# DeepL Translate Scraper - Low-cost๐ฒ๐ฅ๐๐ค (`delectable_incubator/deepl-translate-scraper-low-cost`) Actor
Scrape DeepL translation results ๐๐ with a powerful language data scraper. Extract original text, translated text, language pairs, timestamps, and translation metadata. Ideal for multilingual research, language learning, localization analysis, NLP projects, and structured translation datasets ๐๐
- **URL**: https://apify.com/delectable\_incubator/deepl-translate-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Automation, AI, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
---
## DeepL Translate Scraper ๐๐ค๐
The DeepL Translate Scraper is a powerful and scalable Apify Actor designed to translate text in bulk using DeepL's high-quality translation engine.
It enables multilingual content generation, localization workflows, international SEO, market research, customer support automation, document translation, and structured translation dataset generation across multiple languages.
---
### ๐ฏ What This Scraper Does
Simply provide a list of phrases, select the source language and target language, and the scraper handles everything automatically.
โ
Translates multiple phrases in a single run
โ
Supports bulk text translation
โ
Uses DeepL translation technology
โ
Processes large lists of phrases automatically
โ
Extracts structured translation results
โ
Captures language pair information
โ
Includes processing timestamps
โ
Generates clean and structured datasets
โ
Ready for localization and automation workflows
โ
Export-ready output format
---
### ๐ Data Extracted
#### ๐ Translation Information
| Field | Description |
| -------------------- | -------------------------------- |
| ๐ `timestamp` | Translation processing timestamp |
| ๐ `original_text` | Original source text |
| ๐ `translated_text` | Translated output text |
| ๐ `language_pair` | Source and target language pair |
---
### ๐ How to Use
#### 1๏ธโฃ Configure Input
Provide your phrases and translation languages:
```json
{
"phrases": [
"hello guys how are you doing? i hope you are okay",
"This is a second example sentence to translate",
"Good morning, have a nice day"
],
"lang": "english",
"desired_lang": "spanish"
}
````
#### 2๏ธโฃ Run the Actor
โข Loads the provided phrases
โข Sends text to DeepL translation engine
โข Processes translations automatically
โข Extracts translated content
โข Captures language pair metadata
โข Generates structured output
#### 3๏ธโฃ Export the Dataset
Download your results in multiple formats:
โ
JSON
โ
CSV
โ
Excel
โ
XML
โ
HTML
***
### โ๏ธ Input Configuration
#### ๐ฅ Input Example
```json
{
"phrases": [
"hello guys how are you doing? i hope you are okay",
"This is a second example sentence to translate",
"Good morning, have a nice day"
],
"lang": "english",
"desired_lang": "spanish"
}
```
#### Input Fields
| Field | Type | Description |
| -------------- | ------ | ---------------------------- |
| `phrases` | array | List of phrases to translate |
| `lang` | string | Source language |
| `desired_lang` | string | Target translation language |
***
### ๐ค Output Example
```json
{
"timestamp": "2025-03-27T22:17:12.835135+00:00",
"original_text": "hello guys how are you doing? i hope you are okay",
"translated_text": "hola chicos ยฟcรณmo estรกn? espero que estรฉn bien",
"language_pair": "enโes"
}
```
***
### ๐ Output Explanation
| Use Case | Description |
| ----------------------- | ------------------------------------------------ |
| ๐ Localization | Translate websites, apps, and documents |
| ๐ International SEO | Create multilingual content for global audiences |
| ๐ค Automation Workflows | Feed translated content into pipelines |
| ๐ข Business Expansion | Support international communication |
| ๐ Research & Analysis | Translate datasets and text collections |
***
### ๐ Why Use This Scraper?
๐ Translate content at scale
โก Fast and automated translation workflows
๐ Generate structured multilingual datasets
๐ Process large batches of text automatically
๐ค Automation-ready output
๐ Support international markets and audiences
๐ฆ Bulk translation support
๐ง Ideal for marketers, researchers, agencies, and localization teams
๐ Scalable for both small and enterprise workloads
***
### โ FAQ
#### How does this scraper work?
The scraper receives a list of phrases, sends them to the DeepL translation engine, and returns structured translation results including original text, translated text, timestamps, and language pair information.
#### Can I translate multiple phrases in one run?
Yes. You can provide as many phrases as needed inside the `phrases` array.
#### Does the scraper support different language pairs?
Yes. You can specify the source language and the desired target language.
#### Can I automate recurring translations?
Yes. You can schedule recurring Apify runs to automatically process new content.
#### Is the translation generated live?
Yes. Translations are processed during every Actor run.
#### What export formats are supported?
JSON, CSV, Excel, XML, and HTML.
#### Can I use the translated data commercially?
Yes. The generated translations can be used for business, research, analytics, automation, and commercial applications.
