You can collect product prices, availability, and GTINs only after checking the particular retailer’s terms and access rules, and you need to preserve enough context to identify exactly what each observation describes. Robots.txt is a crawler instruction file—not legal clearance. Record the displayed offer, product and variant, timestamp, and a distinct availability or request-failure state so you can validate comparisons instead of treating missing data as a price.
Check the retailer’s terms before collecting data
There is no single permission answer that applies to every store, jurisdiction, collection method, or use. Review the retailer’s current terms for the specific site section and fields you intend to collect; also check its robots.txt directives. The UNECE International Working Group on Price Indices advises practitioners to check both when assessing whether a website is eligible and what information can be collected (UNECE, International Working Group on Price Indices).
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For each source, keep a record of when you checked, which terms applied, the relevant language, the site section and fields in scope, and any conditions such as login or region. Recheck when the terms or collection scope changes. A retailer’s published restrictions are specific to that retailer: for example, Target’s Terms & Conditions restrict certain automated extraction and commercial uses involving product listings and prices. That example does not establish another store’s rules.
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Robots.txt communicates crawling instructions to crawlers; it does not settle whether collection is allowed under a site’s terms or applicable law. Nor is it a reliable way to keep a URL out of search results: Google explains that a blocked URL may still appear in results if it is discovered elsewhere (Google Search Central’s robots.txt guide).
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If your software identifies itself as a crawler, interpret the directives relevant to that user agent and the particular site. Crawler-specific details should not be generalized: Amazon’s documentation, for instance, says AmazonProductDiscoverybot respects user-agent and disallow directives but does not support crawl-delay, nofollow, or noindex (Amazon Product Bot). Those statements describe that crawler, not a universal robots.txt standard or an authorization to collect data.
Keep each observation interpretable
A price record is useful only if an analyst can tell what was observed, where, and when. UNECE describes a typical scraped-data structure that includes date, retailer, website category, item name, price, and item count. Eurostat’s HICP guidance also identifies a unique item URL or code, product type, name, description, and offer price as useful parameters (Eurostat, Practical guidelines on web scraping for the HICP).
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| Record field | What to preserve | Why it matters |
|---|---|---|
| Observation time | Date and time, timezone, and collection or run identifier | Lets you distinguish one observation from another and trace updates or errors. |
| Source and item reference | Retailer, page URL or item code, and website category | Identifies where the record came from and helps find the same listing again. |
| Product identity | Name, description, brand, variant attributes shown, and GTIN if published and verified | Helps distinguish products and variants whose titles may look alike. |
| Offer | Displayed price and currency as shown on the page | Preserves what was observed without implying it is a guaranteed checkout price. |
| Availability and request state | Observed availability, plus separate unknown or request-failure states | Prevents unavailable items and interrupted requests from being recorded as zero-priced products. |
| Collection metadata | Relevant run details and notes needed to trace changes or failures | Supports investigation when records or site behavior change. |
Keep “unavailable,” “unknown,” and “request failed” distinct from one another and from a numeric price. Eurostat specifically calls for handling non-availability and server problems; separating these states in a timestamped dataset is a practical way to avoid silently converting missing observations into misleading values.
Match the exact product before comparing prices
A product title is not necessarily unique or stable: retailers may abbreviate it, revise it, or use similar names for different sizes, colors, or configurations. Prefer an exact GTIN when the value is supplied and can be matched to the product and variant. Otherwise, retain the retailer’s stable item code and the page’s supporting attributes. Eurostat recommends a stable identifier over time and notes that a GTIN or shop item code can be used to track the same products.
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Use GTINs as assigned, not inferred
GTINs are product identifiers assigned by manufacturers. Google’s product-data guidance identifies GTIN, MPN, and brand as common identifiers; it describes UPC as GTIN-12 and EAN as typically GTIN-13. Its instruction is explicit: “Don’t make up, guess, or include values from similar products.” See Google Merchant Center Help’s guidance on unique product identifiers and Google Search Central’s product-information guidance.
- Preserve the GTIN exactly as published, along with where it appeared.
- Check that it belongs to the exact product and variant being recorded; do not substitute a similar item’s identifier or a retailer’s internal code as a GTIN.
- If no GTIN is assigned or you cannot verify the value, leave the GTIN field blank or mark it unverified according to your schema. Do not manufacture a value from a title, barcode format, or another product’s listing.
Validate collection runs and comparisons
Site layouts and product offers can change, and automated requests can fail. After a run, check the data for missing or newly appearing products, duplicate identifiers, abrupt changes in record counts, suspicious or zero prices, outliers, and request interruptions. Eurostat recommends monitoring validity and usefulness, preparing for non-availability and server problems, and checking for duplicates, suspicious values, and outliers.
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- Programmable Configuration: Add custom prefixes/ suffixes, delete characters, Add keyboard keys/ combinations (terminator TAB, CR&LF, Home etc.), Enable or disable the barcode type as you want. Buzzer can be set to mute to allow for a quiet operation.(Note: It does not work with square POS / Divalto / DoorDash / Lightspeed POS system)
- Investigate duplicate IDs associated with different products or variants before merging their histories.
- Compare record counts and field completeness between runs to spot collection failures or site changes.
- Review anomalous values against the source page and preserve uncertainty rather than silently correcting or discarding them.
- When evaluating sources or collection approaches, compare the same factors: terms and scope, product coverage and fields, freshness and timestamp quality, exact identity matching, availability and error handling, and validation and change detection.
A displayed offer price is a time-specific observation from a particular source, not a promise of the price at checkout. Keep its timestamp and source attached; offers and site content can change.
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Checking a retailer’s terms and technical access signals, recording observations carefully, and validating the data are responsible collection practices. They do not establish a universal legal rule for scraping prices or availability. The applicable answer can depend on the retailer’s current terms, the collection details, geography, and intended use; when those stakes matter, seek advice appropriate to the situation.
Quick Recap
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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.




