# LAVCA News, Deals & Features Scraper (`jungle_synthesizer/lavca-news-deal-cases-features-scraper`) Actor
Scrapes LAVCA's full content archive via the public WordPress REST API — 6,400+ posts covering LATAM venture capital deal cases, member profiles, newsletters, and industry news. Resolves author/category names and extracts company, investor, and country mentions via light NER.
- **URL**: https://apify.com/jungle\_synthesizer/lavca-news-deal-cases-features-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Business, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per event
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
## LAVCA News, Deals & Features Scraper
Extract LAVCA's full 6,400+ post content archive — deal cases, member profiles, newsletters, and industry news — via the public WordPress REST API. Every record ships with resolved author and category names plus light NER extraction of company, investor, and LATAM country mentions from the post body.
---
### What does this actor do?
**LAVCA** (Latin American Venture Capital Association) is the authoritative research and advocacy body for private capital in Latin America. Their content archive spans 15+ years of deal cases, member profiles, entrepreneur spotlights, newsletters, and weekly industry news — the gold-standard LATAM-VC narrative dataset.
This actor queries LAVCA's public WordPress REST API, paginates through the full post catalog, and returns structured records with:
- Full post metadata (title, slug, dates, permalink, excerpt, full HTML body)
- Resolved author name and category labels
- Yoast SEO JSON block (canonical URL, OG tags, article schema)
- Light named-entity extraction: **companies mentioned**, **investor/fund names**, and **LATAM country mentions** detected in the body text
### Who needs this data?
- **LATAM expansion consultants** — map deal flow and M&A activity by country and sector
- **Regional fund analysts** — track portfolio companies and co-investors across deal cases
- **Academic researchers** — longitudinal analysis of LATAM venture capital narrative trends
- **Competitive intelligence teams** — monitor LAVCA's coverage of specific funds and portfolio companies
### Input configuration
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `maxItems` | integer | 10 | Maximum records to return. Leave blank for the full archive (~6,400 posts). |
| `categories` | array | `["industry-news"]` | Filter by category slug(s). Valid values: `industry-news`, `lavca-in-the-news`, `newsletters`, `press-releases`, `private-capital-update`, `venture-bulletin`. Leave empty for all. |
| `dateFrom` | string | — | Filter posts published on or after this date (`YYYY-MM-DD`). |
| `dateTo` | string | — | Filter posts published on or before this date (`YYYY-MM-DD`). |
### Output schema
Each record in the dataset:
| Field | Type | Description |
|-------|------|-------------|
| `post_id` | integer | WordPress post ID |
| `title` | string | Post title (HTML stripped) |
| `slug` | string | URL slug |
| `date_published` | string | Publication timestamp (ISO 8601) |
| `date_modified` | string | Last-modified timestamp (ISO 8601) |
| `permalink` | string | Canonical post URL |
| `excerpt` | string | Short excerpt (HTML stripped) |
| `content_html` | string | Full post body as raw HTML |
| `author_id` | integer | WordPress author user ID |
| `author_name` | string | Resolved author display name |
| `categories` | array | Category names (e.g. `["Industry News"]`) |
| `tags` | array | Tag IDs (LAVCA does not use tags) |
| `featured_media_url` | string | URL to the featured image media endpoint, or empty string |
| `yoast_schema_jsonld` | string | Yoast SEO head JSON block serialized as a string |
| `companies_mentioned` | array | Company names extracted from the post body |
| `investor_funds_mentioned` | array | Investor/fund names extracted from the post body |
| `countries_mentioned` | array | LATAM country names detected in the post body |
### Example output
```json
{
"post_id": 32274,
"title": "Explorador Capital, Terra Oil Investments, Amos Global Energy and Others Acquire Hydrocarbon Concessions in Santa Cruz",
"slug": "explorador-capital-terra-oil-...",
"date_published": "2026-05-21T20:32:48",
"date_modified": "2026-05-21T20:32:48",
"permalink": "https://www.lavca.org/explorador-capital-...",
"excerpt": "Explorador Capital, Terra Oil Investments, Amos Global Energy and others acquired hydrocarbon concessions in Argentina.",
"content_html": "...
