HasData MCP Server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| HASDATA_API_KEY | Yes | Your HasData API key for authentication |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| hasdata_airbnb_listing_getAirbnbListingsA | Get Airbnb Listings Searches Airbnb for available stays by location or map bounding box (neLat/neLng/swLat/swLng) and date range (check-in/check-out) with guest composition (adults, children, infants, pets) and nextPageToken pagination. Returns listing id/url, title, price per night and total, rating, review count, coordinates, photos, host info, room/bed/bath counts, and amenities summary. Use for travel planning agents, short-term rental market analysis, pricing/occupancy research, and lead lists for property management. |
| hasdata_airbnb_property_getAirbnbPropertyDetailsA | Get Airbnb Property Details Fetches the full Airbnb property page by listing URL. Returns title, description, location, coordinates, price breakdown, cleaning/service fees, rating and review distribution, host profile, room/bed/bath counts, photos, amenities list, house rules, cancellation policy, and availability calendar hints. Use for travel-planning agents, deep-dive rate research, photo/amenity enrichment of listings discovered via the listing-search endpoint, and LSTR compliance or market-quality audits. |
| hasdata_amazon_product_getProductDetailsA | Get Amazon Product Details Fetches a single Amazon product page by ASIN on a chosen Amazon domain (amazon.com, .co.uk, .de, .jp, etc.). Returns title, brand, current/list/deal price, currency, availability, Buy Box seller, Prime eligibility, bullet points, A+ description, rating and review count, images, category breadcrumbs, variants/sibling ASINs, and the other-sellers offers block (when otherSellers=true), plus delivery-zone-aware pricing when a shipping zip/location is set. Use for product research agents, price/stock monitoring, catalog enrichment, listing QA, Buy Box tracking, and cross-locale competitive analysis. |
| hasdata_amazon_reviews_getProductReviewsA | Get Amazon Product Reviews Paginated fetch of customer reviews for an Amazon ASIN with filters for star rating (1-5, positive, critical), reviewer type (all vs verified purchase), media-only reviews, current-variant vs all-formats, keyword search, and sort (helpful/recent). Returns per-review title, body, star rating, author name and profile, review date, country, verified-purchase flag, helpful-vote count, variant/format attributes, and attached media URLs, plus aggregate rating histogram. Use for voice-of-customer analysis, sentiment and theme extraction, feature-request mining, competitor review benchmarking, and feeding review-summarization or Q&A agents. |
| hasdata_amazon_search_getSearchResultsA | Get Amazon Search Results Runs a keyword search on a chosen Amazon domain with pagination, delivery zip/location scoping, and sort order (featured, price low-to-high, price high-to-low, avg-customer-review, newest). Returns the organic results list with ASIN, title, thumbnail, product URL, price and list price, currency, star rating, review count, Prime/sponsored flags, and position, plus related search suggestions and filter facets. Use for SERP monitoring, keyword/share-of-shelf tracking, competitor discovery, ASIN harvesting to feed downstream product/reviews endpoints, and building product-research or price-comparison agents. |
| hasdata_amazon_seller_getSellerDetailsA | Get Amazon Seller Details Fetches the public storefront profile for an Amazon seller by sellerId on the chosen domain/language. Returns business name, seller logo, About-this-seller text, overall feedback rating and lifetime/12-month/90-day/30-day rating breakdown, feedback count, business address and contact details, customer service info, and any listed policies. Use for seller due-diligence and vetting, counterfeit/brand-protection workflows, MAP-violation investigations, building seller leaderboards, and enriching marketplace seller directories. |
| hasdata_amazon_seller_products_getSellerProductsA | Get Amazon Seller Products Paginated listing of the storefront catalog offered by a given Amazon sellerId on the chosen domain. Returns each product row with ASIN, title, image, product URL, price and list price, currency, star rating, review count, and Prime flag. Use to map a competitor's or 3P seller's full assortment, detect new SKU launches, build brand-protection watchlists, drive price-intelligence pipelines, and seed per-ASIN deep-dives against the product and reviews endpoints. |