#### What happens if the scraper fails?
The Actor includes retry mechanisms and automated error handling to improve reliability.
#### How long does a run take?
Most translation jobs complete within seconds, depending on the number of phrases submitted.
***
### ๐ How to Use
1๏ธโฃ Sign up โ Create a free Apify account
2๏ธโฃ Find the tool โ Search for "DeepL Translate Scraper" in the Apify Store
3๏ธโฃ Configure input โ Add phrases and language settings
4๏ธโฃ Run it โ Start the Actor and wait for translation
5๏ธโฃ Export data โ Download results in JSON, CSV, Excel, XML, or HTML
***
### โ ๏ธ Disclaimer
This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by DeepL.
***
### ๐ธ Pricing
This scraper runs on a **pay per events subscription model**.
You only pay for **successful runs**.
๐ณ **Price:** $9.99 / 1000 results
***
### Related Actors
If you're interested in other AI, Translation, Language Processing, Content Generation, Research, Marketing, or Automation scraping solutions, explore more tools:
(Coming soon)
***
### ๐ฌ Support
โญโญโญโญโญ Leave a 5-star rating if you like this tool
***
### ๐ PrimeScrape
Built for scalable web data extraction & automation.
Contact us for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `phrases` (type: `array`):
Enter the texts you want to translate.
## `source_language` (type: `string`):
Choose the language of the text you want to translate from... ๐
## `target_language` (type: `string`):
Choose the language you want to translate the text into ... ๐
## Actor input object example
```json
{
"phrases": [
"Hello guys how are you doing? i hope you are okey",
"I have been to Paris last summer, during the olympic games 2024",
"This is a second example sentence to translate",
"Good morning, have a nice day"
],
"source_language": "english ๐ฌ๐ง",
"target_language": "spanish ๐ช๐ธ"
}
```
# Actor output Schema
## `overview` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"phrases": [
"Hello guys how are you doing? i hope you are okey",
"I have been to Paris last summer, during the olympic games 2024",
"This is a second example sentence to translate",
"Good morning, have a nice day"
],
"source_language": "english ๐ฌ๐ง",
"target_language": "spanish ๐ช๐ธ"
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/deepl-translate-scraper-low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"phrases": [
"Hello guys how are you doing? i hope you are okey",
"I have been to Paris last summer, during the olympic games 2024",
"This is a second example sentence to translate",
"Good morning, have a nice day",
],
"source_language": "english ๐ฌ๐ง",
"target_language": "spanish ๐ช๐ธ",
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/deepl-translate-scraper-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"phrases": [
"Hello guys how are you doing? i hope you are okey",
"I have been to Paris last summer, during the olympic games 2024",
"This is a second example sentence to translate",
"Good morning, have a nice day"
],
"source_language": "english ๐ฌ๐ง",
"target_language": "spanish ๐ช๐ธ"
}' |
apify call delectable_incubator/deepl-translate-scraper-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/deepl-translate-scraper-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "DeepL Translate Scraper - Low-cost๐ฒ๐ฅ๐๐ค",
"description": "Scrape DeepL translation results ๐๐ with a powerful language data scraper. Extract original text, translated text, language pairs, timestamps, and translation metadata. Ideal for multilingual research, language learning, localization analysis, NLP projects, and structured translation datasets ๐๐",
