# Endpoints News Scraper (`parseforge/endpoints-news-scraper`) Actor
Track biotech and pharma headlines from Endpoints News with optional category and keyword filters. Each article returns title, author, publish date, category, summary, url, and tags. Useful for drug pipeline monitoring and competitive intelligence in life sciences.
- **URL**: https://apify.com/parseforge/endpoints-news-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** News, Business, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $7.50 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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
## ๐ Endpoints News Scraper
> ๐ **Export Endpoints biotech and pharma news in seconds. Title, author, publish date, category, summary, URL, and tags from the public Endpoints RSS feeds.**
> ๐ **Last updated:** 2026-06-05 ยท **๐ 9 fields** per record ยท Endpoints News ยท 8 category channels ยท Real-time
The Endpoints News Scraper turns the public RSS feeds at endpts.com into a flat dataset. Pull the latest biotech, regulatory, FDA, deals, manufacturing, R&D, clinical, and earnings stories.
| ๐ฏ Target Audience | ๐ก Primary Use Cases |
|---|---|
| ๐ Biotech analysts | Daily competitive-intelligence digest |
| ๐ Investors | Track FDA actions and deal flow |
| ๐ฐ Media monitoring | Aggregate biotech news with other feeds |
| ๐ค OSINT | Feed news signals into dashboards |
| ๐ข BD teams | Track partnership and licensing news |
| ๐ฉโ๐ป Developers | Skip RSS parsing |
### ๐ What the Endpoints News Scraper does
- Pulls the live Endpoints RSS feed for the selected channel.
- Parses each article into a flat row with title, author, date, category, summary, and URL.
- Filters by keyword substring.
- Surfaces empty results as a clean error row.
- Exports to your preferred dataset format.
> ๐ก **Why it matters:** Endpoints is the industry standard for biotech news. This actor pipes it directly into your monitoring stack.
### ๐ฌ Full Demo
_๐ง Coming soon._
### โ๏ธ Input
Field
Type
Required
Description
keyword
string
No
Substring filter.
maxItems
integer
No
Free 10, paid up to 1,000,000.
category
enum
No
Regulatory, FDA, deals, R&D, clinical, earnings, manufacturing, all.
**Example 1, FDA news only**
```json
{ "category": "fda", "maxItems": 25 }
````
**Example 2, deal news matching 'acquire'**
```json
{ "category": "deals", "keyword": "acquire", "maxItems": 25 }
```
> โ ๏ธ **Good to Know:** Endpoints' RSS exposes the most recent ~20 items per channel. Schedule daily runs for ongoing monitoring.
### ๐ Output
| Field | Type | Description |
|---|---|---|
| ๐ `title` | string | Article title. |
| โ๏ธ `author` | string | Byline. |
| ๐ `publishDate` | string | Publish timestamp. |
| ๐ท๏ธ `category` | string | Primary category. |
| ๐ `summary` | string | Plain-text summary. |
| ๐ `url` | string | Permalink. |
| ๐ท๏ธ `tags` | string | All categories joined. |
| ๐ `scrapedAt` | string | Fetch timestamp. |
| โ `error` | string | Error message if any. |
```json
{
"title": "Big Pharma snaps up oncology biotech in $4B deal",
"author": "John Carroll",
"publishDate": "Thu, 05 Jun 2026 11:00:00 +0000",
"category": "Deals",
"summary": "The deal expands the buyer's oncology pipeline...",
"url": "https://endpts.com/big-pharma-snaps-up-oncology-biotech/",
"tags": "Deals, Oncology",
"scrapedAt": "2026-06-05T12:00:00.000Z",
"error": null
}
```
### โจ Why choose this Actor
| ๐ | Public RSS, no key required. |
| ๐งน | Clean plain-text summaries. |
| ๐ฏ | 8 category channels. |
| ๐ | Pipe straight into your news stack. |
| ๐พ | Push to dataset, instant export. |
### ๐ How it compares to alternatives
| Approach | Setup | Categories | Filters |
|---|---|---|---|
| Email newsletter | Manual | Limited | Manual |
| Custom RSS reader | 1 hr | All | Manual |
| **This Actor** | 5 sec | Built-in | Built-in |
### ๐ How to use
1. Click **Try for free**.
2. Pick a category.
3. Click **Start**.
### ๐ผ Business use cases
**๐ Daily intelligence digest.** Aggregate FDA, deals, and clinical into one Slack message.
**๐ค BD prospecting.** Track partnership news across mid-cap biotech.
**๐ฐ Media monitoring.** Pipe into PR tools.
**๐ค AI summaries.** Feed into an LLM digest pipeline.
### ๐ Automating Endpoints News Scraper
- **Make / Zapier** trigger and push to Slack, Teams, or Notion.
