# USDA Branded Food Product Master (`nexgenwatch/usda-branded-food-product-master`) Actor

One structured branded\_food\_record per branded product in USDA FoodData Central — GTIN/UPC, brand owner and name, serving size, market country, and publication dates.

- **URL**: https://apify.com/nexgenwatch/usda-branded-food-product-master.md
- **Developed by:** [NexGen Watch](https://apify.com/nexgenwatch) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $13.40 / 1,000 branded food records

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🔔 USDA Branded Food Product Master

One structured **branded\_food\_record** per branded product in USDA FoodData Central — GTIN/UPC, brand
owner and name, serving size, market country, and publication dates — pulled straight from the official
FDC data dump and carried **source-native and verbatim**.

**Differentiation:** this is the *filtered, billing-honest slice* of FDC's ~2-million-product branded
file, not a bulk re-host. You supply a filter — GTIN/UPC list, FDC IDs, brand owner, category, or market
country — and pay only for the delivered records. The 954 MB `branded_food.csv` member is streamed out of
the ZIP over HTTP range and **never emitted in full**; a hard scan bound keeps every run finite.

Output is one `branded_food_record` row per result; billing is pay-per-event, the value event being one branded food record (a $0.02 start fee per run, then $0.02 per branded food record). Source: fdc.nal.usda.gov.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out with an identified contact User-Agent.

Output is one `branded_food_record` row per result; billing is pay-per-event, the value event being one branded food record (a $0.02 start fee per run, then $0.02 per branded food record). Source: fdc.nal.usda.gov.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out with an identified contact User-Agent.

### 📊 Sample Output

[![USDA Branded Food Product Master sample output — a table of real branded food record rows (gtin\_upc, brand\_owner, household\_serving\_fulltext, branded\_food\_category) from run xRZ3dCahyllhsPll4 on build 0.1.5](https://api.apify.com/v2/key-value-stores/8gLgXMBveEI1tTz1z/records/usda-branded-food-product-master-sample)](https://apify.com/nexgenwatch/usda-branded-food-product-master?fpr=2ayu9b)

Real rows from run `xRZ3dCahyllhsPll4` on build 0.1.5 (2026-09-19), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

| gtin\_upc | brand\_owner | household\_serving\_fulltext | branded\_food\_category | market\_country | modified\_date |
|---|---|---|---|---|---|
| 00027000612323 | Richardson Oilseed Products (US) Limited | 1 Tbsp (15 ml) | Oils Edible | United States | 2020-10-02 |
| 00051000198808 | CAMPBELL SOUP COMPANY | Amount per serving | Herbs/Spices/Extracts | United States | 2020-09-12 |
| 00051000213273 | CAMPBELL SOUP COMPANY | PER CONTAINER | Prepared Soups | United States | 2020-09-01 |
| 00051000213303 | CAMPBELL SOUP COMPANY | PER CONTAINER | Prepared Soups | United States | 2020-09-01 |
| 00051000224637 | CAMPBELL SOUP COMPANY | Amount per Serving | Herbs/Spices/Extracts | United States | 2020-10-03 |
| 00051000227492 | CAMPBELL SOUP COMPANY | PER 1 CAN | Prepared Soups | United States | 2020-09-01 |
| 00051000024213 | CAMPBELL SOUP COMPANY | PER CAN | Herbs/Spices/Extracts | United States | 2020-10-03 |
| 00051000227478 | CAMPBELL SOUP COMPANY | Amount per serving | Sauces/Spreads/Dips/Condiments | United States | 2020-09-01 |

The run finished with the status message: `NORMAL: 50 unique rows (0 duplicates collapsed) from 2026-04-30. billable=50`

