}
]
}' |
apify call getdataforme/nocsprovisions-question-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/nocsprovisions-question-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Nocsprovisions Question Scraper",
"description": "The Nocsprovisions Question Scraper efficiently extracts customer questions and answers from Nocsprovisions product pages, providing valuable insights for businesses and researchers....",
"version": "0.0",
"x-build-id": "U4VYI5HTqnUv5I9cV"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~nocsprovisions-question-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-nocsprovisions-question-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~nocsprovisions-question-scraper/runs": {
"post": {
"operationId": "runs-sync-getdataforme-nocsprovisions-question-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~nocsprovisions-question-scraper/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-nocsprovisions-question-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "URLs to start with.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"maxItems": {
"title": "Max Requests per Crawl",
"type": "integer",
"description": "Maximum number of requests that can be made by this crawler.",
"default": 100
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```