We extract industrial belts, hydraulic hoses, technical specifications, and cross-reference data from Gates. Delivered as clean JSON, CSV, or Parquet to S3, Postgres, or your PIM system on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from gates.com. All fields typed and schema-versioned.
"part_number": "9003-2060", "product_name": "Micro-V Belt", "category": "Power Transmission", "upc": "072053123456", "product_line": "Micro-V", "status": "Active"
| # | part_number | product_name | category | sub_category | upc | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from gates.com. All fields typed and schema-versioned.
"part_number": "9003-2060", "outside_circumference_mm": 1524.0, "top_width_mm": 13.0, "thickness_mm": 8.0, "material": "EPDM", "temperature_range": "-40C to 120C"
| # | part_number | section | outside_circumference_mm | top_width_mm | thickness_mm | angle_degrees |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cross-Reference objects from gates.com. All fields typed and schema-versioned.
"gates_part_number": "9003-2060", "competitor_part_number": "5060600", "competitor_name": "Dayco", "match_type": "Exact", "oem_part_number": "119-8601", "oem_name": "Caterpillar"
| # | gates_part_number | competitor_part_number | competitor_name | oem_part_number | oem_name | match_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fluid Power objects from gates.com. All fields typed and schema-versioned.
"part_number": "8G2", "hose_id_mm": 12.7, "hose_od_mm": 21.3, "working_pressure_psi": 4000, "burst_pressure_psi": 16000, "cover_type": "Standard"
| # | part_number | hose_id_mm | hose_od_mm | working_pressure_psi | burst_pressure_psi | min_bend_radius_mm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Distributors objects from gates.com. All fields typed and schema-versioned.
"distributor_id": "DIST-8492", "name": "Motion Industries", "city": "Chicago", "state": "IL", "zip_code": "60601", "distance_miles": 4.2
| # | distributor_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Gates scraper parses complex specification tables, nested product hierarchies, and dynamic cross-reference tools to deliver clean industrial data.
Extract belts, hoses, hydraulics, and tensioners across the entire Gates catalogue with full parent-child relationships.
Capture dimensional data, material composition, pressure ratings, and temperature tolerances for every SKU.
Extract competitor and OEM part equivalents from the Gates cross-reference system for interchangeability analysis.
Specific extraction for hose ID/OD, working pressure, burst pressure, and bend radius specifications.
Capture belt profiles, pitch lengths, top widths, and tensile cord materials for drive system design.
Map authorized distributors, contact details, and location data via programmatic ZIP code radii queries.
Capture direct URLs for safety data sheets, installation guides, and CAD model assets linked to part numbers.
Maintain structural relationships from top-level product lines down to individual part numbers.
Run weekly or monthly diffs to identify new part introductions and flag obsolete or superseded items.
Brief in. Clean data out.
Select target product categories, specific part numbers, or cross-reference databases on gates.com.
We configure Scrapy crawlers to navigate the Gates catalogue structure and parse complex specification tables.
Schema validation, unit normalisation, and null-rate checks run automatically before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, Postgres database, or PIM system on agreed cadence.
B2B manufacturing sites present unique extraction challenges. Here is how we normalise Gates data into predictable schemas.
Gates product pages feature highly variable specification tables depending on the product family. We use custom parsing logic to normalise these into a consistent schema, handling metric and imperial unit variations.
The Gates cross-reference tool and distributor locator rely on complex AJAX requests. We reverse-engineer these API endpoints to extract full datasets without relying on slow browser automation.
Industrial catalogues often hide products behind multiple layers of category trees. Our crawlers map the entire taxonomy to ensure zero missing SKUs across thousands of sub-categories.
Technical documents and CAD models are crucial for MRO procurement. We extract direct download links and associated metadata, linking them reliably to the parent part number.
For large part catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost, storage bloat, and downstream processing load.
Industrial distributors populate their internal Product Information Management systems with accurate Gates specifications.
Manufacturers map their own part numbers against the Gates catalogue to identify interchangeability.
Procurement teams build internal databases of approved belts and hoses with exact technical parameters.
Market analysts track product lifecycle statuses and distributor network density across regions.
Engineering teams integrate CAD metadata and dimensional specs into internal design tools.
Automotive parts retailers map Gates timing belts and water pumps to specific vehicle fitment databases.
"Industrial procurement relies on exact technical specifications. Without structured catalogue data, engineering and purchasing teams waste hours manually verifying part compatibility."
Extracting data from industrial manufacturers like Gates requires handling complex product taxonomies, deeply nested specification tables, and unit conversions. DataFlirt builds reliable pipelines that normalise this engineering data into clean, queryable formats ready for your ERP or PIM system.
Everything supported by our gates.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
Custom Python pipelines parse irregular HTML tables, standardise unit measurements, and map diverse product attributes into a unified, predictable JSON schema.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About gates.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We crawl the complete product taxonomy, capturing belts, hoses, hydraulics, and tensioners, along with their associated technical specifications.
Gates often displays both depending on the region. Our parsing engine can extract both values or normalise them to your preferred unit standard during pipeline execution.
Yes. We can input your list of competitor or OEM part numbers and extract the corresponding Gates equivalent, match type, and application notes.
We extract the metadata and direct URLs for CAD models and technical PDFs. Downloading and hosting the files themselves requires a custom S3 integration.
Industrial catalogues change slowly. We typically recommend weekly or monthly runs using our change-detection engine to identify new SKUs and discontinued parts.
No. We only extract publicly available catalogue data. Account-specific pricing requires authentication, which falls outside our public data extraction mandate.
Yes. We can map authorized Gates distributors by programmatically querying the locator tool across a grid of global postal codes.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or continuous cross-reference mapping, we scope, build, and operate the pipeline. Tell us what you need.
