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To export an Apify website screenshot to Amazon S3, keep the image as a binary record in an Apify key-value store, retrieve its bytes, then upload them to an S3 object with AWS PutObject. Apify’s S3 Uploader is documented for dataset exports; that does not establish that it copies screenshot files directly from a key-value store.
Choose the right Apify storage for screenshots
A screenshot is an image file, not a structured row. Apify identifies key-value stores as suitable for files such as screenshots, and its JavaScript SDK v1.3 example saves a screenshot buffer with the image/png content type. Use a dataset separately for structured metadata, such as the source URL, screenshot key, capture time, and eventual S3 object key.
| Need | Use | Important distinction |
|---|---|---|
| Preserve screenshot bytes | Apify key-value store | Stores file-like records, including images. |
| Keep screenshot metadata or a manifest | Apify dataset | Designed for sequential structured items and standard tabular/data exports. |
| Export dataset content to S3 | Apify S3 Uploader | Its documented scope is dataset-to-S3 transfer, not proven key-value-store image copying. |
| Export screenshot files to S3 | Download and upload, or a custom bridge | Transfer the image bytes to an S3 object using an AWS upload operation. |
Apify’s storage overview describes the platform’s storage options at Apify storage. See the key-value store API, dataset documentation, and JavaScript SDK v1.3 screenshot example for the respective storage patterns. Check the retention behavior of the particular store you use; the dataset documentation’s unnamed-dataset expiration rule should not be assumed to define key-value-store retention.
Capture and store the screenshot in Apify
If your Actor already creates a screenshot record, identify its key and retrieve that record instead of capturing the page again. Otherwise, the following illustrates Apify’s documented JavaScript SDK v1.3 pattern: capture a buffer, create a record key, and save the image with its MIME type. Adapt it to the Actor and SDK version you actually run.
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const screenshot = await page.screenshot({ type: 'png' });
const key = 'screenshots/example.png';
await keyValueStore.setValue(key, screenshot, {
contentType: 'image/png',
});The exact example and API shape are version-specific; consult the v1.3 screenshot example and current SDK documentation before deploying. Use a predictable record key so the transfer step can locate the image. For multiple captures, store their keys and metadata in a dataset manifest rather than treating the dataset as the image store.
Upload the image bytes to Amazon S3
For a one-time transfer, retrieve or download the image record from Apify, then upload the bytes to your bucket. For a recurring transfer, have an Actor or external service retrieve each record and call S3 PutObject. The basic AWS SDK for JavaScript v3 pattern below uploads an existing local PNG file; obtain that file by downloading the Apify record first.
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import { readFile } from 'node:fs/promises';
import { S3Client, PutObjectCommand } from '@aws-sdk/client-s3';
const client = new S3Client({ region: process.env.AWS_REGION });
const imageBytes = await readFile('./example.png');
await client.send(new PutObjectCommand({
Bucket: process.env.S3_BUCKET,
Key: 'apify/screenshots/run-123/example.png',
Body: imageBytes,
ContentType: 'image/png',
}));Install the AWS SDK package with npm install @aws-sdk/client-s3, configure AWS credentials using your approved environment or role-based method, and set AWS_REGION and S3_BUCKET. This sample is an implementation pattern, not a claim that an upload was run or verified. AWS documents the object key, request body, and upload operation in its PutObject API reference.
Choose object keys before batch export
Decide a stable key scheme before uploading many images, such as apify/screenshots/<run-id>/<safe-name>.png. An S3 key is the object’s name/path, so normalize source URLs before incorporating any part of them: raw URLs can contain characters or query values that make poor, inconsistent names. Include a run identifier or timestamp when you need to preserve multiple captures rather than overwrite one object.
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Set permissions and verify the result
- Grant the Actor or transfer service only the permissions needed for the destination bucket and prefix.
- Keep AWS credentials out of source control and logs; prefer the credential mechanism supported by your execution environment.
- New S3 objects are private by default unless access is granted. Choose an access method deliberately for the intended consumer instead of making objects public by assumption.
- After upload, verify the expected bucket and key, the stored content type, and that the intended consumer can read the object.
When to use Apify’s S3 Uploader
Use the official Apify S3 Uploader when the material you want to export is an Apify dataset, such as a JSON, CSV, or XML manifest of screenshot metadata. Apify’s dataset-to-S3 guide describes that integration. Confirm the current Actor input schema and output layout for your chosen export.
Do not assume this dataset integration transfers binary image records stored in a key-value store. For the screenshot files themselves, retrieve each record and upload its bytes through the AWS API or SDK. A manifest-plus-images workflow can use the uploader for structured dataset content and a separate custom transfer for each image.
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Common problems and fixes
- The S3 Uploader does not find screenshots: Check whether your screenshots are key-value-store records rather than dataset rows. Retrieve those records and use a byte-upload step; use the uploader for dataset content.
- The object exists but is not a usable image: Ensure the request body contains the screenshot bytes, not a URL, serialized metadata, or a text representation of the buffer. Set the matching content type, such as
image/png. - The upload is denied: Check the execution role or credentials, bucket name and region, and permissions for the specific destination bucket and prefix.
- Images overwrite one another: Your object keys may be identical. Add a run identifier, timestamp, or sanitized unique component where each capture must remain distinct.
- The object cannot be read by its consumer: Confirm the key and access path, then grant only the access required. S3 objects are private by default unless access is granted.
- A later transfer cannot find an earlier record: Verify the key-value store identity and its retention settings. Do not infer a key-value-store retention period from dataset behavior.
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If you need to create the screenshot as well as export it, ScreenshotNeo returns a screenshot from one GET request; you can save the response bytes and then upload them to S3 with the same PutObject pattern above. The API documentation is at ScreenshotNeo docs.
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Can Apify’s S3 Uploader copy a screenshot directly from a key-value store?
The documented integration covers dataset uploads; it does not establish direct key-value-store image copying.
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Should screenshot metadata go in the same place as the image?
Keep image bytes in a key-value store and use a dataset for structured metadata or a manifest.
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