Extract products, prices and verdicts from video reviews

Review channels say the product name, the price and whether to buy it out loud. Describe those fields once and get a row for every product mention in every video, typed so a price comes back as a number.

Try it with 3,000 free creditsRead the quickstart
Price and market research across many review channels.
Affiliate and comparison sites that track what reviewers recommend.
Brand teams watching how their products are reviewed.
The schema

Describe the fields once

The first column is verbatim-string so product names come back exactly as spoken, and price is a number, so a value the host never says is left empty rather than guessed.

request body
POST /v1, minus videos
{
"multiple": true,
"max_rows": 20,
"schema": [
{
"name": "product",
"type": "verbatim-string",
"description": "Name of each product the host reviews, as they say it"
},
{
"name": "price",
"type": "number",
"description": "The price the host says the product costs, as a number; leave empty if no price is said"
},
{
"name": "verdict",
"type": "enum",
"options": [
"buy",
"wait",
"skip"
],
"description": "Whether the host tells viewers to buy it, wait, or skip it"
},
{
"name": "pros",
"type": "string[]",
"description": "Each advantage the host names for this product"
}
]
}
rows
illustrative output
[
{
"product": "Aurora X2",
"price": 249,
"verdict": "buy",
"pros": [
"noise cancelling",
"battery life"
]
},
{
"product": "Aurora X2 Lite",
"price": 129,
"verdict": "wait",
"pros": [
"weight"
]
}
]

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 18-minute video is 180 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.
  • Prices, products and verdicts come from what the host says, so channels that talk through their picks give the richest rows.
  • An enum column for the verdict gives every product one consistent label across all your videos, ready to filter and count.
  • Each video is billed for its length, however many products it covers.
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,
  "max_rows": 20,
  "schema": [
    {
      "name": "product",
      "type": "verbatim-string",
      "description": "Name of each product the host reviews, as they say it"
    },
    {
      "name": "price",
      "type": "number",
      "description": "The price the host says the product costs, as a number; leave empty if no price is said"
    },
    {
      "name": "verdict",
      "type": "enum",
      "options": [
        "buy",
        "wait",
        "skip"
      ],
      "description": "Whether the host tells viewers to buy it, wait, or skip it"
    },
    {
      "name": "pros",
      "type": "string[]",
      "description": "Each advantage the host names for this product"
    }
  ]
}'
Writing a schema →Batching 200 videos →
More use cases
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
Food and travel videos

Build a list of every restaurant, city and dish from food and travel videos, returned as structured JSON rows through one API call.

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