### ✅ What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is `null`):

- `record_type` (string/null) — e.g. `branded_food_record`
- `fdc_id` (string/null) — e.g. `1105904`
- `gtin_upc` (string/null) — e.g. `00027000612323`
- `brand_owner` (string/null) — e.g. `Richardson Oilseed Products (US) Limited`
- `brand_name` (string/null) — null in every sample row
- `subbrand_name` (string/null) — null in every sample row
- `serving_size` (string/null) — e.g. `15.0`
- `serving_size_unit` (string/null) — e.g. `ml`
- `household_serving_fulltext` (string/null) — e.g. `1 Tbsp (15 ml)`
- `branded_food_category` (string/null) — e.g. `Oils Edible`
- `market_country` (string/null) — e.g. `United States`
- `modified_date` (string/null) — e.g. `2020-10-02`
- `available_date` (string/null) — e.g. `2020-11-13`
- `discontinued_date` (string/null) — null in every sample row
- `data_source` (string/null) — e.g. `GDSN`
- `trade_channel` (string/null) — null in every sample row
- `short_description` (string/null) — null in every sample row
- `package_weight` (string/null) — null in every sample row
- `ingredients` (string/null) — e.g. `Vegetable Oil`
- `not_a_significant_source_of` (string/null) — null in every sample row
- `source_url` (string/null) — e.g. `https://fdc.nal.usda.gov/food-details/1105904/nutrients`
- `source` (string/null) — e.g. `usda-branded-food-product-master`
- `release_date` (string/null) — e.g. `2026-04-30`
- `observed_at` (string/null) — e.g. `2026-09-19T00:22:54Z`
- `release_checksum` (string/null) — e.g. `6a860d85-1cb35fb7`
- `license` (string/null) — e.g. `USDA FoodData Central — CC0 1.0 (public domain dedication). Cite: U.S. Departmen`
- `attribution` (string/null) — e.g. `USDA Agricultural Research Service — FoodData Central (https://fdc.nal.usda.gov)`
- `terminal` (string/null) — null in every sample row
- `scope` (string/null) — null in every sample row
- `note` (string/null) — null in every sample row
- `reported_total` (string/integer/null) — null in every sample row
- `raw_seen` (string/integer/null) — null in every sample row
- `duplicates` (string/integer/null) — null in every sample row
- `unique_found` (string/integer/null) — null in every sample row
- `delivered` (string/integer/null) — null in every sample row

**✅ What you get**

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is `null`):

- `record_type` (string/null) — e.g. `branded_food_record`
- `fdc_id` (string/null) — e.g. `1105904`
- `gtin_upc` (string/null) — e.g. `00027000612323`
- `brand_owner` (string/null) — e.g. `Richardson Oilseed Products (US) Limited`
- `brand_name` (string/null) — null in every sample row
- `subbrand_name` (string/null) — null in every sample row
- `serving_size` (string/null) — e.g. `15.0`
- `serving_size_unit` (string/null) — e.g. `ml`
- `household_serving_fulltext` (string/null) — e.g. `1 Tbsp (15 ml)`
- `branded_food_category` (string/null) — e.g. `Oils Edible`
- `market_country` (string/null) — e.g. `United States`
- `modified_date` (string/null) — e.g. `2020-10-02`
- `available_date` (string/null) — e.g. `2020-11-13`
- `discontinued_date` (string/null) — null in every sample row
- `data_source` (string/null) — e.g. `GDSN`
- `trade_channel` (string/null) — null in every sample row
- `short_description` (string/null) — null in every sample row
- `package_weight` (string/null) — null in every sample row
- `ingredients` (string/null) — e.g. `Vegetable Oil`
- `not_a_significant_source_of` (string/null) — null in every sample row
- `source_url` (string/null) — e.g. `https://fdc.nal.usda.gov/food-details/1105904/nutrients`
- `source` (string/null) — e.g. `usda-branded-food-product-master`
- `release_date` (string/null) — e.g. `2026-04-30`
- `observed_at` (string/null) — e.g. `2026-09-18T23:33:18Z`
- `release_checksum` (string/null) — e.g. `6a860d85-1cb35fb7`
- `license` (string/null) — e.g. `USDA FoodData Central — CC0 1.0 (public domain dedication). Cite: U.S. Departmen`
- `attribution` (string/null) — e.g. `USDA Agricultural Research Service — FoodData Central (https://fdc.nal.usda.gov)`
- `terminal` (string/null) — null in every sample row
- `scope` (string/null) — null in every sample row
- `note` (string/null) — null in every sample row
- `reported_total` (string/integer/null) — null in every sample row
- `raw_seen` (string/integer/null) — null in every sample row
- `duplicates` (string/integer/null) — null in every sample row
- `unique_found` (string/integer/null) — null in every sample row
- `delivered` (string/integer/null) — null in every sample row

