OSHA Workplace Violations & Injury Reports Scraper
Pricing
from $2.10 / 1,000 item scrapeds
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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
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0.0
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Developer
LiteZero
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1
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a day ago
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🏛️ OSHA Workplace Safety Violations & Severe Injury Reports Scraper
Extract OSHA workplace safety inspection records, cited violations, gravity levels, and dollar penalty fines for compliance and underwriting.
🥊 Why This Actor Beats the Competition
| Feature | Tillzero Actor | Standard 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
- Navigate to the Actor page in the Apify Store.
- Configure your search parameters in the intuitive Web UI.
- Click Start to run the scraper and export results to CSV, Excel, or JSON.
Method 2: Python SDK
from apify_client import ApifyClientclient = 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().itemsprint(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
| Field | Type | Description | Default |
|---|---|---|---|
establishmentName | String | Search by employer/company name (e.g. Amazon, Tesla, Walmart). | `` |
state | String | Filter by two-letter US state code (e.g. TX, CA, OH, FL). | TX |
minPenaltyUSD | Integer | Filter inspections with total penalties equal or greater than this dollar amount. | 1000 |
maxResults | Integer | Maximum 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
- Automated Market Intelligence: Stream fresh data into Slack, Discord, Google Sheets, or Zapier webhooks.
- Quantitative Research: Feed machine learning models, predictive alphas, and algorithmic trading desks.
- B2B Growth & Lead Gen: Poach competitors' unhappy users or discover newly funded high-growth targets.