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ParkWhiz API · Endpoint

ParkWhiz Facility Reviews API

Read a facility's public ratings, page by page, with whether reviewers recommend it.

  • 1 credit per call
  • Failed calls are free
  • Updated
  • parkwhiz.facility.reviews
Response completed
{  "has_more": true,  "next_page": 2,  "page": 1,  "total": 1582,  "total_pages": 32,  "reviews": [    {      "rating": 5,      "created_at": "2025-06-07T03:43:39.672Z",      "recommended": false,      "review_id": 2759106    },    {      "rating": 5,      "created_at": "2024-02-29T18:45:08.352Z",      "recommended": false,      "review_id": 2602260    }  ]}
Try it live, free
Input

What you send

The input object of the request, with every field the endpoint accepts.

FieldTypeRequiredWhat it doesExample
location_id integer yes The facility's ParkWhiz location ID. 2504
limit integer no How many reviews per page. 50
page integer no Which page of reviews to return.
Response

Fields it returns

What each record in the response holds, with the values from the sample above.

FieldTypeWhat it isExample
reviews[].rating integer The star rating the reviewer gave. 5
reviews[].recommended boolean Whether the reviewer recommends the facility. false
reviews[].created_at string When the review was written. 2025-06-07T03:43:39.672Z
reviews[].review_id integer ParkWhiz's ID for the review. 2,759,106
reviews array The reviews. 50 records
has_more boolean Whether another page follows. true
next_page integer Send it as page to get the next page. 2
page integer The page this response holds. 1
total integer How many entries match. 1582
total_pages integer How many pages there are. 32
REST API · MCP server

Call it from your code, or ask your agent

Set UPSCRAPE_API_KEY to your key and copy a working request.

curl --request POST \  --url https://data.upscrape.com/execute \  --header "Authorization: Bearer $UPSCRAPE_API_KEY" \  --header "Content-Type: application/json" \  --header "Prefer: wait=30" \  --data '{  "capability": "parkwhiz.facility.reviews",  "input": {    "limit": 50,    "location_id": 2504  }}'
In your AI agent Claude · Cursor · any MCP client
1Add the Upscrape MCP server
https://data.upscrape.com/mcp
2Ask for the data in plain words

With Upscrape, read the ratings of ParkWhiz facility 2504 and tell me its average rating and how many reviewers recommend it.

The agent finds the endpoint, shows you the price, and runs it with your credits.
ParkWhiz

More from the ParkWhiz API

Same data, other platforms

The same data from other platforms

Questions

ParkWhiz Facility Reviews API FAQ

The short answers. The docs have the long ones.

Still have a question? Talk to the people who build the endpoints.
How much does the ParkWhiz Facility Reviews API cost?

1 credit per successful call, shown before it runs. You buy credits once, and paid credits never expire.

What do I send?

Send location_id. The input fields below list every option with its type and limits.

Do I need a ParkWhiz login?

No. It reads public ParkWhiz data; nothing runs on your account.

Can my AI agent call it?

Yes, over MCP: the agent finds parkwhiz.facility.reviews, checks its price and runs it with the same credits as the REST API.

Get started

Your first ParkWhiz call is free.

Up to 100 free credits to start, no card needed.