We extract specialty gas specifications, welding equipment details, Safety Data Sheets, and branch inventory from Airgas. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Gases & Cylinders objects from airgas.com. All fields typed and schema-versioned.
"product_id": "AIR123", "gas_type": "Argon", "purity_grade": "Ultra High Purity 5.0", "cylinder_size": "300 cu ft", "valve_type": "CGA 580", "un_number": "UN1006"
| # | product_id | title | gas_type | purity_grade | cylinder_size | valve_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Welding Equipment objects from airgas.com. All fields typed and schema-versioned.
"sku": "MIL907021", "brand": "Miller Electric", "model_name": "Bobcat 250", "category": "Welders", "process_type": "MIG/TIG/Stick", "input_voltage": "120V/240V"
| # | sku | brand | model_name | category | sub_category | process_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Safety Data Sheets objects from airgas.com. All fields typed and schema-versioned.
"document_id": "SDS1002", "product_name": "Acetylene, Dissolved", "cas_number": "74-86-2", "hazard_class": "2.1", "signal_word": "Danger", "revision_date": "2025-01-12"
| # | document_id | product_name | manufacturer | cas_number | hazard_class | physical_state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Branch Locations objects from airgas.com. All fields typed and schema-versioned.
"branch_id": "BR4092", "store_name": "Airgas Store Houston", "city": "Houston", "state": "TX", "zip_code": "77041", "services_offered": "['Cylinder Exchange', 'Dry Ice']"
| # | branch_id | store_name | address_line1 | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inventory & Pricing objects from airgas.com. All fields typed and schema-versioned.
"sku": "RAD64003018", "branch_id": "BR4092", "availability_status": "In Stock", "list_price": 45.99, "currency": "USD", "unit_of_measure": "Cylinder"
| # | sku | branch_id | availability_status | quantity_on_hand | list_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Airgas scraper handles every layer of the platform: deep category taxonomies, localized branch inventory, technical gas specifications, and complex SDS documents.
Extract purity grades, gas mixtures, cylinder sizes, and CGA valve types from unstructured technical descriptions.
Locate, download, and parse Safety Data Sheets for chemical composition and hazard classifications.
Scrape welding machines, safety gear, and consumables with full manufacturer part number mapping.
Track stock availability across specific Airgas branch locations using geo-localised session headers.
Extract transportation hazard classes, UN numbers, and packaging group details for regulatory compliance.
Link Airgas SKUs to OEM part numbers from Miller, Lincoln Electric, and Radnor.
Convert unstructured PDF spec sheets into queryable JSON fields for rapid searching.
Navigate the deep taxonomy of industrial gases, medical gases, and specialty mixtures.
Run daily or weekly crawls, delivering only changed records to reduce warehouse compute costs.
Capture list pricing based on localised zip code inputs and branch selections.
Brief in. Clean data out.
Provide target categories, zip codes for inventory, or specific manufacturer brands. We design the schema.
We configure Scrapy spiders, proxy rotation, and session management for airgas.com.
Schema validation, null-rate checks, and sample SDS extraction before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airgas relies on complex session states for inventory and locks critical data in PDFs. Here is how we maintain reliable extraction.
Airgas requires localised sessions to display accurate branch inventory. We manage cookie jars and HTTP headers tied to specific US zip codes to capture regional stock availability.
Safety data is often locked in PDFs. We deploy OCR and layout-aware PDF parsers to extract CAS numbers and hazard codes into structured text.
Gas cylinders have multiple variants based on size, valve type, and ownership status. We map parent-child relationships precisely to ensure accurate SKU representation.
Airgas employs perimeter defence for high-volume requests. We rotate US-based residential proxies to distribute request load and maintain stable access.
B2B distributor sites frequently update their frontend frameworks. Our selector fallback chains ensure pipeline continuity during DOM changes.
MRO distributors track Airgas list prices across categories to optimise their own pricing strategies.
Environmental Health and Safety teams ingest SDS data to maintain internal hazardous material registries.
Procurement teams monitor local branch inventory for critical welding supplies and specialty gases.
B2B marketplaces map Airgas SKUs to manufacturer part numbers to improve their own search relevance.
Manufacturers of welding hardgoods track their product visibility and placement against competing brands on the Airgas platform.
ERP systems ingest daily pricing and availability feeds to automate purchase order generation for industrial consumables.
"Industrial gas supply chains run on exact technical specifications. Extracting this data requires navigating deep taxonomies, parsing complex chemical documents, and managing localised session states."
Scraping B2B distributors like Airgas involves more than parsing HTML. It requires handling localised session cookies for inventory, mapping complex cylinder variants, and extracting chemical data from PDF safety sheets. DataFlirt manages this infrastructure, delivering clean, normalised data directly to your warehouse.
Everything supported by our airgas.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration. Playwright manages localised session cookies and dynamic inventory rendering.
Dedicated microservices handle concurrent SDS document downloads, OCR processing, and structured text extraction.
Pipelines execute on AWS ECS. Airflow manages scheduling, dependency resolution, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About airgas.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public product catalogues and SDS documents is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not bypass login walls to access proprietary contract pricing.
Yes. We locate the SDS links on product pages, download the PDFs, and extract structured fields like CAS numbers, hazard classes, and signal words.
We configure our crawlers with specific US zip codes and manage the resulting session cookies to capture accurate branch-level stock availability.
Yes. We parse the technical specification tables to map cylinder dimensions, volume capacities, and CGA valve connections.
We utilise US-based residential proxies, realistic browser fingerprinting, and controlled request rates to maintain stable access without triggering perimeter defences.
No. We only extract public list pricing. Accessing contract-specific pricing requires authenticating with your corporate credentials, which we do not support.
We support daily or even intra-day runs for specific SKU subsets, delivering only the changed inventory values to optimise downstream processing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous inventory monitoring feed, we scope, build, and operate the pipeline. Tell us what you need.