### ⚙️ Sample inputs

**1. Quick start — the Store example (this is what the sample above came from)**

```json
{
  "marketCountry": "United States",
  "maxRecords": 50,
  "maxScanRows": 20000
}
```

The sample run charged exactly: 1 × $0.02 apify-actor-start + 50 × $0.02 branded\_food\_record = **$1.02** on the Free tier — every delivered row was billed.

**2. A smaller, narrowed run**

```json
{
  "marketCountry": "United States",
  "maxRecords": 5,
  "maxScanRows": 20000
}
```

Caps the run at 5 rows — about $0.12 on the Free tier ($0.02 start + 5 × $0.02). `marketCountry` narrows what the source is asked for.

**3. A full-size run**

```json
{
  "marketCountry": "United States",
  "maxRecords": 2500,
  "maxScanRows": 20000
}
```

Up to 2500 rows (the schema default for `maxRecords`) — about $50.02 on the Free tier ($0.02 start + 2500 × $0.02) if the source has that many.

### 🧾 JSON sample record

One real record from run `xRZ3dCahyllhsPll4`, exactly as it lands in the dataset (emails masked, long text shortened):

```json
{
  "record_type": "branded_food_record",
  "fdc_id": "1105904",
  "gtin_upc": "00027000612323",
  "brand_owner": "Richardson Oilseed Products (US) Limited",
  "brand_name": null,
  "subbrand_name": null,
  "serving_size": "15.0",
  "serving_size_unit": "ml",
  "household_serving_fulltext": "1 Tbsp (15 ml)",
  "branded_food_category": "Oils Edible",
  "market_country": "United States",
  "modified_date": "2020-10-02",
  "available_date": "2020-11-13",
  "discontinued_date": null,
  "data_source": "GDSN",
  "trade_channel": null,
  "short_description": null,
  "package_weight": null,
  "ingredients": "Vegetable Oil",
  "not_a_significant_source_of": null,
  "source_url": "https://fdc.nal.usda.gov/food-details/1105904/nutrients",
  "source": "usda-branded-food-product-master",
  "release_date": "2026-04-30",
  "observed_at": "2026-09-19T00:22:54Z",
  "release_checksum": "6a860d85-1cb35fb7",
  "license": "USDA FoodData Central — CC0 1.0 (public domain dedication). Cite: U.S. Department of Agriculture, Agricultural Research Service, FoodData Central.",
  "attribution": "USDA Agricultural Research Service — FoodData Central (https://fdc.nal.usda.gov)"
}
```

### 🔧 How it works

**Source.** The actor reads fdc.nal.usda.gov — endpoints: `https://fdc.nal.usda.gov`, `https://fdc.nal.usda.gov/fdc-datasets/FoodData_Central_csv_`. Public pages and feeds only; nothing behind a login.

**Transport.** Plain HTTPS from the Apify platform, no proxy. robots.txt is read first and a disallowed path is never fetched. Every request carries an identified contact User-Agent. Pacing: `CRAWL_DELAY`=0.0.

**Terminal states.** A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE\_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

**Charging.** Each branded food record is charged at the moment it is pushed (`branded_food_record`); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

**🔧 How it works**

**Transport.** Plain HTTPS from the Apify platform, no proxy. robots.txt is read first and a disallowed path is never fetched. Every request carries an identified contact User-Agent. Pacing: `CRAWL_DELAY`=0.0.

