Real‑time layoff data for recruiters, HR teams, and talent acquisition professionals.
Base URL: https://parheliaweb.com
All requests must include an API key in the x-api-key header. Responses are in JSON.
All prices are listed in Euros (EUR). We use Stripe for secure payment processing, supporting 135+ currencies including iDEAL, Bancontact, and SEPA Direct Debit.
Pass your secret API key as an HTTP header on every request:
x-api-key: YOUR_API_KEY
If the key is missing or invalid, you'll receive a 401 Unauthorized or 403 Forbidden.
| Plan | Rate Limit | Data Access | Fields | Support |
|---|---|---|---|---|
| Free | 5 requests / minute | Last 30 days only | Basic (company, count, date, url) | — |
| Pro (€29/month) | 5 requests / minute | Full dataset (up to 10 years) | + percentage, department, reason, location, restructuring, workforce | Email support |
When you exceed the limit, the API returns 429 Too Many Requests.
GET /v1/layoffs
Returns the most recent layoffs detected by our crawlers. Currently tracking 15 tracked layoffs.
| Parameter | Type | Default | Description |
|---|---|---|---|
max_age_days | integer | 365 | Maximum age of data in days. Free tier limited to 30 days. Pro tier: up to 3650 (10 years). |
max_records | integer | 500 | Maximum records returned. Range: 1-5000. |
curl -H "x-api-key: YOUR_KEY" https://parheliaweb.com/v1/layoffs
curl -H "x-api-key: YOUR_KEY" "https://parheliaweb.com/v1/layoffs?max_age_days=30"
{
"user_tier": "pro",
"count": 1,
"max_age_days": 365,
"last_crawled": "2026-05-28T13:04:49Z",
"results": [{
"company_name": "Cisco",
"layoff_count": "4000 employees",
"announcement_date": "2026-05-14",
"source_url": "https://techcrunch.com/...",
"source_status": "active",
"percentage": "5%",
"affected_department": "IT",
"reason": "AI investment",
"location": "US",
"is_restructuring": false,
"total_workforce_pre_layoff": "80000"
}]
}
| Field | Type | Description |
|---|---|---|
user_tier | string | Your subscription tier (free, pro) |
count | integer | Number of results returned |
max_age_days | integer | The max age filter applied |
last_crawled | string | ISO 8601 timestamp (UTC) of the last crawler run |
company_name | string | Name of the company |
layoff_count | string|null | Number of employees affected |
announcement_date | string | Date of the announcement (YYYY-MM-DD) |
source_url | string | URL of the original news source |
source_status | string | "active" if verified, "archived" if from historical dataset |
percentage | string|null | Pro tier: Percentage of workforce affected |
affected_department | string|null | Pro tier: Department(s) affected |
reason | string|null | Pro tier: Stated reason for the layoffs |
location | string|null | Pro tier: Geographic location |
is_restructuring | boolean | Pro tier: True if part of broader restructuring |
total_workforce_pre_layoff | string|null | Pro tier: Total workforce before layoffs |
import requests
headers = {"x-api-key": "YOUR_API_KEY"}
resp = requests.get("https://parheliaweb.com/v1/layoffs", headers=headers)
for item in resp.json()["results"]:
print(item["company_name"], item["layoff_count"])
curl -H "x-api-key: YOUR_API_KEY" https://parheliaweb.com/v1/layoffs
Email us at info@parheliaweb.com.
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