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feat: added searchscraper
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‎README.md

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├── introduction.mdx # Main introduction page
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├── services/ # Core services documentation
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│ ├── smartscraper.mdx # SmartScraper service
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│ ├── localscraper.mdx # LocalScraper service
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│ ├── searchscraper.mdx # SearchScraper service
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│ ├── markdownify.mdx # Markdownify service
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│ └── extensions/ # Browser extensions
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│ └── firefox.mdx # Firefox extension

‎api-reference/endpoint/localscraper/get-status.mdx

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‎api-reference/endpoint/localscraper/start.mdx

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‎api-reference/endpoint/searchscraper/get-status.mdx

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---
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title: 'Get SearchScraper Status'
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api: 'GET /v1/searchscraper/{request_id}'
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description: 'Get the status and results of a previous search request'
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---
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## Path Parameters
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<ParamField path="request_id" type="string" required>
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The unique identifier of the search request to retrieve.
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Example: "123e4567-e89b-12d3-a456-426614174000"
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</ParamField>
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## Response
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<ResponseField name="request_id" type="string">
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The unique identifier of the search request.
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</ResponseField>
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<ResponseField name="status" type="string">
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Status of the request. One of: "queued", "processing", "completed", "failed"
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</ResponseField>
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<ResponseField name="user_prompt" type="string">
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The original search query that was submitted.
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</ResponseField>
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<ResponseField name="result" type="object">
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The search results. If an output_schema was provided in the original request, this will be structured according to that schema.
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</ResponseField>
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<ResponseField name="reference_urls" type="array">
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List of URLs that were used as references for the answer.
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</ResponseField>
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<ResponseField name="error" type="string">
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Error message if the request failed. Empty string if successful.
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</ResponseField>
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## Example Request
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```bash
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curl 'https://api.scrapegraphai.com/v1/searchscraper/123e4567-e89b-12d3-a456-426614174000' \
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-H 'SGAI-APIKEY: YOUR_API_KEY'
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```
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## Example Response
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```json
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{
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"request_id": "123e4567-e89b-12d3-a456-426614174000",
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"status": "completed",
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"user_prompt": "What is the latest version of Python and what are its main features?",
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"result": {
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"version": "3.12",
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"release_date": "October 2, 2023",
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"major_features": [
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"Improved error messages",
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"Per-interpreter GIL",
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"Support for the Linux perf profiler",
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"Faster startup time"
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]
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},
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"reference_urls": [
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"https://www.python.org/downloads/",
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"https://docs.python.org/3.12/whatsnew/3.12.html"
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],
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"error": ""
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}
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```
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## Error Responses
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<ResponseField name="400" type="object">
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Returned when the request_id is not a valid UUID.
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```json
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{
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"error": "request_id must be a valid UUID"
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}
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```
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</ResponseField>
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<ResponseField name="404" type="object">
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Returned when the request_id is not found.
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```json
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{
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"error": "Request not found"
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}
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```
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</ResponseField>

