# Bgmp News Urls Nw Spider (`getdataforme/bgmp-news-urls-nw-spider`) Actor
The Bgmp News Urls Nw Spider is a web scraping tool designed for extracting news articles from GBMP, focusing on lean manufacturing and workforce training....
- **URL**: https://apify.com/getdataforme/bgmp-news-urls-nw-spider.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, 0 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
---
## README.md
### Bgmp News Urls Nw Spider
#### Introduction
The **Bgmp News Urls Nw Spider** is a powerful web scraping tool designed to extract news articles from the GBMP website. It efficiently gathers data on lean manufacturing and workforce training, providing valuable insights for businesses and researchers.
#### Features
- **Automated Data Extraction**: Seamlessly scrape multiple URLs with minimal setup.
- **Customizable Limits**: Set item limits to control the volume of data collected per run.
- **High-Quality Output**: Ensures reliable and structured data output.
- **Flexible Configuration**: Easily adjust input parameters for tailored scraping needs.
- **User-Friendly Interface**: Simple setup process via the Apify Store.
#### Input Parameters
| Parameter | Type | Required | Description | Example |
|-------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------|
| Urls | array | No | The URLs for the spider to scrape. | `["https://www.gbmp.org/hs-search-results?term=workforce&type=SITE_PAGE&type=BLOG_POST"]` |
| item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` |
#### Example Usage
##### Input JSON
```json
{
"Urls": [
"https://www.gbmp.org/hs-search-results?term=workforce&type=SITE_PAGE&type=BLOG_POST"
],
"item_limit": 10
}
````
##### Output JSON
```json
[
{
"Title": "How to Build a Lean Training Program for Your Manufacturing Workforce",
"Description": "Learn how to create an effective lean training program...",
"Url": "https://www.gbmp.org/_hcms/analytics/search/conversion?redirect=aHR0cHM6Ly93d3cuZ2JtcC5vcmcvYmV0dGVyZXZlcnlkYXlsZWFubmV3cy9ob3ctdG8tYnVpbGQtYS1sZWFuLXRyYWluaW5nLXByb2dyYW0tZm9yLXlvdXItbWFudWZhY3R1cmluZy13b3JrZm9yY2U%3D&ct=SEARCH&pid=6479131&cid=214799827335&t=d29ya2ZvcmNl&d=www.gbmp.org&c=2&c=3&rp=1&ab=false&opcid=&rs=UNKNOWN&hs-expires=1813387068&hs-version=1&hs-signature=APUk-v6evtrwkVxxr_mzg5GysM4LjhexMw",
"actor_id": "Y79EYRNbUe1xR5Y7s",
"run_id": "TVvoFg8PCzxHa7FGP"
},
{
"Title": "Workforce Training Grants in Massachusetts Guide | GBMP",
"Description": "Workforce training grants in Massachusetts to fund lean training programs...",
"Url": "https://www.gbmp.org/_hcms/analytics/search/conversion?redirect=aHR0cHM6Ly93d3cuZ2JtcC5vcmcvd29ya2ZvcmNlLXRyYWluaW5nLWdyYW50cw%3D%3D&ct=SEARCH&pid=6479131&cid=115143185284&t=d29ya2ZvcmNl&d=www.gbmp.org&c=2&c=3&rp=2&ab=false&opcid=&rs=UNKNOWN&hs-expires=1813387068&hs-version=1&hs-signature=APUk-v6RcQ_1uU9VrZ-8QTmXCt2S6SH8xw",
"actor_id": "Y79EYRNbUe1xR5Y7s",
"run_id": "TVvoFg8PCzxHa7FGP"
},
{
"Title": "Total Productive Maintenance (TPM): Keep Equipment Running and Teams Engaged",
"Description": "Transform maintenance into a proactive culture with Total Productive Maintenance...",
"Url": "https://www.gbmp.org/_hcms/analytics/search/conversion?redirect=aHR0cHM6Ly93d3cuZ2JtcC5vcmcvYmV0dGVyZXZlcnlkYXlsZWFubmV3cy90b3RhbC1wcm9kdWN0aXZlLW1haW50ZW5hbmNlLXRwbS1rZWVwLWVxdWlwbWVudC1ydW5uaW5nLWFuZC10ZWFtcy1lbmdhZ2Vk&ct=SEARCH&pid=6479131&cid=212305712309&t=d29ya2ZvcmNl&d=www.gbmp.org&c=2&c=3&rp=3&ab=false&opcid=&rs=UNKNOWN&hs-expires=1813387068&hs-version=1&hs-signature=APUk-v7o5laSW0UY22-pXrB0jQo5ZIHnkw",
"actor_id": "Y79EYRNbUe1xR5Y7s",
"run_id": "TVvoFg8PCzxHa7FGP"
}
]
```
#### Use Cases
- **Market Research and Analysis**: Gather insights on industry trends.
- **Competitive Intelligence**: Monitor competitor activities and strategies.
- **Price Monitoring**: Track pricing changes in the market.
- **Content Aggregation**: Compile relevant articles for newsletters or reports.
- **Academic Research**: Collect data for studies on workforce training.
- **Business Automation**: Integrate with systems to automate content updates.
#### Installation and Usage
1. Search for "Bgmp News Urls Nw Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
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 containing objects with the following fields:
- **Title**: The title of the article.
- **Description**: A brief summary or description of the content.
- **Url**: The full URL to the original article.
- **actor\_id**: Identifier for the actor instance.
- **run\_id**: Unique identifier for the run.
#### Support
For custom/simplified outputs or bug reports, please contact:
- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)
We're here to help you get the most out of this Actor!
# Actor input Schema
## `Urls` (type: `array`):
The urls for the spider.
## `item_limit` (type: `integer`):
Maximum items to scrape per actor run. Set to 0 for no limit.
## Actor input object example
```json
{
"Urls": [
"https://www.gbmp.org/hs-search-results?term=workforce&type=SITE_PAGE&type=BLOG_POST"
],
"item_limit": 10
}
```
# Actor output Schema
## `results` (type: `string`):
Scraped data items from dataset
# 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 = {};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/bgmp-news-urls-nw-spider").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 = {}
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/bgmp-news-urls-nw-spider").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 '{}' |
apify call getdataforme/bgmp-news-urls-nw-spider --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/bgmp-news-urls-nw-spider",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Bgmp News Urls Nw Spider",
"description": "The Bgmp News Urls Nw Spider is a web scraping tool designed for extracting news articles from GBMP, focusing on lean manufacturing and workforce training....",
"version": "0.0",
"x-build-id": "SrziwVAegTxttqJRy"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~bgmp-news-urls-nw-spider/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-bgmp-news-urls-nw-spider",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~bgmp-news-urls-nw-spider/runs": {
"post": {
"operationId": "runs-sync-getdataforme-bgmp-news-urls-nw-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~bgmp-news-urls-nw-spider/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-bgmp-news-urls-nw-spider",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"Urls": {
"title": "Urls",
"minItems": 1,
"type": "array",
"description": "The urls for the spider.",
"default": [
"https://www.gbmp.org/hs-search-results?term=workforce&type=SITE_PAGE&type=BLOG_POST"
],
"items": {
"type": "string"
}
},
"item_limit": {
"title": "Item limit",
"minimum": 0,
"type": "integer",
"description": "Maximum items to scrape per actor run. Set to 0 for no limit.",
"default": 10
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```