Dataify Google Shopping Keywords

Use this skill to create Google Shopping keyword collection tasks through Dataify's builder endpoint.

Required Workflow

1. Use the google_shopping_by-keywords spider when the user wants to collect product information by keyword.
2. Check the local Python runtime before calling scripts. Prefer python; use python3 if that is the available Python command. Require Python 3 or newer. Do not use version-specific Python launcher commands.
3. Tell the user which parameters are required and what the defaults are. Ask whether any values should be changed.
4. Ask whether the user wants to collect multiple parameter sets. If yes, collect multiple spider_parameters objects for the same spider ID. If the user already supplied multiple keywords or multiple parameter objects, treat that as a multiple-set request.
5. Before every real API call, show a Markdown confirmation table with the exact parameters that will be submitted. The table must use these columns: Parameter, Current value, Default value, Required, Description.
6. If any dropdown fields are added in the future, show all available dropdown values in Markdown tables with exactly these columns: Label, Value. This tool currently has no confirmed dropdown fields.
7. Ask the user whether any value should be changed. Do not call the API until the user explicitly confirms the table.
8. Check for the Dataify API token only after parameter confirmation. Prefer a token explicitly provided by the user, then DATAIFY_API_TOKEN from the environment.
9. If no token is available, tell the user: Missing Dataify API token. Provide a token, or log in/register at https://dataify.com/login. If you already have one, open https://dataify.com/dashboard/ and copy the API TOKEN from the top-right area.
10. If the user provides a token and DATAIFY_API_TOKEN is not already saved locally, ask whether to save it as DATAIFY_API_TOKEN. Save it only after explicit consent and never echo the token back.
11. After the API call, report the collection task ID and status. Look for common response fields such as task_id, taskId, taskIdList, tasks_id, TasksID, id, status, data.task_id, data.id, or data.status. Then remind the user to view task details in the official dashboard: https://dataify.com/dashboard/

Parameter Preview

Use the preview helper whenever possible:

python scripts/preview_params.py --keyword iphone

For multiple parameter sets, pass the exact JSON array:

python scripts/preview_params.py --parameters-json '[{"keyword":"iphone"},{"keyword":"ipad"}]'

API Call

Use the call helper after confirmation and token handling:

python scripts/google_shopping_keywords.py --keyword iphone
python scripts/google_shopping_keywords.py --parameters-json '[{"keyword":"iphone"},{"keyword":"ipad"}]'

If the token was provided in the conversation instead of the environment, pass it with --token and do not expose it in user-facing output:

python scripts/google_shopping_keywords.py --token "USER_TOKEN" --keyword iphone

Tool

Every request also accepts file_name. If omitted, use {{TasksID}}.

The user mentioned a Google country parameter, but the provided API mapping does not include a confirmed request field or default value for it. Do not include a country field in spider_parameters unless the user provides the exact API field name supported by Dataify for this spider.

Fixed Request Fields

Always submit to https://scraperapi.dataify.com/builder?platform=1 with:

Send parameters as form data. Keep spider_parameters as a JSON string inside the form body.