‎api-reference/endpoint/searchscraper/start.mdx

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---
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title: 'Start SearchScraper'
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api: 'POST /v1/searchscraper'
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description: 'Start a new AI-powered web search request'
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---
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## Request Body
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<ParamField body="user_prompt" type="string" required>
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The search query or question you want to ask. This should be a clear and specific prompt that will guide the AI in finding and extracting relevant information.
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Example: "What is the latest version of Python and what are its main features?"
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</ParamField>
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<ParamField body="headers" type="object">
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Optional headers to customize the search behavior. This can include user agent, cookies, or other HTTP headers.
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Example:
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```json
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{
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
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"Cookie": "cookie1=value1; cookie2=value2"
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}
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```
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</ParamField>
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<ParamField body="output_schema" type="object">
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Optional schema to structure the output. If provided, the AI will attempt to format the results according to this schema.
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Example:
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```json
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{
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"properties": {
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"version": {"type": "string"},
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"release_date": {"type": "string"},
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"major_features": {"type": "array", "items": {"type": "string"}}
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},
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"required": ["version", "release_date", "major_features"]
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}
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```
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</ParamField>
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## Response
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<ResponseField name="request_id" type="string">
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Unique identifier for the search request. Use this ID to check the status and retrieve results.
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</ResponseField>
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<ResponseField name="status" type="string">
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Status of the request. One of: "queued", "processing", "completed", "failed"
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</ResponseField>
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<ResponseField name="user_prompt" type="string">
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The original search query that was submitted.
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</ResponseField>
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<ResponseField name="result" type="object">
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The search results. If an output_schema was provided, this will be structured according to that schema.
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</ResponseField>
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<ResponseField name="reference_urls" type="array">
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List of URLs that were used as references for the answer.
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</ResponseField>
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<ResponseField name="error" type="string">
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Error message if the request failed. Empty string if successful.
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</ResponseField>
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## Example Request
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```bash
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curl -X POST 'https://api.scrapegraphai.com/v1/searchscraper' \
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-H 'SGAI-APIKEY: YOUR_API_KEY' \
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-H 'Content-Type: application/json' \
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-d '{
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"user_prompt": "What is the latest version of Python and what are its main features?",
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"output_schema": {
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"properties": {
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"version": {"type": "string"},
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"release_date": {"type": "string"},
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"major_features": {"type": "array", "items": {"type": "string"}}
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},
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"required": ["version", "release_date", "major_features"]
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}
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}'
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```
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## Example Response
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```json
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{
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"request_id": "123e4567-e89b-12d3-a456-426614174000",
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"status": "completed",
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"user_prompt": "What is the latest version of Python and what are its main features?",
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"result": {
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"version": "3.12",
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"release_date": "October 2, 2023",
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"major_features": [
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"Improved error messages",
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"Per-interpreter GIL",
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"Support for the Linux perf profiler",
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"Faster startup time"
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]
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},
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"reference_urls": [
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"https://www.python.org/downloads/",
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"https://docs.python.org/3.12/whatsnew/3.12.html"
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],
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"error": ""
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}
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```

‎api-reference/endpoint/user/get-credits.mdx

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---
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This endpoint allows you to check your account's credit balance and usage. Each API request consumes a different number of credits:
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- Markdownify: 2 credits per webpage
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- SmartScraper: 5 credits per webpage
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- LocalScraper: 10 credits per webpage
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- Markdownify: 2 credits per request
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- SmartScraper: 10 credits per request
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- SearchScraper: 30 credits per request
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The response shows:
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- `remaining_credits`: Number of credits available for use

‎api-reference/endpoint/user/submit-feedback.mdx

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description: 'Submit feedback for a specific request with rating and optional comments.'
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---
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This endpoint allows you to submit feedback for any request you've made using our services (SmartScraper, LocalScraper, or Markdownify). Your feedback helps us improve our services.
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This endpoint allows you to submit feedback for any request you've made using our services (SmartScraper, SearchScraper, or Markdownify). Your feedback helps us improve our services.
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### Rating System
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- Rating scale: 0-5 stars

‎api-reference/errors.mdx

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"error": "Invalid HTML content"
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}
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```
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Applies to LocalScraper when the provided HTML is invalid.
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Applies to SmartScraper when the provided HTML is invalid.
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</Accordion>
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</AccordionGroup>
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‎api-reference/introduction.mdx

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## Overview
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The ScrapeGraphAI API provides powerful endpoints for AI-powered web scraping and content extraction. Our RESTful API allows you to extract structured data from any website, process local HTML content, and convert web pages to clean markdown.
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The ScrapeGraphAI API provides powerful endpoints for AI-powered web scraping and content extraction. Our RESTful API allows you to extract structured data from any website, perform AI-powered web searches, and convert web pages to clean markdown.
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## Authentication
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<Card title="SmartScraper" icon="robot" href="/api-reference/endpoint/smartscraper/start">
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Extract structured data from any website using AI
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</Card>
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<Card title="LocalScraper" icon="file-code" href="/api-reference/endpoint/localscraper/start">
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Process local HTML content with AI extraction
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<Card title="SearchScraper" icon="magnifying-glass" href="/api-reference/endpoint/searchscraper/start">
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Perform AI-powered web searches with structured results
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</Card>
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<Card title="Markdownify" icon="markdown" href="/api-reference/endpoint/markdownify/start">
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Convert web content to clean markdown

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