Content API for Shopping Sunset: Fix 410 Errors and Verify Your Feed

By Rahul S., founder at Search Counsel Co. Updated September 2026.

Find the owner before changing your feed

A store can have several connections: a platform app, an inventory job and a reporting integration. Start with a short inventory. For each connection, record what it sends, who maintains it and where failures are logged.

Google says merchants using a third-party technology partner, including the Google & YouTube app on Shopify, do not need to perform that provider’s API migration themselves. Custom integrations need their own owner. The migration guide makes this distinction.

A platform name does not describe every connection in your store. Our Shopify and WooCommerce SEO guide provides broader platform context; here, focus on the system actually sending the affected data.

Find the failed request in Merchant Center

1. Open Merchant Center and select Settings → API diagnostics.
2. Select the incident time period. Filter by the service and method you want to inspect.
3. In API calls performance, open the entries under Failed calls.
4. Record the error details and the account time zone so the developer can match them to application logs.

The API diagnostics add-on must be active to use this view. Google documents these steps in API access to Merchant Center. If you cannot access the report, ask the account administrator or integration owner for the matching failed-request evidence.

Ask the technical owner for the failing endpoint, timestamp, response code and error reason. A generic 410 does not establish this diagnosis. Look for the sunset-specific reason in the response.

Keep two cases separate: an API request returning 410 and a product landing page returning 410. The first concerns the integration; the second concerns your website. Changing redirects on a product page will not migrate an API client.

Open an incident record with the affected data source and the last known successful operation. Check whether one job or several jobs are failing. This small record gives the developer a reproducible starting point instead of “Google Shopping stopped working.”

Choose the next action from the evidence

• 410 with content_api_sunset: send the incident to the owner of that legacy integration.
• A different error: investigate its actual message. Do not assume the sunset explains an unrelated authentication, quota or validation problem.
• Requests succeed but product values differ: compare submitted data with the processed product and inspect contributing sources or rules.
• Data matches but visibility remains weak: review destination-specific product issues and search performance separately.

Give the developer a focused handoff

Include the response evidence, connection owner, affected product sample and expected update schedule. Ask for a migration plan covering the actual resources that connection uses.

Merchant API changes resource naming, price fields and batching. For example, amountMicros replaces the old price amount representation, and customBatch is not supported. Use Google’s migration reference and Merchant API quickstart for implementation details.

Google’s migration planning guide requires developer registration linking each Google Cloud project to the primary Merchant Center account. It recommends testing user journeys and introducing changes by method or sub-API, and by a small business segment. Confirm that the specific connection in your incident is included in the release.

If the migration needs more time, the technical owner can use the extension-request route on Google’s sunset documentation. Submission does not mean approval; record the approved project and window if granted. Do not treat a return to the legacy API as an assured fallback.

Agree who can deploy, who verifies results and what happens if a test fails. Keep a record of the previous configuration. Do not make unrelated product-page edits during the same incident unless they are necessary to correct the data being tested.

Check processed products, not just successful requests

Google distinguishes submitted ProductInput data from the processed Product, which includes final status and data-quality issues. Its Products overview explains that lifecycle.

Use the following as an editorial test procedure, not a Google-mandated sample size. Choose five representative products: a regular item, a sale item, a variant, an unavailable item and a recently added item. Avoid changing real stock or prices merely to create a test.

Expand this sample across additional countries, currencies or data sources when your store uses them. A clean five-item check is a useful starting point, not proof that every product is correct. Include the storefront in your product-page checks.

A copyable incident record

Use these fields in your issue tracker. Keep credentials and tokens out of shared records.

• Connection owner and affected account/data source
• Incident time, time zone, endpoint, method and exact error
• Last successful update and expected update interval
• Affected product/variant, expected value and observed value
• Fix owner, deployment time, verification result and remaining issues

For acceptance, inspect one expected update cycle after deployment and a subsequent cycle for recurrence. Choose the interval from your integration’s schedule, not a universal number of minutes. A periodic job that has not run again is not yet a completed check.

A worked example: the app works, but one inventory job fails

Imagine a bag retailer whose platform app sends product titles and images. A separate custom job sends price and availability. The merchant assumes the whole setup is healthy because the app reports successful updates.

The example product, BAG-BLUE-01, should cost $49 USD and be out of stock. The processed Merchant Center product still shows $59 USD and in stock. The investigator treats this as a discrepancy, not proof of its cause.

1. Connect the symptom to the failing job

In this scenario, API diagnostics and application logs identify a failed request from the custom price-and-availability job. Its response contains 410 and content_api_sunset. The platform app is a different integration and is not the caller in this incident.

The developer compares three pieces of evidence: the source record contains the intended values, the failed job attempted to send those values for the same product, and the processed product still contains the previous values. That is a stronger diagnosis than seeing a mismatch and assuming migration caused it.

2. Correct the affected integration

The custom job’s developer maps its operations to the appropriate Merchant API resources, completes the required project registration, checks the product identity and field mappings, and tests a limited release. The working platform app is left alone. The incident record names the affected job so its correction can be verified independently.

In the simulated corrected submission, the intended price is represented as amountMicros = 49000000 with currencyCode = USD. That conversion is $49 multiplied by 1,000,000. The developer also checks the intended availability value; fixing the amount alone would leave the stock discrepancy unresolved.

3. Verify the result at each stage

Unchanged values alone would not prove the subsequent run succeeded. The operation record matters. In a real incident, retain timestamps and the relevant processed-product evidence rather than substituting an arbitrary recovery-time promise.

4. Limit the conclusion to what was checked

The simulated outcome supports a narrow conclusion: this job delivered the expected values for this product across the observed runs. It does not prove that every product, market, promotion or inventory connection is correct. Expand the checks to the affected scope before closing the wider migration.

It also does not establish that listings were approved, traffic increased or revenue recovered. Those are separate outcomes requiring their own evidence.

Measure technical recovery and search outcomes separately

First track failed operations, update freshness and unresolved product differences. Record counts as well as percentages: zero failures among zero requests does not show that a scheduled job recovered. Then review shopping visibility, visits and sales over comparable periods, noting promotions and stock changes.

A repaired connection does not prove that a subsequent traffic change was caused by the repair. Keep the deployment date in your SEO measurement framework. For the wider relationship between product data and search, use the ecommerce SEO guide.

FAQ

The one thing to do next

Create one incident record containing the integration owner, exact failure and a representative product check. If you need help separating the feed problem from wider search-performance issues, discuss the evidence through our SEO consulting service.