- **Cron** scheduler via Apify, hourly.
- **Webhooks** on run completion.
- **Pipe to BigQuery / Snowflake / Postgres** via integrations.
### ๐ Beyond business use cases
**๐ Teaching.** Show students how industry news shapes biotech valuations.
**๐งช Personal interest.** Track a favorite indication.
**๐ค Patient advocacy.** Spot pivotal trial readouts.
**๐งฐ Prototyping.** Build a news app in minutes.
### ๐ค Ask an AI assistant about this scraper
Paste this README into your assistant and describe your news workflow.
### โ Frequently Asked Questions
**โ Do I need a subscription?** No, the RSS is public.
**โ How fresh is the feed?** Minutes after publishing.
**โ How many items?** Roughly 20 per channel per refresh.
**โ Are summaries full text?** Excerpts only, the public feed does not include full bodies.
**โ Can I filter by author?** Use the keyword field.
**โ Can I schedule runs?** Yes, hourly or daily.
**โ Is this scraping?** Public RSS only.
**โ Will the schema change?** Core fields stable.
**โ Are HTML entities decoded?** Yes.
**โ Download format?** Any format Apify supports.
### ๐ Integrate with any app
Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST or webhook endpoint.
### ๐ Recommended Actors
| Actor | What it does |
|---|---|
| [ParseForge Fierce Biotech News Scraper](https://apify.com/parseforge/fiercebiotech-news-scraper) | Fierce Biotech news. |
| [ParseForge ProMED Alerts Scraper](https://apify.com/parseforge/promed-mail-alerts-scraper) | Outbreak alerts. |
| [ParseForge NIH Reporter Grants Scraper](https://apify.com/parseforge/nih-reporter-grants-scraper) | NIH grants. |
| [ParseForge WHO ICTRP Trials Scraper](https://apify.com/parseforge/who-ictrp-trials-scraper) | Global clinical trials. |
> ๐ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.
***
**Disclaimer:** This actor scrapes only publicly available data. ParseForge is not affiliated with Endpoints News. Users are responsible for complying with the target site's terms of service and applicable law. [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp).
# Actor input Schema
## `keyword` (type: `string`):
Substring filter against article title and summary.
## `maxItems` (type: `integer`):
Free users limited to 10 items. Paid users up to 1,000,000.
## `category` (type: `string`):
Filter by Endpoints category feed.
## Actor input object example
```json
{
"maxItems": 10,
"category": "all"
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/endpoints-news-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// ๐ Want to learn more ๐? Go to โ 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 = { "maxItems": 10 }
# Run the Actor and wait for it to finish
run = client.actor("parseforge/endpoints-news-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 10
}' |
apify call parseforge/endpoints-news-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=parseforge/endpoints-news-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Endpoints News Scraper",
"description": "Track biotech and pharma headlines from Endpoints News with optional category and keyword filters. Each article returns title, author, publish date, category, summary, url, and tags. Useful for drug pipeline monitoring and competitive intelligence in life sciences.",
"version": "0.1",
"x-build-id": "vJc8jHZJfDGMA7mrL"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/parseforge~endpoints-news-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-parseforge-endpoints-news-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/parseforge~endpoints-news-scraper/runs": {
"post": {
"operationId": "runs-sync-parseforge-endpoints-news-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/parseforge~endpoints-news-scraper/run-sync": {
"post": {
"operationId": "run-sync-parseforge-endpoints-news-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"keyword": {
"title": "Keyword filter",
"type": "string",
"description": "Substring filter against article title and summary."
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Free users limited to 10 items. Paid users up to 1,000,000."
},
"category": {
"title": "Category",
"enum": [
"all",
"regulatory",
"manufacturing",
"fda",
"deals",
"rd",
"clinical",
"earnings"
],
"type": "string",
"description": "Filter by Endpoints category feed.",
"default": "all"
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```