> ## 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. # Realtor.com Reviews > This endpoint fetches reviews and recommendations from Realtor.com for a given agent profile. ## OpenAPI ````yaml POST /realtor-com/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: /realtor-com/reviews: post: description: >- This endpoint fetches reviews and recommendations from Realtor.com for a given agent profile. requestBody: description: Realtor.com review scraping parameters content: application/json: schema: $ref: '#/components/schemas/RealtorComReviewsRequest' required: true responses: '200': description: Reviews fetched successfully content: application/json: schema: $ref: '#/components/schemas/RealtorComReviewsResponse' 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: RealtorComReviewsRequest: type: object required: - query properties: query: type: string description: Provide proper agent profile url or agent_slug. 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' RealtorComReviewsResponse: type: object properties: all_reviews: type: array description: Array of fetched reviews items: type: object properties: author_details: type: object description: Details about the review author properties: author_location: type: - string - 'null' description: Location of the review author author_name: type: string description: Name of the review author author_profile: type: string description: Profile type of the author (e.g., BUYER, SELLER) link: type: - string - 'null' description: Link to the review, if available query: type: string description: Original query URL rating_category: type: object description: Detailed rating categories properties: market_expertise: type: number description: Rating for market expertise negotiation_skills: type: number description: Rating for negotiation skills professionalism_communication: type: number description: Rating for professionalism and communication responsiveness: type: number description: Rating for responsiveness 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: Overall rating given in the review review_source: type: string description: Source of the review review_text: type: string description: Content of the review review_year: type: string description: Year of the transaction started_timestamp: type: string description: Timestamp when the review was started trixel_url: type: - string - 'null' description: URL to the trixel, if available all_recommendation: type: array description: Array of fetched recommendations items: type: object properties: author_details: type: object description: Details about the recommendation author properties: author_address: type: - string - 'null' description: Address of the recommendation author author_location: type: - string - 'null' description: Location of the recommendation author author_name: type: string description: Name of the recommendation author author_relation: type: string description: Relation of the author to the agent query: type: string description: Original query URL recommendation_date: type: string description: Date when the recommendation was posted recommendation_id: type: string description: ID of the recommendation recommendation_photo_url: type: - string - 'null' description: URL to the recommendation photo, if available recommendation_source: type: string description: Source of the recommendation recommendation_text: type: string description: Content of the recommendation recommendation_video_url: type: - string - 'null' description: URL to the recommendation video, if available recommendation_year: type: string description: Year of the recommendation started_timestamp: type: string description: Timestamp when the recommendation was started extra_information: type: object properties: extra_information: type: array description: Additional metadata about the product and launch 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 ````