Get every restaurant and dish from food and travel videos

A food tour names a place, where it is and what the host ordered, again and again. Ask for those three fields and get a row each time a place comes up, with the dishes as a list.

Try it with 3,000 free creditsRead the quickstart
Maps and guides built from what creators actually visit.
Travel and hospitality research across channels and cities.
Tracking where a restaurant has been featured.
The schema

Describe the fields once

dishes is a list column, so three dishes at one place stay one row. When a place comes up again later in the video, its rows merge and the dish lists are combined.

request body
POST /v1, minus videos
{
"multiple": true,
"schema": [
{
"name": "restaurant_name",
"type": "verbatim-string",
"description": "Name of each restaurant, diner or food spot the host visits"
},
{
"name": "city",
"type": "string",
"description": "The city or town the place is in, if the host says it"
},
{
"name": "dishes",
"type": "string[]",
"description": "Every dish or drink the host orders or eats at this place"
}
]
}
rows
illustrative output
[
{
"restaurant_name": "Mel's Drive-In",
"city": "Los Angeles",
"dishes": [
"double cheeseburger",
"chocolate shake"
]
},
{
"restaurant_name": "Lucy's Drive-In",
"city": "Pasadena",
"dishes": [
"breakfast burrito"
]
}
]

The output above shows the shape a video returns, not a recorded result. Types are enforced: numbers come back as numbers, list columns as arrays.

Good to know

Getting the best results

What it costs

A 26-minute video is 260 credits: 10 per started minute, however many rows come back. Videos that fail, such as those without captions, are never charged. See pricing.

  • TubeExtract works from what is said in the video, reading its existing captions, manual or auto-generated. Videos without captions return no_captions and are never charged.
  • On our own test video, a 26-minute restaurant tour, the current pipeline returned all 7 restaurants and invented none. That is one video with an answer key we wrote, not a general accuracy figure.
  • Near spellings of the same name in auto-captions are merged into one row for you.
  • Tours where the host names each stop out loud work best: every named place becomes its own row.
Run it

One call, up to 200 videos

Send the schema with your list of videos, then read the job once every video has finished.

curl https://api.tubeextract.dev/v1 \
  -H "X-API-Key: $TUBEEXTRACT_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "videos": [
    "https://youtube.com/watch?v=…"
  ],
  "multiple": true,
  "schema": [
    {
      "name": "restaurant_name",
      "type": "verbatim-string",
      "description": "Name of each restaurant, diner or food spot the host visits"
    },
    {
      "name": "city",
      "type": "string",
      "description": "The city or town the place is in, if the host says it"
    },
    {
      "name": "dishes",
      "type": "string[]",
      "description": "Every dish or drink the host orders or eats at this place"
    }
  ]
}'
List columns and a row per mention →Quickstart →
More use cases
Product reviews

Turn video product reviews into a dataset: product names, prices, verdicts and pros as typed JSON rows, from 1 to 200 videos per API call.

See the schema
Competitor analysis

See how YouTube reviews and comparisons talk about you and your competitors: every brand named, how it is compared, the sentiment and the price, as typed JSON rows.

See the schema
Podcasts and interviews

Turn video podcasts and interviews into structured data: guests, their roles, topics and the claims they make, as JSON rows via API.

See the schema
Courses and tutorials

Extract the steps, explanations and tools from tutorials and course videos as structured JSON, for study guides, search and learning apps.

See the schema
Company & model names

Company and model NER for tech videos: every company and model name from gadget reviews and comparisons as typed JSON rows, with price and verdict, from 1 to 200 videos per API call.

See the schema

Try it on your own videos

New accounts start with 3,000 credits, about 300 minutes of video. Paste the schema above, point it at a video, and check the rows.

Get an API keyRead the docs