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This workflow covers catalog fields, variants, offers, images, update methods, validation, failure recovery, and an optional screenshot-based collection path for pages that do not expose a usable feed.
1. Define the canonical product record before collecting anything
Collection fails when each team invents its own columns. Define a schema that can represent a product, its variants, and the offer made in a particular market. Assign an internal product ID or SKU that never changes when marketing copy changes.
Core identity and merchandising fields
- Identity: product ID/SKU, brand, manufacturer part number, GTIN or ISBN when applicable, and a parent or item-group ID for variants.
- Merchandising: title, long description, bullet features, category path, material, pattern, color, size, and other variant attributes.
- Media: primary image, additional image URLs, alt text, and the variant to which each image belongs.
- Governance: source system, source URL or file, retrieval timestamp, owner, confidence, and change history.
Keep product data separate from offer data
A product is the thing being sold; an offer is a seller’s commercial proposal for that product. Store seller, price, sale price, currency, stock status, condition, fulfillment, shipping, returns, market or country, and product URL at the offer level. This prevents one seller’s price or inventory from being copied to every variant or marketplace.
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2. Start with controlled sources
Use the most authoritative source available, in this order:
- Manufacturer or supplier files and approved APIs.
- ERP, PIM, warehouse, and inventory systems.
- Internal merchandising spreadsheets with an identified owner.
- Public product pages, only where extraction is permitted and no controlled source exists.
For every value, retain its source URL or file name and retrieval time. If two systems disagree, do not silently choose one. Route the conflict to a defined owner and record the decision. Website extraction is a fallback and a verification method, not a substitute for a product master.
Collect machine-readable data first
On a product page, inspect server-rendered JSON-LD, embedded meta tags, and visible content. Google describes structured data markup as “a machine-readable representation of your product data directly on your site.” Treat it as an input to validate, not as proof that every field is complete or current.
3. Capture identifiers correctly
Record your SKU and, when applicable, the correct GTIN or ISBN. A barcode scanner can speed intake from packaging, but the scanned value still requires validation. Google’s attribute guidance requires a GTIN of the correct length and check digit and says to provide only one applicable GTIN property.
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Identifier checks
- Preserve leading zeroes by storing identifiers as text, not numeric spreadsheet cells.
- Validate length and check digit before publishing.
- Do not substitute an internal supplier SKU for a GTIN field.
- Keep the parent/item-group ID stable across size, color, pack, or other variants.
- Flag duplicate identifiers and products with conflicting brand or manufacturer-part-number combinations.
4. Normalize without losing the source value
Normalization makes records comparable, but overwriting the source makes corrections impossible. Store both values: for example, source_weight="1.5 lb" and normalized_weight_grams=680.39, together with the rule and timestamp used.
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Normalize these dimensions
- Units: convert weight, dimensions, capacity, and voltage to an agreed base unit while retaining the displayed value.
- Money: store numeric amount, ISO currency code, tax treatment, sale-price dates, and market.
- Text: standardize capitalization and whitespace without changing legally required wording.
- Brands and categories: map aliases to controlled names and preserve the incoming label.
- Variants: use one vocabulary for values such as “Navy,” “navy blue,” and “NV.”
- Images: require stable HTTPS URLs, identify the primary image, and map alternate images to the correct child variant.
5. Model variants and offers explicitly
Create one parent record for the product family and one child record per purchasable variant. A size-and-color matrix should never rely on title text alone. Each child needs its own SKU, image mapping, availability, and—when it differs—price, barcode, dimensions, and shipping attributes.
Attach offer values to the seller and market where they apply. A parent product’s price, stock, or image sent to every child is a common cause of feed disapprovals and customer-facing errors.
6. Choose a collection method that matches catalog volatility
| Situation | Recommended method | What to watch |
|---|---|---|
| Small catalog, infrequent changes | Website structured data plus an automated crawl | Crawl coverage and freshness are not guaranteed. |
| Large catalog or frequent merchandising changes | Scheduled feed files | Validate completeness and import diagnostics after each file. |
| Urgent inventory or price changes | Content API or equivalent channel API | Authenticate, rate-limit, and log every update. |
| Physical stock intake | USB or Bluetooth barcode scanner plus validation | Check the scanned value against the packaging and product master. |
| Multiple partners and markets | GS1 identifiers with schema.org/GS1 vocabulary | Check country-specific company-prefix rules and licensing separately. |
Google recommends using both on-page structured data and a Merchant Center feed where feasible: the combination helps it understand and verify product information. Feeds can also carry information that is not visible on the public site, such as store-level inventory.
