# Partnerstack ArticleInfo scraper (`getdataforme/partnerstack-articleinfo-scraper`) Actor
The Partnerstack ArticleInfo Scraper efficiently extracts detailed data from Partnerstack articles, including titles, case studies, quotes, and metrics....
- **URL**: https://apify.com/getdataforme/partnerstack-articleinfo-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
## Partnerstack ArticleInfo Scraper
### Introduction
The Partnerstack ArticleInfo Scraper is a powerful tool designed to extract detailed information from articles hosted on the Partnerstack website. This actor is ideal for users who need to gather comprehensive data from case studies, customer stories, and other content types efficiently and accurately.
### Features
- **Comprehensive Data Extraction**: Captures detailed information including page titles, case study details, customer quotes, key metrics, and more.
- **High Data Quality**: Ensures accurate and reliable data extraction with minimal errors.
- **Efficient Performance**: Quickly processes multiple URLs to deliver results in a timely manner.
- **User-Friendly Interface**: Easy to configure and run, even for users with minimal technical expertise.
- **Flexible Output Formats**: Supports various export formats such as JSON, CSV, and Excel for easy data manipulation.
- **Scalable**: Handles a large number of URLs, making it suitable for both small and large-scale data collection tasks.
### Input Parameters
| Parameter | Type | Required | Description | Example |
|------------|--------|----------|--------------------------|-----------------------------------------------------------|
| startUrls | Array | Yes | URLs to start with. | `[{"url": "https://partnerstack.com/customers/unbounce-and-aim"}]` |
### Example Usage
#### Example Input
```json
{
"startUrls": [
{
"url": "https://partnerstack.com/customers/unbounce-and-aim"
}
]
}
````
#### Example Output
```json
[
{
"url": "https://partnerstack.com/customers/unbounce-and-aim",
"pageTitle": "How Unbounce grew their mature partner program 18% YoY with AIM | PartnerStack",
"caseStudy": {
"category": "CASE STUDIES",
"title": "How Unbounce grew their mature partner program 18% YoY with AIM",
"description": "Learn how AIM optimized Unbounce’s partnership strategy to maximize growth in new trial starts."
},
"customerQuote": {
"quote": "\"The partnership with PartnerStack has been extremely useful in building our affiliate program, alongside the help of the team at All Inclusive Marketing. From utilizing the Discovery Recruitment Tool, Premium Partnership Program and groupings, we have been able to effectively manage and build the Unbounce affiliate program.\"",
"author": {
"name": "Alex Nazarevich",
"title": "VP of Growth, Unbounce",
"imageUrl": "https://cdn.prod.website-files.com/655381e691678a2583615d98/655381e691678a2583616d23_alexnazarevich.webp"
}
},
"keyMetrics": [
"Using AIM’s activation efforts, Unbounce saw an increase in NTS active partners in the program by 9% in 2023",
"AIM onboarded 51 new Unbounce partners in Q1 2023 including one new agency partner who drove over $10K in new revenue in Q1",
"Unbounce saw an increase in Q1 affiliate partnership revenue by 18% year over year"
],
"articleContent": {
"heroImage": "https://cdn.prod.website-files.com/655381e691678a2583615d98/655381e691678a2583616d1f_Unbounce-AIM-PartnerStack-customer-case-study-hero.webp",
"bodyText": "Unbounce is an AI-powered landing page builder created for marketers (from SMBs to freelancers) to build high-converting marketing campaign pages..."
},
"recommendedStories": [
{
"title": "How Freshworks grew 30% YoY in affiliate sourced MRR",
"imageUrl": "https://cdn.prod.website-files.com/655381e691678a2583615d98/6564f3871087b9754165dcac_Freshworks-CaseStudy_logo.webp",
"author": {
"name": "Anitha Sridhar",
"title": "Affiliate Partnerships & Growth"
},
"url": "https://partnerstack.com/customers/freshworks"
}
],
"ogImage": "https://cdn.prod.website-files.com/655381e691678a2583615d98/655381e691678a2583616d22_Unbounce-AIM-case-study-logos.webp",
"canonicalUrl": "https://partnerstack.com/customers/unbounce-and-aim",
"companyMentions": [
{
"name": "Unbounce",
"count": 38
},
{
"name": "PartnerStack",
"count": 19
}
]
}
]
```
### Use Cases
- **Market Research and Analysis**: Gather insights from case studies to understand market trends.
- **Competitive Intelligence**: Analyze competitor strategies and performance metrics.
- **Content Aggregation**: Compile and organize content for newsletters or reports.
- **Academic Research**: Collect data for research papers or projects.
- **Business Automation**: Automate data collection for business intelligence tools.
### Installation and Usage
1. Search for "Partnerstack ArticleInfo 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:
- `url`: The URL of the article.
- `pageTitle`: The title of the page.
- `caseStudy`: Details about the case study including category, title, and description.
- `customerQuote`: A quote from a customer with author details.
- `keyMetrics`: Key performance metrics extracted from the article.
- `articleContent`: Main content of the article including hero image and body text.
- `recommendedStories`: Related stories with titles, images, and URLs.
- `ogImage`: Open Graph image URL.
- `canonicalUrl`: Canonical URL of the article.
- `companyMentions`: List of companies mentioned in the article with mention counts.
### 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.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://partnerstack.com/customers/unbounce-and-aim"
}
]
}
```
# 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://partnerstack.com/customers/unbounce-and-aim"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/partnerstack-articleinfo-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://partnerstack.com/customers/unbounce-and-aim" }] }
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/partnerstack-articleinfo-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://partnerstack.com/customers/unbounce-and-aim"
}
]
}' |
apify call getdataforme/partnerstack-articleinfo-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/partnerstack-articleinfo-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Partnerstack ArticleInfo scraper",
"description": "The Partnerstack ArticleInfo Scraper efficiently extracts detailed data from Partnerstack articles, including titles, case studies, quotes, and metrics....",
"version": "0.0",
"x-build-id": "Xn7pwl8nUq7hm7s6P"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~partnerstack-articleinfo-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-partnerstack-articleinfo-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~partnerstack-articleinfo-scraper/runs": {
"post": {
"operationId": "runs-sync-getdataforme-partnerstack-articleinfo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~partnerstack-articleinfo-scraper/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-partnerstack-articleinfo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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"
}
}
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```