# Investors Vtex Discovery Parser Spider (`getdataforme/investors-vtex-discovery-parser-spider`) Actor

The Investors Vtex Discovery Parser Spider is a web scraping tool for extracting news articles from the VTEX investors' website. It allows customizable searches with keywords like "investor" or "report," supports flexible item limits, and ensures high-quality data extraction....

- **URL**: https://apify.com/getdataforme/investors-vtex-discovery-parser-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 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

***

## README.md

### Investors Vtex Discovery Parser Spider

#### Introduction

The **Investors Vtex Discovery Parser Spider** is a powerful web scraping tool designed to extract and parse news articles from the VTEX investors' website. It enables users to gather valuable insights into company announcements, financial reports, and press releases by targeting specific search terms.

#### Features

- **Customizable Search Terms**: Tailor searches with specific keywords like "investor," "trade," or "report."
- **Flexible Item Limiting**: Set a maximum number of items per run for efficient data collection.
- **High-Quality Data Extraction**: Ensures reliable and accurate parsing of news content.
- **User-Friendly Configuration**: Easy setup with intuitive input parameters.
- **Versatile Output Formats**: Export results in JSON, CSV, or Excel formats.

#### Input Parameters

| Parameter     | Type    | Required | Description                                                                 | Example                      |
|---------------|---------|----------|-----------------------------------------------------------------------------|------------------------------|
| SearchTerms   | array   | No       | The search terms for the spider.                                            | `["investor", "trade"]`      |
| item\_limit    | integer | No       | Maximum items to scrape per actor run. Set to 0 for no limit.               | `10`                         |

#### Example Usage

##### Input JSON

```json
{
  "SearchTerms": ["investor", "trade"],
  "item_limit": 5
}
```

##### Output JSON

```json
[
  {
    "news_title": "VTEX’s 2021 Annual Report on Form 20-F Available on Our Website",
    "news_description": "NEW YORK--(BUSINESS WIRE)-- VTEX (NYSE: VTEX), announces that the Company’s annual report...",
    "published_date": "2022-03-04T16:24:00",
    "category": "press_release",
    "is_active": true,
    "document_url": "https://www.investors.vtex.com/recent-news/news-details/2022/VTEXs-2021-Annual-Report-on-Form-20-F-Available-on-Our-Website/default.aspx",
    "search_term": "report",
    "actor_id": "jw68NaDf5KTSRDyip",
    "run_id": "K0ElJBMuRFn6EcHWX"
  }
]
```

#### Use Cases

- **Market Research and Analysis**: Gain insights into market trends by analyzing VTEX's news releases.
- **Competitive Intelligence**: Monitor competitor activities through their public announcements.
- **Price Monitoring**: Track pricing strategies mentioned in press releases.
- **Content Aggregation**: Compile relevant company updates for internal reporting.
- **Academic Research**: Use the data for studies on corporate communication and financial disclosures.
- **Business Automation**: Integrate with business processes to automate information gathering.

#### Installation and Usage

1. Search for "Investors Vtex Discovery Parser 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 fields such as `news_title`, `news_description`, `published_date`, `category`, `is_active`, `document_url`, `search_term`, `actor_id`, and `run_id`. Each object represents a news article extracted based on the specified search terms.

#### 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

## `SearchTerms` (type: `array`):

The search terms 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
{
  "SearchTerms": [
    "investor",
    "trade",
    "report"
  ],
  "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 '<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("getdataforme/investors-vtex-discovery-parser-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 '<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("getdataforme/investors-vtex-discovery-parser-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/investors-vtex-discovery-parser-spider --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=getdataforme/investors-vtex-discovery-parser-spider",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jw68NaDf5KTSRDyip/builds/cYOXQREwEzcgARKA6/openapi.json