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POST
/
tabelog
/
reviews
cURL
curl --request POST \
  --url https://py-api.hobbo.ai/tabelog/reviews \
  --header 'Content-Type: application/json' \
  --data '
{
  "query": "<string>",
  "reviews_to_fetch": 123,
  "sort_type": null,
  "filter_by": 0,
  "sync_date": "<string>",
  "is_text_formatted": true,
  "pagination_data": {}
}
'
import requests

url = "https://py-api.hobbo.ai/tabelog/reviews"

payload = {
"query": "<string>",
"reviews_to_fetch": 123,
"sort_type": None,
"filter_by": 0,
"sync_date": "<string>",
"is_text_formatted": True,
"pagination_data": {}
}
headers = {"Content-Type": "application/json"}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify({
query: '<string>',
reviews_to_fetch: 123,
sort_type: null,
filter_by: 0,
sync_date: '<string>',
is_text_formatted: true,
pagination_data: {}
})
};

fetch('https://py-api.hobbo.ai/tabelog/reviews', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
<?php

$curl = curl_init();

curl_setopt_array($curl, [
CURLOPT_URL => "https://py-api.hobbo.ai/tabelog/reviews",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'query' => '<string>',
'reviews_to_fetch' => 123,
'sort_type' => null,
'filter_by' => 0,
'sync_date' => '<string>',
'is_text_formatted' => true,
'pagination_data' => [

]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json"
],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}
package main

import (
"fmt"
"strings"
"net/http"
"io"
)

func main() {

url := "https://py-api.hobbo.ai/tabelog/reviews"

payload := strings.NewReader("{\n \"query\": \"<string>\",\n \"reviews_to_fetch\": 123,\n \"sort_type\": null,\n \"filter_by\": 0,\n \"sync_date\": \"<string>\",\n \"is_text_formatted\": true,\n \"pagination_data\": {}\n}")

req, _ := http.NewRequest("POST", url, payload)

req.Header.Add("Content-Type", "application/json")

res, _ := http.DefaultClient.Do(req)

defer res.Body.Close()
body, _ := io.ReadAll(res.Body)

fmt.Println(string(body))

}
HttpResponse<String> response = Unirest.post("https://py-api.hobbo.ai/tabelog/reviews")
.header("Content-Type", "application/json")
.body("{\n \"query\": \"<string>\",\n \"reviews_to_fetch\": 123,\n \"sort_type\": null,\n \"filter_by\": 0,\n \"sync_date\": \"<string>\",\n \"is_text_formatted\": true,\n \"pagination_data\": {}\n}")
.asString();
require 'uri'
require 'net/http'

url = URI("https://py-api.hobbo.ai/tabelog/reviews")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n \"query\": \"<string>\",\n \"reviews_to_fetch\": 123,\n \"sort_type\": null,\n \"filter_by\": 0,\n \"sync_date\": \"<string>\",\n \"is_text_formatted\": true,\n \"pagination_data\": {}\n}"

response = http.request(request)
puts response.read_body
{
  "all_reviews": [],
  "extra_information": {},
  "message": "<string>"
}
{
"error": "<string>"
}

Body

application/json

Tabelog review scraping parameters

query
string
required

Provide the Tabelog restaurant or profile URL.

reviews_to_fetch
number | null

Number of reviews to fetch (default: all reviews, or within 30-second timeout).

sort_type
enum<string> | null

Sorting option for the reviews (default preserves platform order).

Available options:
visit,
null
filter_by
enum<integer>
default:0

Rating filter applied to the fetched reviews.

Available options:
0,
1,
2
sync_date
string | null

Fetches reviews posted on a specific date using format: YYYY-MM-DD.

is_text_formatted
boolean
default:true

Returns the review text with visual formatting preserved.

pagination_data
object | null

Pagination metadata returned by previous requests.

Response

Reviews fetched successfully

all_reviews
object[]

Array of fetched reviews

extra_information
object
message
string

Status message about the review extraction