Glassdoor Interviews API

Please help me write a data collection script with the EveryInfra Glassdoor Interviews endpoint (glassdoor/interviews).

Endpoint contract:
- Request: POST https://api.everyinfra.com/api/v1/social with the header Authorization: Bearer <API key>. Read the key from the EVERYINFRA_API_KEY environment variable and never hard-code it.
- In the request body, set platform to glassdoor and action to interviews, and put the parameters inside params.
- Required parameters:
  - url: A full Glassdoor company Overview or Reviews URL that preserves the company slug and its E or IE numeric identifier. The profile, reviews, salaries, interviews, and jobs actions are scoped to that company.
- Optional parameters:
  - since: The lower date boundary in YYYY-MM-DD format: the review start date for reviews and the interview start date for interviews. It takes precedence over start_date and does not apply to profile, salaries, or jobs.
  - limit: The most rows to return in this call, an integer from 1 to 200. The default applies when you leave it out, and a call can return fewer rows. Larger values return 422 before any charge. (default: 20)
- Returns a list of records. Main fields of each record: id, job_title, difficulty, experience, outcome, source, location, process_description, advice, negotiation, duration_days, is_current_employee; 16 fields in total, full list at https://api.everyinfra.com/api/v1/social/catalog?platform=glassdoor.
- Example request body:
{
  "platform": "glassdoor",
  "action": "interviews",
  "params": {
    "url": "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm"
  }
}
- Price: $1.39 per 1,000 requests; failed and empty results are not charged.
- For dozens or hundreds of targets, add "mode": "async" to the body: you get a job_id at once and poll GET https://api.everyinfra.com/api/v1/jobs/{job_id} for the result.
- On 422, fix the request using the suggested parameter names and allowed values in the error; on 429 or 503, wait for Retry-After and try again.

Before writing code, ask me which targets I need, how many, which fields, and what output format I want; then confirm the plan and the rough cost with me.