We extract strength equipment catalogues, stock availability, pricing updates, and training logs from EliteFTS. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Equipment & Products objects from elitefts.com. All fields typed and schema-versioned.
"sku": "RACK-3x3", "title": "EliteFTS 3x3 Collegiate Power Rack", "price": 1849.0, "stock_status": "In Stock", "weight_lbs": 450.0, "category": "Racks"
| # | sku | title | category | sub_category | price | list_price |
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Complete list of extractable fields for Pricing & Inventory objects from elitefts.com. All fields typed and schema-versioned.
"sku": "RACK-3x3", "base_price": 1999.0, "sale_price": 1849.0, "discount_pct": 7.5, "in_stock": true, "stock_qty": 12
| # | sku | base_price | sale_price | discount_pct | in_stock | stock_qty |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Training Logs & Articles objects from elitefts.com. All fields typed and schema-versioned.
"article_id": "LOG-8492", "author": "Dave Tate", "title": "Max Effort Lower Body Training", "category": "Training Logs", "publish_date": "2023-10-14", "comments_count": 24
| # | article_id | author | title | category | publish_date | content_body |
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Complete list of extractable fields for Q&A / Table Talk objects from elitefts.com. All fields typed and schema-versioned.
"question_id": "QA-1193", "asker_name": "Powerlifter99", "question_title": "Bands vs Chains for Deadlift", "answered_by": "EliteFTS Team", "date_asked": "2023-11-02", "category": "Training"
| # | question_id | asker_name | question_title | question_body | answer_body | answered_by |
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Complete list of extractable fields for Customer Reviews objects from elitefts.com. All fields typed and schema-versioned.
"review_id": "REV-5921", "sku": "RACK-3x3", "rating": 5, "reviewer_name": "Jim W.", "review_date": "2023-12-01", "verified_buyer": true
| # | review_id | sku | reviewer_name | rating | review_title | review_body |
|---|---|---|---|---|---|---|
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Our EliteFTS scraper extracts heavy equipment specifications, dynamic inventory, and decades of training content with JavaScript rendering and session management built in.
Extract heavy equipment specs, dimensions, and weight capacities across all categories.
Monitor stock depth for high-demand items like specialty bars and bumper plates.
Capture base price, sale price, and clearance discounts timestamped per run.
Scrape thousands of athlete training logs and articles for deep fitness insights.
Map apparel sizes, colours, and barbell knurl options to parent SKUs.
Pull verified buyer reviews, star ratings, and helpful votes.
Extract the extensive Q&A database for strength training methodology.
Separate EliteFTS branded gear from third-party vendors.
Only emit records when stock status or pricing changes.
Run hourly checks on high-velocity inventory or daily catalogue sweeps.
Brief in. Clean data out.
Provide categories, product URLs, or article sections. We design the schema.
We configure Scrapy/Playwright crawlers and proxy rotation for elitefts.com.
Schema validation, null-rate checks, and sample data before full launch.
JSON/CSV/Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Extracting from modern e-commerce and content platforms requires handling dynamic states and deep pagination.
elitefts.com uses standard bot mitigation. We use residential proxies and session management to ensure uninterrupted extraction of catalogue data.
Stock status and variant pricing often load via JavaScript. We use Playwright to hydrate these elements and capture the true DOM state.
E-commerce DOMs shift during sales events. We use fallback selector chains so layout changes do not break the data pipeline.
Training logs span thousands of pages. We handle deep pagination and infinite scroll to extract decades of historical content.
For large equipment catalogues, we maintain a hash index and only push diffs, reducing downstream processing load.
Fitness retailers track EliteFTS pricing on racks and bars to optimise their own margins.
Monitor stockouts on high-demand strength equipment to forecast supply chain trends.
Ingest decades of training logs and Table Talk Q&A to train fitness-specific LLMs.
Analyse review sentiment on newly launched barbells and specialty equipment.
Curate strength training articles and programming logs for secondary fitness platforms.
Brands verify if their third-party equipment is priced at Minimum Advertised Price.
"EliteFTS holds decades of strength training data and a massive equipment catalogue — but it requires a managed pipeline to query it at scale."
Extracting data from major fitness retailers requires handling dynamic inventory states, variant combinations, and deep content pagination. DataFlirt absorbs that complexity, managing residential proxies and DOM changes so your engineers can focus on analysis.
Everything supported by our elitefts.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 orchestrates the crawl while Playwright handles JavaScript rendering for dynamic inventory states.
ISP proxies rotated per request to bypass standard e-commerce rate limiting.
Pipelines run on AWS Lambda and ECS, managed by Airflow for strict scheduling.
Data delivered to where your team already works — no new tooling required.
About elitefts.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt extracts only public, non-authenticated product, pricing, and content data.
We use Playwright to execute JavaScript and capture the exact DOM state for variants, revealing true stock depth and backorder dates.
Yes. We handle deep pagination across the entire content database to extract thousands of historical training logs and articles.
Real-time streaming pipelines achieve sub-60-minute latency for high-priority SKUs. Full catalogue refreshes complete daily.
Yes. Apparel sizes, colours, and equipment variations (like barbell knurl options) are mapped to the parent SKU.
Our packages start at defined catalogue subsets with weekly delivery. We price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a continuous inventory feed or a historical export of training logs — we scope, build, and operate the pipeline. Tell us what you need.
