Add Activepieces integration for workflow automation

- Add Activepieces fork with SmoothSchedule custom piece
- Create integrations app with Activepieces service layer
- Add embed token endpoint for iframe integration
- Create Automations page with embedded workflow builder
- Add sidebar visibility fix for embed mode
- Add list inactive customers endpoint to Public API
- Include SmoothSchedule triggers: event created/updated/cancelled
- Include SmoothSchedule actions: create/update/cancel events, list resources/services/customers

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
poduck
2025-12-18 22:59:37 -05:00
parent 9848268d34
commit 3aa7199503
16292 changed files with 1284892 additions and 4708 deletions

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import { createAction, Property } from '@activepieces/pieces-framework';
import { httpClient, HttpMethod } from '@activepieces/pieces-common';
import { scrapegraphaiAuth } from '../../index';
export const localScraper = createAction({
name: 'local_scraper',
displayName: 'Local Scraper',
description: 'Extract content from HTML content using AI by providing a natural language prompt.',
auth: scrapegraphaiAuth,
props: {
website_html: Property.LongText({
displayName: 'HTML Content',
description: 'The HTML content to process (max 2MB).',
required: true,
}),
user_prompt: Property.LongText({
displayName: 'Extraction Prompt',
description: 'Describe what information you want to extract in natural language.',
required: true,
}),
output_schema: Property.Json({
displayName: 'Output Schema',
description: 'Optional schema to structure the output data.',
required: false,
}),
},
async run({ auth, propsValue }) {
const response = await httpClient.sendRequest({
method: HttpMethod.POST,
url: 'https://api.scrapegraphai.com/v1/localscraper',
headers: {
'Content-Type': 'application/json',
'SGAI-APIKEY': auth.secret_text,
},
body: {
website_html: propsValue.website_html,
user_prompt: propsValue.user_prompt,
output_schema: propsValue.output_schema,
},
});
return response.body;
},
});

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import { createAction, Property } from '@activepieces/pieces-framework';
import { httpClient, HttpMethod } from '@activepieces/pieces-common';
import { scrapegraphaiAuth } from '../../index';
export const markdownify = createAction({
name: 'markdownify',
displayName: 'Convert to Markdown',
description: 'Convert any webpage into clean, readable Markdown format.',
auth: scrapegraphaiAuth,
props: {
website_url: Property.ShortText({
displayName: 'Website URL',
description: 'The webpage URL to convert to Markdown',
required: true,
}),
},
async run({ auth, propsValue }) {
const response = await httpClient.sendRequest({
method: HttpMethod.POST,
url: 'https://api.scrapegraphai.com/v1/markdownify',
headers: {
'Content-Type': 'application/json',
'SGAI-APIKEY': auth.secret_text,
},
body: {
website_url: propsValue.website_url,
},
});
return response.body;
},
});

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import { createAction, Property } from '@activepieces/pieces-framework';
import { httpClient, HttpMethod } from '@activepieces/pieces-common';
import { scrapegraphaiAuth } from '../../index';
export const smartScraper = createAction({
name: 'smart_scraper',
displayName: 'Smart Scraper',
description: 'Extract content from a webpage using AI by providing a natural language prompt.',
auth: scrapegraphaiAuth,
props: {
website_url: Property.ShortText({
displayName: 'Website URL',
description: 'The webpage URL to scrape.',
required: true,
}),
user_prompt: Property.LongText({
displayName: 'Extraction Prompt',
description: 'Describe what information you want to extract in natural language.',
required: true,
}),
output_schema: Property.Json({
displayName: 'Output Schema',
description: 'Optional schema to structure the output data.',
required: false,
}),
},
async run({ auth, propsValue }) {
const response = await httpClient.sendRequest({
method: HttpMethod.POST,
url: 'https://api.scrapegraphai.com/v1/smartscraper',
headers: {
'Content-Type': 'application/json',
'SGAI-APIKEY': auth.secret_text,
},
body: {
website_url: propsValue.website_url,
user_prompt: propsValue.user_prompt,
output_schema: propsValue.output_schema,
},
});
return response.body;
},
});