**Terminal states.** A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE\_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

**Charging.** Each branded food record is charged at the moment it is pushed (`branded_food_record`); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

**Source**

The official USDA FoodData Central full-CSV dump only —
`https://fdc.nal.usda.gov/fdc-datasets/FoodData_Central_csv_<release>.zip` (newest release auto-resolved
from the official download page; `branded_food.csv` member). robots.txt on `fdc.nal.usda.gov` is
`User-agent: * / Disallow:` (nothing disallowed). The FDC API and search routes are never touched. The
release date and the archive checksum (ETag) are carried on every record and in the run receipt.

**Filters (at least one required)**

`gtins` (GTIN/UPC list) · `fdcIds` · `brandOwner` (substring) · `category` (substring) · `marketCountry`.
No filter → a loud, unbilled Block. Results are capped by `maxRecords` (default 2500, max 5000) and
bounded by `maxScanRows` over the streamed member.

**What it does NOT do**

It emits **no medical, dietary, or allergen verdict of any kind**. The `ingredients` and
`not_a_significant_source_of` strings are the manufacturer's own label text, carried verbatim — this
actor makes no allergen or health determination. Cover images and book/marketing text are never involved.

**Licence**

USDA FoodData Central is released **CC0 1.0 (public domain dedication)**; these dumps add no new rights.
Cite: U.S. Department of Agriculture, Agricultural Research Service, FoodData Central
(https://fdc.nal.usda.gov).

**Billing**

Pay-per-event. `branded_food_record` is charged **once per delivered record** ($0.02). Volume tiers apply
a GOLD-floored −10 / −20 / −33% ladder. `apify-actor-start` ($0.02) is platform-reserved and never charged
in code. A filter that matches nothing is a clean GENUINE\_EMPTY — nothing billed.

**What is not done.** No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

**What is not done.** No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

### 💰 Pricing example

| Event | Free | Bronze | Silver | Gold |
|---|---|---|---|---|
| Actor Start (`apify-actor-start`) | $0.02 | $0.02 | $0.02 | $0.02 |
| Branded Food Record (`branded_food_record`) | $0.02 | $0.018 | $0.016 | $0.0134 |

Worked at the live Free-tier price:

- 8 branded food records: $0.02 start + 8 × $0.02 = **$0.18**
- 25 branded food records: $0.02 start + 25 × $0.02 = **$0.52**
- 2500 branded food records: $0.02 start + 2500 × $0.02 = **$50.02**

A run that delivers zero rows charges the $0.02 start fee only. A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 4096 MB.

Yield on the sample run: `NORMAL: 50 unique rows (0 duplicates collapsed) from 2026-04-30. billable=50`. `maxRecords` is a hard ceiling on what is delivered and billed, never a target.

### ⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by fdc.nal.usda.gov. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

### ❓ FAQ

**Q: Do I need an API key or a login?**\
A: No. The source (fdc.nal.usda.gov) is read logged-out; the input schema has no key field and the actor carries no secrets.

**Q: Why did my run return 0 rows?**\
A: Read the run's status message. GENUINE\_EMPTY means the source was read and had nothing in scope for your input; BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee only.

**Q: How many rows can one run return?**\
A: Up to `maxRecords` (default 2500). Raise the cap for a bigger run; you pay per delivered row.

**Q: How fresh is the data?**\
A: Every run reads the source live at run time; nothing is cached between runs. Put it on a schedule for a continuous feed.

**Q: What formats can I export?**\
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

**Q: How is this different from the other NexGen Watch actors actors?**\
A: Same output shape and billing model; this one covers fdc.nal.usda.gov. The siblings under **Related Actors** cover the other sources or slices — run several on one schedule for a combined feed.

**Q: Are there rate limits?**\
A: The actor paces itself against the source (`CRAWL_DELAY`=0.0) and honours its robots rules; there is no per-buyer limit beyond your Apify plan's concurrency.