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- Confirm permission. Review the site’s terms, robots guidance, API policy, and any access restrictions. Do not bypass authentication, bot checks, or a CAPTCHA.
- Open a representative product page. Use browser developer tools to view the server response and search for
application/ld+json, product meta tags, and visible offer details. - Save raw evidence. Store the URL, retrieval time, response status, raw JSON-LD or HTML, and a hash or version identifier so a later correction can be traced.
- Parse, then map. Map fields such as
name,description,image, SKU, GTIN, price, currency, and availability into your canonical schema. Keep unmapped fields for review rather than discarding them. - Resolve variants. Follow the page’s item-group or variant identifiers and verify that each child URL, image, price, and stock state is distinct where required.
- Validate against visible and transactional data. Compare structured data with the rendered page and, where authorized, a checkout or inventory response. A price that appears in JSON-LD but differs at checkout must be quarantined.
- Load a staging batch. Import a small sample first, run identifier and field checks, and review rejected rows before a production publish.
Minimal Python extraction example
The following example downloads a page and prints Product JSON-LD blocks for inspection. It is an intake aid, not a replacement for permission, variant handling, or validation.
pip install requests beautifulsoup4
import json
import requests
from bs4 import BeautifulSoup
url = "https://example.com/product"
r = requests.get(url, timeout=30, headers={"User-Agent": "CatalogIntake/1.0"})
r.raise_for_status()
soup = BeautifulSoup(r.text, "html.parser")
for tag in soup.select('script[type="application/ld+json"]'):
try:
data = json.loads(tag.string or tag.get_text())
except json.JSONDecodeError:
continue
records = data if isinstance(data, list) else [data]
for record in records:
if isinstance(record, dict) and (record.get("@type") == "Product" or "Product" in record.get("@type", [])):
print(json.dumps(record, ensure_ascii=False, indent=2))Many sites render data after page load, split it across scripts, or expose only a subset of offer fields. In those cases, use an approved feed or API, or capture the rendered page for human review rather than assuming the initial HTML is complete.
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8. Publish in two synchronized layers
Product-page structured data
Put Product or merchant-listing JSON-LD in the server-rendered HTML of each product page. Map title to name, description to description, image link to image, and identifiers to the corresponding schema.org properties. Values should match the product-data specification used by the destination channel.
Merchant or marketplace feeds
Use a feed when you need controlled update timing, broader coverage, or fields that are not displayed publicly. Keep feed price, availability, currency, condition, shipping, returns, image URLs, and variant grouping synchronized with the page and checkout.
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9. Schedule updates by volatility
- Stable catalogs: a crawl or automated feed may be sufficient, with periodic completeness checks.
- Regular merchandising changes: schedule feed generation and import at a known cadence.
- Fast-changing price or stock: send urgent changes through a channel API and reconcile them back to the product master.
Crawling is not guaranteed to find every product and does not guarantee processing time for changes. Track the last successful collection and publish time for each record so stale data is visible.
10. Reconcile and monitor after every import
Compare four representations: the source record, feed, storefront display, and checkout or inventory response. Review channel diagnostics for missing attributes, invalid identifiers, price or availability mismatches, image failures, and variant-grouping errors.
Useful quarantine rules
- Reject a row with a malformed GTIN, duplicate SKU, missing currency, or impossible price.
- Hold an offer when feed and checkout availability disagree.
- Flag an image that returns an error, redirects unexpectedly, or belongs to another variant.
- Require human review when a normalized value changes sharply from the previous source value.
- Keep rejected rows and the original payload so an operator can correct and replay them.
