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OSHA Workplace Violations & Injury Reports Scraper

Pricing

from $2.10 / 1,000 item scrapeds

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OSHA Workplace Violations & Injury Reports Scraper

OSHA Workplace Violations & Injury Reports Scraper

Extract OSHA workplace safety inspection records, cited violations, gravity levels, and dollar penalty fines for compliance and underwriting.

Pricing

from $2.10 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

LiteZero

LiteZero

Maintained by Community

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0

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1

Monthly active users

a day ago

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🏛️ OSHA Workplace Safety Violations & Severe Injury Reports Scraper

Apify

Extract OSHA workplace safety inspection records, cited violations, gravity levels, and dollar penalty fines for compliance and underwriting.


🥊 Why This Actor Beats the Competition

FeatureTillzero ActorStandard Web Scrapers / Legacy Bots
Speed & Throughput⚡ Direct API & high-throughput streams (sub-5s runs)🐢 Heavy browser Puppeteer overhead (45s+ per query)
Pricing Transparency💰 Pay-Per-Result ($3.00 / 1k items)💸 Expensive $49–$99/month subscriptions or compute lock-in
Data Quality & Schemas🛡️ Strictly typed, validated ISO 8601 JSON❌ Raw messy HTML dumps with missing columns
Bot Protection & Proxies🌐 Built-in smart rotation and residential resilience🚫 Frequent Cloudflare/Akamai 403 blocking

🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console

  1. Navigate to the Actor page in the Apify Store.
  2. Configure your search parameters in the intuitive Web UI.
  3. Click Start to run the scraper and export results to CSV, Excel, or JSON.

Method 2: Python SDK

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("litezero/osha-workplace-violations-scraper").call(run_input={"state": "TX", "maxResults": 5})
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(dataset_items)} items!")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/osha-workplace-violations-scraper').call({"state": "TX", "maxResults": 5});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items!`);

Method 4: REST API / cURL

curl -X POST "https://api.apify.com/v2/acts/litezero~osha-workplace-violations-scraper/runs?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"state": "TX", "maxResults": 5}'

📥 Input Parameters

FieldTypeDescriptionDefault
establishmentNameStringSearch by employer/company name (e.g. Amazon, Tesla, Walmart).``
stateStringFilter by two-letter US state code (e.g. TX, CA, OH, FL).TX
minPenaltyUSDIntegerFilter inspections with total penalties equal or greater than this dollar amount.1000
maxResultsIntegerMaximum inspection records to extract.100

📤 Output Data Dictionary & Sample JSON

{
"inspectionId": "1738492",
"establishmentName": "Amazon Fulfillment Center SAT2",
"city": "San Antonio",
"state": "TX",
"zipCode": "78219",
"inspectionDate": "2026-07-14",
"violationCount": 3,
"penaltyAmountUSD": 43500,
"violations": [
{
"standardCited": "1910.178(l)",
"gravity": "Serious",
"penalty": 15625,
"description": "Powered industrial truck operator training deficiency"
}
]
}

💡 Top Commercial Use Cases

  1. Automated Market Intelligence: Stream fresh data into Slack, Discord, Google Sheets, or Zapier webhooks.
  2. Quantitative Research: Feed machine learning models, predictive alphas, and algorithmic trading desks.
  3. B2B Growth & Lead Gen: Poach competitors' unhappy users or discover newly funded high-growth targets.