> ## Documentation Index > Fetch the complete documentation index at: https://docs.hobbo.ai/llms.txt > Use this file to discover all available pages before exploring further. # Product Hunt Reviews > This endpoint is used to fetch reviews from a Product Hunt product specified by its query name. ## OpenAPI ````yaml POST /product-hunt/reviews openapi: 3.1.0 info: title: OpenAPI Plant Store description: >- A sample API that uses a plant store as an example to demonstrate features in the OpenAPI specification license: name: MIT version: 1.0.0 servers: - url: https://api.hobbo.ai description: Main API server - url: https://py-api.hobbo.ai description: Python API server for scraper endpoints security: - ApiKeyAuth: [] paths: /product-hunt/reviews: post: description: >- This endpoint is used to fetch reviews from a Product Hunt product specified by its query name. requestBody: description: Product Hunt review scraping parameters content: application/json: schema: $ref: '#/components/schemas/ProductHuntReviewsRequest' required: true responses: '200': description: Reviews fetched successfully content: application/json: schema: $ref: '#/components/schemas/ProductHuntReviewsResponse' examples: validationError: value: all_reviews: [] extra_information: {} message: '400': description: Validation error or unexpected error content: application/json: schema: $ref: '#/components/schemas/Error' examples: validationError: value: error: servers: - url: https://py-api.hobbo.ai components: schemas: ProductHuntReviewsRequest: type: object required: - query properties: query: type: string description: Provide proper product_hunt profile URL or product_slug. sort_type: type: string description: Order in which reviews should be sorted enum: - best - favorable - critical default: best filter_type: type: integer description: Filter type for reviews reviews_to_fetch: type: number description: >- Number of reviews to fetch (default: all reviews, or within 30-second timeout) pagination_token: type: string description: >- The next page index for fetching paginated reviews, from previous API response is_text_formatted: type: boolean description: 'returns the review text with visual formatting preserved ' sync_date: type: string description: 'Fetches reviews posted on a specific date using format: YYYY-MM-DD' ProductHuntReviewsResponse: type: object properties: all_reviews: type: array description: Array of fetched reviews items: type: object properties: author_badge: type: - string - 'null' description: Badge of the review author, if available author_company_link: type: - string - 'null' description: Link to the author's company, if available author_compnay_name: type: string description: Company namet of the author author_company_profile_image_url: type: string description: URL to the author's company profile image author_name: type: string description: Name of the review author author_profile_image_url: type: string description: URL to the author's HD profile image author_profile_image_url_org: type: string description: URL to the author's profile image author_profile_url: type: string description: URL to the author's profile author_reviews_count: type: string description: Number of reviews by the author replies_count: type: string description: Number of replies to the comment helpful_vote_count: type: string description: Helpful vote count for the review query: type: string description: Original query URL review_date: type: string description: Date when the review was posted review_id: type: string description: ID of the review review_rating: type: number description: Rating given in the review is_ambassador: type: boolean description: Check if author is ambassador is_verified: type: boolean description: Check if author's profile is verified is_hidden: type: boolean description: Check if author is logged in or not author_badges: type: string description: Badge of the author if available review_reply: type: object properties: replier_name: type: string description: Name of the person who replied replier_username: type: string description: Username of the person who replied reply_url: type: string description: URL to the reply reply_date: type: string description: Date of the reply reply_id: type: string description: ID of the reply replier_id: type: string description: ID of the replier replier_profile_image_url: type: string description: URL to the replier's HD profile image replier_profile_image_url_org: type: string description: URL to the replier's profile image replier_profile_url: type: string description: URL to the replier's profile reply_badges: type: string description: Badge of the reply author if available reply_text: type: string description: Text content of the reply is_pinned: type: boolean description: Check if reply is pinned approval_status: type: boolean description: Check if the reply is approved by author replier_is_ambassador: type: boolean description: Check if replier is ambassador replier_is_verified: type: boolean description: Check if replier's profile is verified upvote_count: type: string description: Number of upvotes for the reply description: Reply to the review if available review_text: type: - string - 'null' description: Content of the review review_url: type: string description: URL to the review extra_information: type: object properties: extra_information: type: array description: Additional metadata about the product and reviews items: type: object total_review_count: type: integer description: Total number of reviews fetched total_review_count_list: type: array items: type: integer description: List of review counts message: type: string description: Status message about the review extraction Error: type: object properties: status: type: integer description: HTTP status code data: type: object description: Empty object or additional error data success: type: boolean description: Indicates operation failed example: false message: type: string description: Error message describing what went wrong ````