# Tech Layoffs Tracker — Real-Time Tech Layoff Data (`gochujang/tech-layoffs-tracker`) Actor

Aggregates tech layoff news from major free RSS feeds (TechCrunch /tag/layoffs, The Verge, Reuters Tech, Ars Technica). Extracts company name + impacted headcount from titles when present. HR / recruiter / market sentiment signal. Telegram digests.

- **URL**: https://apify.com/gochujang/tech-layoffs-tracker.md
- **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community)
- **Categories:** Business
- **Features:** Limited permissions
- **Stats:** 9 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 layoff news trackeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Tech Layoffs News Tracker

> Aggregates tech layoff news from **TechCrunch, The Verge, Reuters Tech, Ars Technica** RSS feeds. Extracts company name + impacted headcount from titles automatically. HR / recruiter / market sentiment signal. **No API key.**

### ⚡ Run in 30 seconds

Click **Start** with default settings — no configuration needed. Returns the latest tech layoff news from the past 7 days across all sources, with auto-extracted company names and headcount where available.

***

### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `rssFeeds` | array | `[]` | Additional RSS feeds to ingest. Use 'Name|URL' or plain URL. |
| `onlyLayoffNews` | boolean | `True` | Filter items to those matching layoff/job-cut keywords. |
| `minHeadcount` | integer | `0` | Drop items where extracted headcount < this. 0 = no filter. |
| `limit` | integer | `100` | Max items to return. |
| `alertOnNew` | boolean | `False` | Send digest of returned items to Telegram. |
| `telegramBotToken` | string | `—` | Telegram bot token. |
| `telegramChatId` | string | \`\` | Telegram chat ID to send alerts to (get it from @userinfobot |

***

### Why this exists

Tech layoff news drives real recruiting, hiring, and macroeconomic decisions. layoffs.fyi has become the de facto industry tracker — but their data is locked inside an Airtable embed.

This actor solves the same need from a different angle: it watches the public RSS feeds of the major tech publications and pulls every layoff-related article with regex-based filtering. You get more **context** (the actual article) plus the headline parsing extracts company + headcount when present.

***

### What you get per row

| Field | Example | Notes |
|---|---|---|
| `source` | `TechCrunch` | publication |
| `title` | `Meta is cutting several hundred jobs` | |
| `url` | `https://techcrunch.com/.../` | |
| `summary` | `Meta is laying off several hundred employees...` | first 500 chars |
| `published` | `Tue, 25 Mar 2026 14:30:00 +0000` | RFC 822 from RSS |
| `company` | `Meta` | extracted from title |
| `headcount_estimate` | `300` | extracted from text |
| `headcount_pct_estimate` | `5.0` | extracted "X%" if present |

***

### Use cases

1. **HR / recruiting** — Identify which companies just had layoffs (= source of available talent)
2. **Sales / BD** — Reach out before competitors (recruiting agencies, EOR platforms)
3. **Market sentiment** — Cluster of mega-cap layoffs = sector weakness signal
4. **Equity research** — Headcount cuts often precede or follow weak guidance
5. **Personal awareness** — Daily digest if your industry is contracting

***

### Quick start

#### Default — last 100 layoff-related articles

```json
{}
```

#### Only articles mentioning 1000+ headcount

```json
{
  "minHeadcount": 1000,
  "limit": 50
}
```

#### Add your own RSS feeds

```json
{
  "rssFeeds": [
    "Bloomberg Tech|https://www.bloomberg.com/feed/podcast/etf-report.xml",
    "WSJ Tech|https://feeds.a.dj.com/rss/RSSWSJD.xml"
  ]
}
```

#### Daily digest to Telegram

```json
{
  "limit": 30,
  "alertOnNew": true,
  "telegramBotToken": "YOUR_BOT_TOKEN",
  "telegramChatId": "YOUR_CHAT_ID"
}
```

***

### Default RSS feeds

- **TechCrunch** /tag/layoffs/feed
- **The Verge** /rss/tech
- **Reuters Tech** /feed/best-sectors/tech-media-telecom
- **Ars Technica** /index

Add more via `rssFeeds` input.

***

### Pricing

**Pay-Per-Event**: `$0.001 per news item returned.`

| Run | Items | Cost |
|---|---|---|
| Default (100 items) | 100 | $0.10 |
| Daily digest (30 items) | 30 | $0.03 |
| Big-layoff filter (1000+ HC) | 5–15 | $0.005–0.015 |

***

### Output schema notes

`headcount_estimate` and `headcount_pct_estimate` use lightweight regex parsing — they're best-effort, not 100% accurate. Always verify the source article (link in `url`) before making decisions.

The `onlyLayoffNews` filter uses a curated keyword pattern (`layoff(s)|job cuts|restructur(e|ing)|workforce reduction|let go|RIF|lay off|fired|trim staff`) to keep only relevant items.

***

### Related actors (same author)

- [Stock Earnings Calendar Tracker](https://apify.com/gochujang/stock-earnings-tracker) — Earnings often coincide with layoff announcements
- [Insider Trading Tracker](https://apify.com/gochujang/insider-trading-tracker) — CEO selling shares ahead of layoffs?
- [SEC EDGAR Filing Tracker](https://apify.com/gochujang/sec-edgar-tracker)
- [Economic Calendar Tracker](https://apify.com/gochujang/economic-calendar-tracker)

***

### Feedback

A short review helps recruiters / analysts find it: [Leave a review on Apify Store](https://apify.com/gochujang/tech-layoffs-tracker#reviews)

**Keywords:** tech layoffs tracker, job cuts news aggregator, tech company layoffs, workforce reduction news, HR market signal, layoff news RSS, technology job losses

# Actor input Schema

## `rssFeeds` (type: `array`):

Additional RSS feeds to ingest. Use 'Name|URL' or plain URL. Empty = built-in defaults (TechCrunch, Verge, Reuters, Ars).

## `onlyLayoffNews` (type: `boolean`):

Filter items to those matching layoff/job-cut keywords.

## `minHeadcount` (type: `integer`):

Drop items where extracted headcount < this. 0 = no filter.

## `limit` (type: `integer`):

Max items to return.

## `dateFrom` (type: `string`):

Only include items published on or after this date (UTC). Format: YYYY-MM-DD.

## `dateTo` (type: `string`):

Only include items published on or before this date (UTC). Format: YYYY-MM-DD.

## `year` (type: `integer`):

Only include items from this year (e.g. 2022, 2023, 2024). Overrides dateFrom/dateTo if both are set.

## `alertOnNew` (type: `boolean`):

Send digest of returned items to Telegram.

## `telegramBotToken` (type: `string`):

Telegram bot token.

## `telegramChatId` (type: `string`):

Telegram chat ID to send alerts to (get it from @userinfobot)

## Actor input object example

```json
{
  "rssFeeds": [],
  "onlyLayoffNews": true,
  "minHeadcount": 0,
  "limit": 100,
  "dateFrom": "",
  "dateTo": "",
  "alertOnNew": false,
  "telegramChatId": ""
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `summary` (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 '<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("gochujang/tech-layoffs-tracker").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("gochujang/tech-layoffs-tracker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 gochujang/tech-layoffs-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gochujang/tech-layoffs-tracker"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/XZkZckT11Unssl62z/builds/JOSxwopEJsu52dP7k/openapi.json