We extract manufacturer profiles, fabric catalogues, MOQ thresholds, sustainability certifications, and production capacities from Foursource. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake 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 Manufacturer Profiles objects from foursource.com. All fields typed and schema-versioned.
"supplier_id": "FS-849201", "company_name": "Apex Textiles Ltd", "country": "Bangladesh", "established_year": 1998, "employee_count": 4500, "moq_minimum": 1000, "lead_time_days": 45, "product_categories": "['Knitwear', 'Activewear']"
| # | supplier_id | company_name | country | city | established_year | employee_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Material Catalogues objects from foursource.com. All fields typed and schema-versioned.
"material_id": "MAT-59281", "supplier_id": "FS-849201", "name": "Organic Cotton Jersey", "composition": "95% Organic Cotton, 5% Elastane", "weight_gsm": 180, "width_cm": 150, "construction_type": "Single Jersey", "sustainability_tags": "['GOTS Certified', 'Organic']"
| # | material_id | supplier_id | name | composition | weight_gsm | width_cm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Certifications objects from foursource.com. All fields typed and schema-versioned.
"cert_id": "CERT-10482", "supplier_id": "FS-849201", "cert_type": "GOTS", "issuer": "Control Union", "issue_date": "2025-02-14", "expiry_date": "2026-02-13", "status": "Active", "scope": "Fabric Dyeing, Knitting"
| # | cert_id | supplier_id | cert_type | issuer | issue_date | expiry_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Production Capabilities objects from foursource.com. All fields typed and schema-versioned.
"capability_id": "CAP-3910", "supplier_id": "FS-849201", "machinery_type": "Circular Knitting", "machine_count": 120, "monthly_capacity_pcs": 800000, "special_techniques": "['Garment Dyeing', 'Enzyme Wash']", "in_house_processes": "['Knitting', 'Dyeing', 'Sewing']"
| # | capability_id | supplier_id | machinery_type | machine_count | monthly_capacity_pcs | unit_measure |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Trade Show Exhibitors objects from foursource.com. All fields typed and schema-versioned.
"event_name": "Premiere Vision Paris", "year": 2026, "supplier_id": "FS-849201", "booth_number": "Hall 4, Stand B12", "focus_area": "Sustainable Knits", "attendee_status": "Confirmed", "collection_name": "SS27 Eco Basics"
| # | event_id | event_name | year | supplier_id | booth_number | collection_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Foursource scraper handles complex B2B portal navigation, extracting supplier networks, material catalogues, and certification documents with session management and anti-bot circumvention built in.
Extract company details, factory locations, employee counts, export markets, and minimum order quantities across all manufacturing categories.
Capture fabric composition, weight in GSM, width, construction type, and colour availability for millions of textile records.
Parse GOTS, Oeko-Tex, Higg Index, and ISO compliance data including issue dates, expiry dates, and issuer bodies.
Extract machinery types, total machine counts, monthly production volumes, and special manufacturing techniques.
Map supplier attendance at major industry events like Premiere Vision and Texworld, including booth numbers and collection highlights.
Iterate through complex search grids using country, category, material, and certification filters to build comprehensive target lists.
Handle authenticated portal access with cookie rotation and session token renewal to access gated B2B supplier data.
Download and extract metadata from public audit reports and compliance PDF documents linked on supplier profiles.
Run monthly or quarterly capacity refreshes to track changes in supplier capabilities, certifications, and factory footprint.
Brief in. Clean data out.
Provide target categories, countries, or material types. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and authenticated session management for the Foursource portal.
Schema validation, null-rate checks, and sample profile reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
B2B sourcing platforms restrict bulk data access to protect their network. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
Foursource gates detailed supplier data behind authenticated user sessions. We manage credential pools, handle cookie rotation, and renew JWT tokens automatically to maintain continuous pipeline execution without triggering account locks.
The platform relies heavily on JavaScript-rendered search interfaces with nested category filters. We use full Playwright browser sessions to interact with these dynamic elements, ensuring we capture all paginated results that simple HTTP requests miss.
B2B portals aggressively throttle IPs making high-volume requests. We distribute crawl traffic across ISP-grade residential proxies, matching request velocities to standard human browsing patterns to avoid IP bans.
Supplier profiles vary wildly in completeness. Some list exact machinery counts; others provide only text descriptions. Our extraction logic uses multiple fallback chains and regex patterns to normalise inconsistent data into a strict schema.
Crucial compliance data is often locked inside attached PDF documents rather than HTML text. Our pipeline downloads these files, extracts text via OCR where necessary, and parses audit scores and expiry dates into structured fields.
Apparel brands map global supplier networks to identify factories meeting specific MOQ, lead time, and material requirements.
Procurement teams discover alternative manufacturers in new geographies to mitigate regional trade risks and reduce dependency.
Compliance officers track valid GOTS, Oeko-Tex, and Higg Index certifications across thousands of potential partners.
Market analysts correlate trade show attendance and public factory profiles to map competitor supply chains.
Textile innovators analyse fibre composition frequencies across millions of fabric catalogues to identify macro material trends.
Niche industry directories enrich their own databases with verified factory locations, machinery capabilities, and contact points.
"Foursource holds the most comprehensive global index of apparel manufacturers and textile suppliers, but none of it is queryable unless you build the pipeline."
Most teams underestimate the investment required: reliable B2B portal scraping requires authenticated session management, residential proxies, full JavaScript rendering, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our foursource.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 orchestration and deduplication. Playwright handles JavaScript rendering, cookie sessions, and search grid interaction. Combined via custom middleware.
We maintain distributed pools of authenticated sessions in Redis, rotating JWT tokens and cookies across workers to prevent account flags while sustaining throughput.
Pipelines run on AWS ECS. Airflow handles scheduling, dependency management, and SLA alerting. All extracted state is versioned in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About foursource.com scraping, legality, and pipeline operations.
Ask us directly →Scraping B2B directories involves navigating terms of service and authentication walls. DataFlirt extracts factual business data (company names, machinery lists, material specs) which is generally not subject to copyright. We do not extract personal data or private messages. Clients must provide their own access credentials for gated sections and consult legal counsel regarding their specific use case.
Clients provision standard user accounts for the pipeline. Our infrastructure securely stores these credentials, automates the login flow, and rotates session cookies across distributed workers to distribute request load and prevent account suspension.
Yes. We capture the certification type, issuing body, issue date, expiry date, and status. Where documents are attached as PDFs, we can download and parse the metadata to verify audit scores and valid dates.
Foursource profiles are updated sporadically by manufacturers. We recommend monthly or quarterly pipeline runs to capture newly added machinery, updated MOQs, and renewed certifications without incurring unnecessary compute costs.
Yes. We extract full material catalogues and normalise the composition strings (e.g., parsing '95% Cotton, 5% Spandex' into structured arrays) so you can filter the final dataset by exact fibre percentages.
Our minimum engagement typically starts with a defined extraction of 5,000 supplier profiles or a specific material category. For continuous tracking or full-platform scrapes, we price based on volume and required update frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off manufacturer directory export or continuous tracking of global textile capabilities, we scope, build, and operate the pipeline. Tell us what you need.