### 🆘 Troubleshooting

- **Run FAILED with BLOCKED** → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
- **Status says CAPPED** → your cap (`maxRecords`) was reached → raise it for a bigger run.
- **Input validation error on start** → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
- **Run TIMED-OUT** → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.

### 🔗 Related Actors

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- [Texas Active Franchise Taxpayers](https://apify.com/nexgenwatch/texas-active-franchise-taxpayers?fpr=2ayu9b) — One record per active TX franchise taxpayer (identity, SOS/COA file number, organization type, charter/status dates, right-to-transact status) from t…
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- [USDA FDC Ingredient / Label Attribute Index](https://apify.com/nexgenwatch/usda-fdc-ingredient-label-attribute-index?fpr=2ayu9b) — One food\_attribute\_record per row of USDA FoodData Central's food\_attribute table — the heterogeneous per-food attribute values USDA records (an attr…
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- [USDA FDC Portion / Serving Weight Master](https://apify.com/nexgenwatch/usda-fdc-portion-serving-weight-master?fpr=2ayu9b) — One food\_portion\_record per row of USDA FoodData Central's food\_portion table — a food's serving/portion definition: portion ID, food FDC ID, serving…
- 🏢 **About NexGenData** — NexGen Watch is NexGenData's fleet of 281 public data actors built on official sources, pay-per-result. Browse the catalog at [apify.com/nexgenwatch](https://apify.com/nexgenwatch?fpr=2ayu9b).

### ⭐ Found this useful?

If this actor saved you a manual check, a quick **[review on the Apify Store](https://apify.com/nexgenwatch/usda-branded-food-product-master?fpr=2ayu9b)** helps other teams find it. Feature request or a source that changed? Open it from the **Issues** tab — every one is read.

# Actor input Schema

## `gtins` (type: `array`):

Exact GTIN/UPC barcodes, e.g. \["00027000612323"]. Leading zeros are ignored on match. At least one filter (gtins / fdcIds / brandOwner / category / marketCountry) is REQUIRED — the 954 MB branded\_food member is never emitted in full.

## `fdcIds` (type: `array`):

Exact FoodData Central fdc\_id values, e.g. \["1105904"].

## `brandOwner` (type: `string`):

Case-insensitive substring of brand\_owner or brand\_name, e.g. "General Mills".

## `category` (type: `string`):

Case-insensitive substring of branded\_food\_category, e.g. "Cereal".

## `marketCountry` (type: `string`):

Exact market\_country, e.g. "United States".

## `maxRecords` (type: `integer`):

Max branded\_food records delivered (buyer bound; one charge per delivered record). Hard-capped at 5000.

## `maxScanRows` (type: `integer`):

Hard scan bound over the streamed branded\_food.csv member — guarantees a finite run over the 954 MB member. Default 200000; PARTIAL if the cap is not reached within it.

## `releaseUrl` (type: `string`):

Pin a specific FoodData\_Central\_csv\_<date>.zip URL. Default: newest release auto-resolved from the official download page.

## `userAgent` (type: `string`):

Override the transparent crawler UA.

## Actor input object example

```json
{
  "gtins": [],
  "fdcIds": [],
  "marketCountry": "United States",
  "maxRecords": 50,
  "maxScanRows": 20000
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "marketCountry": "United States",
    "maxRecords": 50,
    "maxScanRows": 20000
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgenwatch/usda-branded-food-product-master").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "marketCountry": "United States",
    "maxRecords": 50,
    "maxScanRows": 20000,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgenwatch/usda-branded-food-product-master").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "marketCountry": "United States",
  "maxRecords": 50,
  "maxScanRows": 20000
}' |
apify call nexgenwatch/usda-branded-food-product-master --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgenwatch/usda-branded-food-product-master"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/7mvWdfBpTzh2lLACQ/builds/umVqbJjlHGVTufpts/openapi.json