ChatGPT Product Feed Generator for Business Hub (CSV / JSONL)

ChatGPT product feed generator for Business Hub

ChatGPT Product Feed Generator builds the product file that Businesses in ChatGPT (Business Hub) asks for: OpenAI's product feed as CSV or JSONL, one row per product or variant. It is for store owners, agencies and developers whose shop is not on Shopify (Shopify has its own connection): it reads a Google Merchant feed, a WooCommerce store or the schema.org product markup on any shop's pages, maps it to OpenAI's field names (item_id, title, description, url, brand, seller_name, image_url, price, availability, variants, GTIN, sale price and more), checks every row against the spec and tells you what to fix. It costs $1 per 1,000 product rows, with no monthly fee. On 11 November 2026 it converted a 100-product WooCommerce store with 354 variations into a 400-row feed in 30 seconds.

This is an independent tool. It is not made or endorsed by OpenAI, and it does not upload anything for you: you get the file, you upload it in Business Hub.

What you get from one run

Output	Where	What it is
chatgpt-product-feed.csv	Key-value store	The feed with OpenAI's column names. Rows that fail a required check are left out.
chatgpt-product-feed.jsonl	Key-value store	The same feed as JSON Lines
chatgpt-product-feed.jsonl.gz, .csv.gz	Key-value store	Gzipped copies for accounts that deliver feeds to OpenAI over SFTP
validation-report	Key-value store	Counts of valid, warned and rejected rows, each kind of issue with an example, notes on currency and completeness
Dataset	Dataset	Every row, valid or not, with feed_status and feed_issues, so you can see exactly which products need work

Who uses it

You are	Use it to
A WooCommerce, BigCommerce, Magento, Wix or Squarespace store owner	Get a file for Business Hub without writing code or installing a plugin
An agency setting up ChatGPT profiles for clients	Produce and check a feed per client, and hand over the list of rows to fix
A developer	Call it from the API or a schedule and keep a daily snapshot of the catalogue in OpenAI's format
An AI agent	Convert a store's catalogue on request through the Apify MCP server

How to create a ChatGPT product feed

1. Open the Input tab and give one source:
   • Google Merchant feed URL (best): the link to your Google Shopping feed file (XML, TSV or CSV). Your shop platform or feed plugin shows it in its Google channel settings.
   • WooCommerce store URL: just the store's address. No plugin, no login.
   • Sitemap or product page URLs: for any other platform; the Actor reads the Product markup your pages already print for Google.
2. Set Seller name (and Brand for products without one if your products carry no brand).
3. Click Start. Run it with nothing filled in first if you want to see the output on a sample feed.
4. Open the Output tab: download chatgpt-product-feed.csv or .jsonl, and read the validation report.
5. In ChatGPT Business Hub, upload the file as your product feed. Fix the rows the report lists at the source, then run again.

To keep the feed fresh, schedule the Actor (Apify Console → Schedules) and upload the new file, or fetch it from the run's key-value store with the API.

Input

Field	What it does
merchantFeedUrls	Google Merchant / Shopping feed files: XML (RSS or Atom with g: fields), TSV or CSV, plain or gzipped
wooCommerceStoreUrls	WooCommerce stores, read through the public Store API (/wp-json/wc/store/v1/products)
sitemapUrls	Sitemaps or sitemap indexes; product pages in them are opened and their schema.org JSON-LD is read
productPageUrls	Individual product pages (schema.org Product or ProductGroup)
productUrlPattern	Regular expression that picks the product pages out of a sitemap
sellerName	seller_name for every row (required by OpenAI). Read from the source when empty.
brandFallback	brand for products that have none in the source. When empty, the seller name is used and the row gets a note.
sellerUrl, returnPolicyUrl, returnDeadlineDays	Optional seller columns added to every row
currency	Used only when a price has no currency code
urlSuffix	Query string added to every product link, for example utm_source=chatgpt.com&utm_medium=feed
expandVariants	One row per WooCommerce variation (default) or one row per product
includeOutOfStock	Keep out-of-stock products with availability: out_of_stock (default) or leave them out
maxItems	Cap for test runs. 0 = whole catalogue

{
    "wooCommerceStoreUrls": ["https://shop.example.com"],
    "sellerName": "Example Outdoor",
    "brandFallback": "Example Outdoor",
    "returnPolicyUrl": "https://shop.example.com/returns",
    "returnDeadlineDays": 30
}

Output: OpenAI product feed fields

One line of chatgpt-product-feed.jsonl from the sample feed:

{"item_id":"JR-MUG-350-GRN","title":"Enamel camp mug, 350 ml, forest green","description":"Steel camp mug with a speckled enamel coating. Holds 350 ml. Safe on a gas stove and in the dishwasher.","url":"https://www.example.com/products/enamel-camp-mug?color=green","brand":"Juniper Ridge","seller_name":"Juniper Ridge Outfitters","image_url":"https://www.example.com/images/enamel-camp-mug-green.jpg","price":"18.00 USD","sale_price":"14.40 USD","availability":"in_stock","group_id":"JR-MUG-350","listing_has_variations":true,"variant_dict":{"color":"Forest green"},"mpn":"JR-350-G","condition":"new","product_category":"Camp Kitchen > Drinkware > Mugs","material":"Enamelled steel","color":"Forest green","weight":"0.21","item_weight_unit":"kg","shipping_price":"5.00 USD"}