Or skip the browser setup
For permitted page collection and visual verification, ScreenshotNeo provides a website screenshot API and MCP server. It accepts consent banners before capture and removes more than 60 known consent platforms, newsletter popups, and chat widgets; each step can be disabled. Bot checks or CAPTCHAs, blank pages, timeouts, failed loads, and cache hits cost nothing, and the response identifies the result with X-Page-Verdict and X-Billed headers. Its MCP tools—take_screenshot, get_page_info, and capture_pdf—work with Claude, Cursor, and other MCP clients.
Use full-page capture with lazy images loaded, a CSS selector for one product element, dark mode, device presets or a custom viewport, retina scale, PDF output, custom CSS or JavaScript, click-before-capture, selector hiding, waits for a selector, delay, or network idle, request and resource blocking, custom headers, cookies, user agent and Authorization, timezone and geolocation, transparent backgrounds, resizing, a chosen cache TTL, signed image links, asynchronous jobs with signed webhooks, bulk capture of up to 100 URLs per call, and the usage API or OpenAPI specification. Common parameter names used by other screenshot APIs also work, which can ease migration.
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See the ScreenshotNeo documentation for request details. A one-call capture looks like this:
curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webpPython:
import requests
r = requests.get("https://api.screenshotneo.com/v1/shot", params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"}, timeout=90)
r.raise_for_status()
open("shot.webp", "wb").write(r.content)Node.js:
const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);
if (!res.ok) throw new Error(`HTTP ${res.status}`);
require('fs').writeFileSync('shot.webp', Buffer.from(await res.arrayBuffer()));Use the resulting image or PDF as review evidence alongside the raw product payload; it does not replace structured extraction or identifier validation.
Plans and cost controls
| Plan | Included shots | Price |
|---|---|---|
| Free | 1,000 per month | $0, no card |
| Starter | 3,000 | $5 |
| Growth | 15,000 | $15 |
| Pro | 60,000 | $39 |
| Scale | 250,000 | $99 |
| Business | 1,000,000 | $249 |
Every feature is on every plan, and yearly billing gives two months free. Start with 1,000 free screenshots a month with no card, then choose a paid plan starting at $5 for 3,000 shots if your permitted collection volume requires it.
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“The channel says the identifier is invalid.”
Check the identifier type, length, leading zeroes, and check digit. Confirm that you sent the applicable GTIN rather than a supplier SKU, and verify that the brand and manufacturer part number describe the same item.
“Every variant shows the parent price or image.”
Separate parent and child records, assign a stable item-group ID, and map each child’s offer and media independently. Rebuild the feed from the child records instead of copying parent defaults.
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“The feed and product page disagree.”
Compare timestamps and source versions, then designate one system as authoritative for price and one for inventory. Quarantine the record until checkout, page markup, and feed show the same values.
“The crawler missed products.”
Do not assume discovery is complete. Generate a controlled feed or use an approved API, and compare the resulting URL set with your catalog master.
“Structured data is not detected.”
Ensure the markup is present in server-rendered HTML rather than generated only after page load. Validate JSON syntax, required properties, canonical URLs, and image accessibility.
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“Normalization destroyed the original value.”
Restore the raw payload from your archive, add a separate normalized column, and record the conversion rule and operator. Never make irreversible transformations in the intake layer.
12. A production readiness checklist
- Every record has a stable SKU and a source URL or file with retrieval time.
- GTINs or ISBNs are validated and stored as text.
- Parent, child, and offer relationships are explicit.
- Original and normalized values are both auditable.
- Prices include currency and market; stock includes availability and condition.
- Images are stable HTTPS URLs mapped to the correct variant.
- Structured data, feed, storefront, and checkout agree.
- Update cadence matches how quickly the field changes.
- Diagnostics, rejected rows, and replayable source payloads are retained.
- Collection from third-party pages is permitted and does not bypass access controls.
Frequently Asked Questions
Should SKU and GTIN be stored in the same field?
No. Store your internal SKU separately from a GTIN or ISBN so validation, marketplace mapping, and identifier ownership remain clear.
Can a screenshot replace product structured data?
No. A screenshot is visual evidence or a review aid; feeds, APIs, and structured data carry the machine-readable fields required for publishing and validation.
How often should a catalog be recollected?
Use the field’s volatility: crawl stable catalogs, schedule feeds for regular changes, and use an API for urgent price or inventory updates.
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Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
