We extract verified reviews, Q&A threads, user-generated media, and partner profiles from Yotpo widgets and directories. 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 Product Reviews objects from yotpo.com. All fields typed and schema-versioned.
"review_id": "148920194", "product_id": "SKU-8821", "star_rating": 5, "review_title": "Excellent build quality", "review_body": "The material feels premium and it fits perfectly.", "verified_buyer": true, "created_at": "2023-11-14T08:22:11Z", "upvotes": 12
| # | review_id | product_id | author_name | author_email_hash | star_rating | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Q&A Threads objects from yotpo.com. All fields typed and schema-versioned.
"question_id": "Q-99214", "product_id": "SKU-8821", "asker_name": "James T.", "question_text": "Does this support 220V input?", "answer_text": "Yes, it features a dual-voltage power supply.", "answerer_type": "store_owner", "created_at": "2023-10-05T14:11:00Z"
| # | question_id | product_id | asker_name | question_text | answer_text | answerer_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Partner Directory objects from yotpo.com. All fields typed and schema-versioned.
"partner_id": "PTN-4412", "company_name": "Acme Commerce Agency", "partner_type": "System Integrator", "yotpo_tier": "Premier", "headquarters": "London, UK", "website_url": "https://acmecommerce.example.com", "certifications": "['Reviews', 'Loyalty', 'SMS']"
| # | partner_id | company_name | partner_type | yotpo_tier | website_url | headquarters |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Loyalty & Referrals objects from yotpo.com. All fields typed and schema-versioned.
"brand_name": "TechGear Pro", "tier_name": "Gold Member", "points_required": 5000, "point_multiplier": 1.5, "benefits_list": "['Free Shipping', 'Early Access']", "active_status": true
| # | program_id | brand_name | tier_name | points_required | point_multiplier | benefits_list |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for UGC Media objects from yotpo.com. All fields typed and schema-versioned.
"media_id": "IMG-8821-A", "review_id": "148920194", "media_type": "image", "source_url": "https://yotpo.com/media/raw/8821.jpg", "thumbnail_url": "https://yotpo.com/media/thumb/8821.jpg", "timestamp": "2023-11-14T08:22:11Z"
| # | media_id | review_id | product_id | media_type | source_url | thumbnail_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Yotpo distributes data via asynchronous JavaScript widgets embedded on thousands of third-party domains. Our pipeline isolates these network payloads, bypassing CORS restrictions and DOM obfuscation to extract clean schema.
Capture star ratings, review text, author details, and verified buyer flags directly from Yotpo's backend API payloads.
Extract customer questions and brand responses, including upvote metrics and timestamp data for sentiment analysis.
Index the official Yotpo Partner Directory to extract agency profiles, tier statuses, certifications, and contact metadata.
Resolve high-resolution image and video URLs submitted by users alongside their product reviews.
Target Yotpo widgets across any Shopify, Magento, or custom eCommerce storefront without writing site-specific parsers.
Traverse deep review paginations via underlying API calls rather than brittle DOM clicking.
Extract public-facing loyalty program structures, VIP tiers, and point multipliers exposed via Yotpo Loyalty widgets.
Capture clean JSON directly from Yotpo's GraphQL and REST network responses via Playwright network interception.
Distribute request volume across residential proxy pools to avoid 429 Too Many Requests errors from Yotpo APIs.
Brief in. Clean data out.
Provide a list of target eCommerce domains, Yotpo partner categories, or specific product URLs.
We configure Playwright interceptors to capture Yotpo API payloads directly from the network layer.
Schema validation, null-rate checks, and pagination completeness verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting Yotpo data means scraping third-party sites where Yotpo is merely an embedded script. We target the network layer directly.
Yotpo injects reviews into the DOM asynchronously. Rather than parsing HTML, our Playwright instances monitor network traffic and intercept the raw JSON responses from api.yotpo.com, ensuring 100% data fidelity.
Yotpo's APIs validate Origin and Referer headers to ensure requests originate from authorized client domains. We dynamically construct headers to match the target storefront, bypassing CORS restrictions.
Every Yotpo widget relies on a unique public App Key. Our crawlers automatically parse the host page's source code to extract these keys before initiating the API pagination sequence.
Scraping thousands of reviews triggers aggressive rate limiting. We route requests through residential proxy pools, rotating IPs frequently to maintain high throughput without encountering 429 status codes.
Different merchants configure Yotpo widgets differently. We normalize custom fields, varying date formats, and optional attributes into a single, predictable schema for your data warehouse.
NLP teams aggregate millions of verified reviews to train sentiment classifiers and identify recurring product defects.
Brands monitor competitor review velocity, average ratings, and customer complaints across rival storefronts.
B2B sales teams scrape the Yotpo Partner Directory to identify high-tier eCommerce agencies for partnership outreach.
Marketplaces harvest user-submitted images and videos from Yotpo widgets to enrich their own product catalogues.
Analysts track review volume as a proxy for sales velocity across specific DTC brands and product categories.
R&D teams mine Q&A threads to understand customer confusion points and feature requests.
"Yotpo holds the definitive dataset for DTC brand sentiment, but it is fragmented across thousands of independent storefronts. We centralise it."
Aggregating Yotpo data requires solving two distinct problems: discovering the widget configuration on the host domain, and paginating the underlying API without triggering rate limits. DataFlirt manages this two-step execution layer, delivering structured UGC directly to your warehouse while you focus on analysis.
Everything supported by our yotpo.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.
We run headless browsers merely to trigger Yotpo's asynchronous loading sequence, intercepting the resulting API traffic to extract raw JSON payloads rather than parsing the DOM.
Our request engines reconstruct valid Origin, Referer, and User-Agent headers dynamically based on the target merchant domain to satisfy Yotpo's CORS requirements.
Review extraction is highly parallelizable. We distribute pagination tasks across AWS Lambda workers, utilizing Redis for cursor state management and deduplication.
Data delivered to where your team already works — no new tooling required.
About yotpo.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Yotpo data is hosted across its clients' websites. You must provide a list of target URLs, domains, or specific product pages where the Yotpo widgets are installed.
Yes. We paginate through the entire review history available via the widget API, capturing reviews dating back to the product's initial launch.
We intercept the API calls and replicate them via our distributed infrastructure, utilizing residential proxy rotation to ensure request volume remains below Yotpo's IP-based threshold triggers.
Extracting publicly visible reviews, Q&A, and partner profiles is generally permissible. We target only unauthenticated, public-facing data. Clients should ensure their specific use cases comply with relevant data privacy regulations.
Yes. We extract the source URLs for user-uploaded media. We can either deliver these URLs in the dataset or download the binary files directly to your S3 bucket.
Our pipelines detect the absence of the Yotpo App Key and widget initialization scripts. The domain is flagged in the observability logs, and the pipeline proceeds to the next target without failing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of the partner directory or continuous sentiment monitoring across 5,000 DTC brands — we scope, build, and operate the pipeline. Tell us what you need.