Field	Filled from
item_id, title, description, url, image_url	The product's id, name, description (HTML removed), page and main image
brand, seller_name	The source, or your brandFallback / sellerName
price, sale_price	Regular price and the lower sale price, written as 79.99 USD
availability	in_stock, out_of_stock, pre_order, backorder
group_id, listing_has_variations, variant_dict	Variant grouping: Google item_group_id with colour / size, WooCommerce variations, schema.org ProductGroup
gtin, mpn, condition, product_category	The source, when present and valid
color, size, material, gender, age_group	Google feed columns, variation options or page markup
weight, item_weight_unit, length, width, height, dimensions_unit	Product weight and dimensions with their unit
additional_image_urls, shipping_price, review_count, star_rating	More images, the US shipping entry of a Google feed, product ratings
seller_url, return_policy, accepts_returns, return_deadline_in_days	Your input

Dataset rows carry the same fields plus feed_status (valid, valid_with_warnings, rejected), feed_issues, source_type, source_url and generated_at. You can download the dataset as JSON, CSV, Excel or HTML.

What the validator checks

• Required fields: the nine fields OpenAI requires on every row. A row missing one is rejected and left out of the files.
• Price: positive, amount CURRENCY with an ISO 4217 code and no more decimals than the currency allows. It reads $1,299.00, 79,99 EUR and USD 79.99.
• Availability: mapped from Google, WooCommerce and schema.org values; anything else rejects the row and the message names the value.
• Sale price: kept only when it is lower than the price and in the same currency.
• GTIN: 8, 12, 13 or 14 digits with a valid check digit; an invalid one is left out with a warning, so one bad barcode does not cost you the row.
• Unique ids and variant groups: repeated item_id, groups whose variants use different option names, two variants with the same options.
• Text: HTML removed from descriptions, descriptions over 5,000 characters cut at a word boundary, titles over 150 characters flagged.
• Images and links: absolute http(s) URLs; AVIF, WebP and SVG main images are flagged because OpenAI asks for a direct image such as JPEG or PNG.
• Placeholders: n/a, null, unknown and similar in a required field reject the row.

The checks follow OpenAI's product feed spec as published on 11 November 2026. OpenAI decides what it accepts and shows; a clean report here means the file matches the published format, not that every product will appear in ChatGPT.

How much does a ChatGPT product feed cost?

$0.001 per product row ($1 per 1,000), charged for each row written to the dataset, valid or not. Rows left out by maxItems or by includeOutOfStock: false are not charged. No start fee, no subscription; Apify platform usage is included.

Catalogue	One run	Daily refresh for a month
Sample feed (24 rows)	$0.02	-
500 products	$0.50	$15
2,000 products	$2.00	$60
10,000 products	$10.00	$300 (weekly: about $43)

Apify's free plan includes $5 of monthly credit, enough for a 5,000-row feed. Set a maximum charge per run in the run options if you want a hard limit.

Tips

• A Google Merchant feed gives the best result: it already has brand, GTIN, variant groups and sale prices. A WooCommerce store without a brand taxonomy or barcodes produces a valid but thinner feed.
• OpenAI treats each upload as the whole catalogue. Do not upload a file from a capped or failed run as your live feed; the report's complete flag tells you.
• OpenAI's standard upload targets the US. If your prices are not in USD the report says so; other markets need OpenAI to confirm them for your account.
• Products with no description get the title as description and a warning. Write real descriptions for those first: that text is what ChatGPT matches to a shopper's question.
• Feed files are read into memory. If a very large feed stops with an out-of-memory error, raise the memory in the run options.

FAQ

What is Businesses in ChatGPT (Business Hub)?

OpenAI opened it in beta on 10 November 2026. A business claims its profile at chatgpt.com/business-hub, verifies it, and can then edit its details, see how often ChatGPT mentions and links to it, and add a product catalogue. Shopify stores connect an app; other stores upload a product file in OpenAI's format, which is what this Actor produces.

Does this upload the feed to ChatGPT for me?

No. The Actor never signs in to your ChatGPT account, and claiming a profile needs your own verification. You download the file from the run and upload it yourself.

Does a product feed make ChatGPT recommend my products?

OpenAI says claiming a profile does not guarantee placement. The feed gives ChatGPT accurate names, prices, stock and links for your products; whether it shows them is OpenAI's decision.

Can it read a Shopify store?

Shopify stores can use OpenAI's Shopify connection, so this Actor does not read Shopify's storefront JSON. If you want a file anyway, pass the Google Shopping feed URL from your Shopify feed app, or your sitemap.

My WooCommerce store returns an error. Why?

Some stores switch off the public Store API or sit behind a bot check. Pass the store's Google Merchant feed URL instead (any WooCommerce feed plugin gives you one), or its sitemap, or turn on Apify Proxy in the input.

Is there an API for this?

Yes. Start a run with the Apify API, wait for it to finish and download chatgpt-product-feed.jsonl from the run's key-value store. Python and Node.js clients, n8n, Make and Zapier work the same way, and AI agents can call it through https://mcp.apify.com/?tools=data_daemon/chatgpt-product-feed-generator.

Is it legal to read these pages?

The Actor reads what a shop publishes for search engines and shopping channels: its feed file, its public product API and its product pages. Run it on your own store or one you are authorised to work on.

Support

Found a feed or a store it reads wrongly? Open an issue on the Issues tab with the feed or page URL and the row that looks wrong. More data tools from the same publisher: Daemon Data on Apify.