"version": "0.0",
"x-build-id": "Yhp3gOd5KKeRjPXkH"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~deepl-translate-scraper-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-deepl-translate-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~deepl-translate-scraper-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-deepl-translate-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~deepl-translate-scraper-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-deepl-translate-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"phrases"
],
"properties": {
"phrases": {
"title": "Texts to translate",
"type": "array",
"description": "Enter the texts you want to translate.",
"default": [
"Hello guys how are you doing? i hope you are okey",
"I have been to Tokyo last summer, during the olympic games 2020",
"This is a third example sentence to translate",
"Good morning, have a nice day bro "
],
"items": {
"type": "string"
}
},
"source_language": {
"title": "๐ Select the language of the input sentences/paragraphs",
"enum": [
"english ๐ฌ๐ง",
"french ๐ซ๐ท",
"spanish ๐ช๐ธ",
"german ๐ฉ๐ช",
"italian ๐ฎ๐น",
"portuguese ๐ต๐น",
"chinese ๐จ๐ณ",
"japanese ๐ฏ๐ต",
"korean ๐ฐ๐ท",
"russian ๐ท๐บ",
"arabic ๐ธ๐ฆ",
"dutch ๐ณ๐ฑ",
"swedish ๐ธ๐ช",
"norwegian ๐ณ๐ด",
"polish ๐ต๐ฑ",
"greek ๐ฌ๐ท",
"turkish ๐น๐ท",
"hindi ๐ฎ๐ณ",
"czech ๐จ๐ฟ",
"hungarian ๐ญ๐บ",
"danish ๐ฉ๐ฐ",
"finnish ๐ซ๐ฎ",
"romanian ๐ท๐ด",
"thai ๐น๐ญ",
"vietnamese ๐ป๐ณ",
"indonesian ๐ฎ๐ฉ",
"malay ๐ฒ๐พ",
"bengali ๐ง๐ฉ",
"ukrainian ๐บ๐ฆ",
"swahili ๐ฐ๐ช",
"catalan ๐ช๐ธ",
"serbian ๐ท๐ธ",
"croatian ๐ญ๐ท",
"bulgarian ๐ง๐ฌ",
"slovak ๐ธ๐ฐ",
"slovenian ๐ธ๐ฎ",
"latvian ๐ฑ๐ป",
"estonian ๐ช๐ช",
"lithuanian ๐ฑ๐น",
"icelandic ๐ฎ๐ธ",
"malayalam ๐ฎ๐ณ",
"telugu ๐ฎ๐ณ",
"tamil ๐ฎ๐ณ",
"kannada ๐ฎ๐ณ",
"marathi ๐ฎ๐ณ",
"gujarati ๐ฎ๐ณ",
"punjabi ๐ฎ๐ณ",
"malagasy ๐ฒ๐ฌ",
"armenian ๐ฆ๐ฒ",
"georgian ๐ฌ๐ช",
"kazakh ๐ฐ๐ฟ",
"mongolian ๐ฒ๐ณ",
"tajik ๐น๐ฏ",
"uzbek ๐บ๐ฟ",
"turkmen ๐น๐ฒ",
"kyrgyz ๐ฐ๐ฌ",
"pashto ๐ฆ๐ซ",
"nepali ๐ณ๐ต",
"sinhala ๐ฑ๐ฐ",
"javanese ๐ฎ๐ฉ",
"sundanese ๐ฎ๐ฉ"
],
"type": "string",
"description": "Choose the language of the text you want to translate from... ๐",
"default": "english ๐ฌ๐ง"
},
"target_language": {
"title": "๐ Select the language you want the text to be translated into",
"enum": [
"english ๐ฌ๐ง",
"french ๐ซ๐ท",
"spanish ๐ช๐ธ",
"german ๐ฉ๐ช",
"italian ๐ฎ๐น",
"portuguese ๐ต๐น",
"chinese ๐จ๐ณ",
"japanese ๐ฏ๐ต",
"korean ๐ฐ๐ท",
"russian ๐ท๐บ",
"arabic ๐ธ๐ฆ",
"dutch ๐ณ๐ฑ",
"swedish ๐ธ๐ช",
"norwegian ๐ณ๐ด",
"polish ๐ต๐ฑ",
"greek ๐ฌ๐ท",
"turkish ๐น๐ท",
"hindi ๐ฎ๐ณ",
"czech ๐จ๐ฟ",
"hungarian ๐ญ๐บ",
"danish ๐ฉ๐ฐ",
"finnish ๐ซ๐ฎ",
"romanian ๐ท๐ด",
"thai ๐น๐ญ",
"vietnamese ๐ป๐ณ",
"indonesian ๐ฎ๐ฉ",
"malay ๐ฒ๐พ",
"bengali ๐ง๐ฉ",
"ukrainian ๐บ๐ฆ",
"swahili ๐ฐ๐ช",
"catalan ๐ช๐ธ",
"serbian ๐ท๐ธ",
"croatian ๐ญ๐ท",
"bulgarian ๐ง๐ฌ",
"slovak ๐ธ๐ฐ",
"slovenian ๐ธ๐ฎ",
"latvian ๐ฑ๐ป",
"estonian ๐ช๐ช",
"lithuanian ๐ฑ๐น",
"icelandic ๐ฎ๐ธ",
"malayalam ๐ฎ๐ณ",
"telugu ๐ฎ๐ณ",
"tamil ๐ฎ๐ณ",
"kannada ๐ฎ๐ณ",
"marathi ๐ฎ๐ณ",
"gujarati ๐ฎ๐ณ",
"punjabi ๐ฎ๐ณ",
"malagasy ๐ฒ๐ฌ",
"armenian ๐ฆ๐ฒ",
"georgian ๐ฌ๐ช",
"kazakh ๐ฐ๐ฟ",
"mongolian ๐ฒ๐ณ",
"tajik ๐น๐ฏ",
"uzbek ๐บ๐ฟ",
"turkmen ๐น๐ฒ",
"kyrgyz ๐ฐ๐ฌ",
"pashto ๐ฆ๐ซ",
"nepali ๐ณ๐ต",
"sinhala ๐ฑ๐ฐ",
"javanese ๐ฎ๐ฉ",
"sundanese ๐ฎ๐ฉ"
],
"type": "string",
"description": "Choose the language you want to translate the text into ... ๐",
"default": "spanish ๐ช๐ธ"
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```