7e1d95c783
* add a git pull from origin master before commit auto changes * dummy bump 2 connectors * pull from current branch not master * auto-bump connector version * dummy bump 2 connectors * revert faker bump * auto-bump connector version * better descript in changelog * dummy bump... again * commit first, then pull merge, then push * auto-bump connector version * auto-bump connector version Co-authored-by: Octavia Squidington III <octavia-squidington-iii@users.noreply.github.com>
52 lines
2.6 KiB
Markdown
52 lines
2.6 KiB
Markdown
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description: Web scraping and automation platform.
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---
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# Apify Dataset
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## Overview
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[Apify](https://www.apify.com) is a web scraping and web automation platform providing both ready-made and custom solutions, an open-source [SDK](https://sdk.apify.com/) for web scraping, proxies, and many other tools to help you build and run web automation jobs at scale.
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The results of a scraping job are usually stored in [Apify Dataset](https://docs.apify.com/storage/dataset). This Airbyte connector allows you to automatically sync the contents of a dataset to your chosen destination using Airbyte.
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To sync data from a dataset, all you need to know is its ID. You will find it in [Apify console](https://my.apify.com/) under storages.
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### Running Airbyte sync from Apify webhook
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When your Apify job \(aka [actor run](https://docs.apify.com/actors/running)\) finishes, it can trigger an Airbyte sync by calling the Airbyte [API](https://airbyte-public-api-docs.s3.us-east-2.amazonaws.com/rapidoc-api-docs.html#post-/v1/connections/sync) manual connection trigger \(`POST /v1/connections/sync`\). The API can be called from Apify [webhook](https://docs.apify.com/webhooks) which is executed when your Apify run finishes.
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### Output schema
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Since the dataset items do not have strongly typed schema, they are synced as objects, without any assumption on their content.
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### Features
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| Feature | Supported? |
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| :--- | :--- |
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| Full Refresh Sync | Yes |
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| Incremental Sync | No |
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### Performance considerations
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The Apify dataset connector uses [Apify Python Client](https://docs.apify.com/apify-client-python) under the hood and should handle any API limitations under normal usage.
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## Getting started
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### Requirements
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* Apify [dataset](https://docs.apify.com/storage/dataset) ID
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### Changelog
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| Version | Date | Pull Request | Subject |
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| :--- | :--- | :--- | :--- |
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| 0.1.11 | 2022-04-27 | [12397](https://github.com/airbytehq/airbyte/pull/12397) | No changes. Used connector to test publish workflow changes. |
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| 0.1.9 | 2022-04-05 | [PR\#11712](https://github.com/airbytehq/airbyte/pull/11712) | No changes from 0.1.4. Used connector to test publish workflow changes. |
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| 0.1.4 | 2021-12-23 | [PR\#8434](https://github.com/airbytehq/airbyte/pull/8434) | Update fields in source-connectors specifications |
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| 0.1.2 | 2021-11-08 | [PR\#7499](https://github.com/airbytehq/airbyte/pull/7499) | Remove base-python dependencies |
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| 0.1.0 | 2021-07-29 | [PR\#5069](https://github.com/airbytehq/airbyte/pull/5069) | Initial version of the connector |
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