",
"author_id": 309,
"author_name": "Vicki Jacobson",
"categories": ["Industry News"],
"tags": [],
"featured_media_url": "",
"yoast_schema_jsonld": "{\"title\":\"...\",\"og_type\":\"article\",...}",
"companies_mentioned": [],
"investor_funds_mentioned": ["Explorador Capital", "Terra Oil Investments"],
"countries_mentioned": ["Argentina"]
}
````
### Usage notes
- A full archive run (~6,400 posts) takes approximately 15–20 minutes and uses 512 MB memory.
- The `categories` filter maps slugs to WP category IDs at runtime — any unrecognised slug fetches all posts instead.
- `featured_media_url` returns the WP media API endpoint URL (not a direct image URL) when a featured image exists.
- NER patterns target fund/company names with common corporate suffixes and an explicit LATAM country list. They may miss uncommon name formats.
# Actor input Schema
## `sp_intended_usage` (type: `string`):
Please describe how you plan to use the data extracted by this crawler.
## `sp_improvement_suggestions` (type: `string`):
Provide any feedback or suggestions for improvements.
## `sp_contact` (type: `string`):
Provide your email address so we can get in touch with you.
## `maxItems` (type: `integer`):
Maximum number of posts to return. Leave blank for all posts.
## `categories` (type: `array`):
Optional list of category slugs to filter by. Valid values: industry-news, lavca-in-the-news, newsletters, press-releases, private-capital-update, venture-bulletin. Leave empty for all categories.
## `dateFrom` (type: `string`):
Filter posts published on or after this date (YYYY-MM-DD format).
## `dateTo` (type: `string`):
Filter posts published on or before this date (YYYY-MM-DD format).
## Actor input object example
```json
{
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"maxItems": 10,
"categories": [
"industry-news"
]
}
```
# 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 = {
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"maxItems": 10,
"categories": [
"industry-news"
],
"dateFrom": "",
"dateTo": ""
};
// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/lavca-news-deal-cases-features-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 = {
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"maxItems": 10,
"categories": ["industry-news"],
"dateFrom": "",
"dateTo": "",
}
# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/lavca-news-deal-cases-features-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 '{
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"maxItems": 10,
"categories": [
"industry-news"
],
"dateFrom": "",
"dateTo": ""
}' |
apify call jungle_synthesizer/lavca-news-deal-cases-features-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=jungle_synthesizer/lavca-news-deal-cases-features-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "LAVCA News, Deals & Features Scraper",
"description": "Scrapes LAVCA's full content archive via the public WordPress REST API — 6,400+ posts covering LATAM venture capital deal cases, member profiles, newsletters, and industry news. Resolves author/category names and extracts company, investor, and country mentions via light NER.",
"version": "0.1",
"x-build-id": "X1wz4sayuSx8FxbXf"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/jungle_synthesizer~lavca-news-deal-cases-features-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-jungle_synthesizer-lavca-news-deal-cases-features-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/jungle_synthesizer~lavca-news-deal-cases-features-scraper/runs": {
"post": {
"operationId": "runs-sync-jungle_synthesizer-lavca-news-deal-cases-features-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/jungle_synthesizer~lavca-news-deal-cases-features-scraper/run-sync": {
"post": {
"operationId": "run-sync-jungle_synthesizer-lavca-news-deal-cases-features-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": {
"sp_intended_usage": {
"title": "What is the intended usage of this data?",
"minLength": 1,
"type": "string",
"description": "Please describe how you plan to use the data extracted by this crawler."
},
"sp_improvement_suggestions": {
"title": "How can we improve this crawler for you?",
"minLength": 1,
"type": "string",
"description": "Provide any feedback or suggestions for improvements."
},
"sp_contact": {
"title": "Contact Email",
"minLength": 1,
"type": "string",
"description": "Provide your email address so we can get in touch with you."
},
"maxItems": {
"title": "Max Items",
"type": "integer",
"description": "Maximum number of posts to return. Leave blank for all posts."
},
"categories": {
"title": "Category Filter",
"type": "array",
"description": "Optional list of category slugs to filter by. Valid values: industry-news, lavca-in-the-news, newsletters, press-releases, private-capital-update, venture-bulletin. Leave empty for all categories.",
"items": {
"type": "string"
}
},
"dateFrom": {
"title": "Date From",
"type": "string",
"description": "Filter posts published on or after this date (YYYY-MM-DD format)."
},
"dateTo": {
"title": "Date To",
"type": "string",
"description": "Filter posts published on or before this date (YYYY-MM-DD format)."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```