| hasdata_bing_serp_getSearchResultsA | Get Bing Search Results Fetches Bing SERPs for a query with geo targeting (location/lat/lon), market (mkt), country (cc), safesearch (off/moderate/strict), interface language (setLang), time/custom filters, device type, and pagination (first offset). Returns organic results (title, url, snippet, displayed url, position), related searches, answer boxes/knowledge panels, and pagination metadata. Use for SEO rank tracking, SERP feature monitoring, Bing-specific visibility audits, and training/eval data for search agents. |
| hasdata_booking_place_getBookingPlaceDetailsA | Get Booking Hotel Details Fetches a single Booking.com property by its full URL for the given stay dates ( |
| hasdata_booking_search_getBookingSearchResultsA | Get Booking Search Results Searches Booking.com for accommodations by destination keyword and stay dates ( |
| hasdata_duckduckgo_serp_getSearchResultsA | Get DuckDuckGo Search Results Fetches DuckDuckGo SERPs for a query with region targeting (kl, or cc+setLang), safesearch (off/moderate/strict), device type, and page-based pagination. Returns organic results (title, url, snippet, displayed url, position, date, sitelinks, video metadata), ads, and the Search Assist AI answer. Use for SEO rank tracking, SERP feature monitoring, DuckDuckGo-specific visibility audits, and training/eval data for search agents. |
| hasdata_facebook_profile_getFacebookProfileA | Get Facebook Profile Fetches a public Facebook page or profile by handle (username, @username or numeric profile id) and returns page id, name, username, category, bio, exact likes and talking-about counts, followers and following, website, phone, page owner, profile and cover photo URLs, plus the posts on the page with their text, media, reaction breakdown, comment and share counts. Walks the feed three posts per request via pagination.nextPageToken. Use to enrich company or creator records, verify a brand's reach and contact details before outreach, monitor competitor pages, or build datasets of page metadata. |
| hasdata_glassdoor_job_getJobDetailsA | Get GlassDoor Job Details Fetches a Glassdoor job posting by its vacancy URL. Returns job title, company name and rating, location, salary estimate, employment type, posted date, full job description, qualifications/benefits, and apply link. Use for ATS ingestion, job aggregators, comp benchmarking, enrichment of company profiles, and feeding descriptions into LLM matching or resume-tailoring pipelines. |
| hasdata_glassdoor_listing_getJobListingsA | Get GlassDoor Job Listings Searches Glassdoor job listings by keyword and location with sort (recent/relevant), domain targeting, and nextPageToken pagination. Returns an array of jobs with title, company, location, salary estimate, posted date, job URL, and jobId, plus the next page token. Use to build job feeds, monitor hiring trends for roles/companies/regions, power candidate sourcing tools, and collect URLs for downstream full-detail scraping via the Glassdoor Job endpoint. |
| hasdata_google_images_images_getImageSearchResultsA | Get Image Search Results Scrapes Google Images for a query with advanced filters (size, color, image type, safesearch, domain/country/language, device type) plus page-based pagination (ijn). Returns each image with title, source page URL, direct image URL, thumbnail, dimensions, source domain, and position. Use for visual-asset discovery, reverse-image workflows, dataset collection for ML/CV training, brand/logo monitoring, stock-image sourcing, and grounding multimodal LLMs with fresh image context. |
| hasdata_google_maps_contributor_reviews_getMapReviewsA | Get Map Contributor Reviews Lists all Google Maps reviews authored by a specific Local Guide / contributor by contributorId, with language/country targeting and nextPageToken pagination. Returns per-review rating, text, date, place name, place address, placeId, photos, and owner responses. Use for reviewer reputation checks, detecting fake/bot review patterns, local-guide activity analysis, and building review-author profiles for trust scoring. |
| hasdata_google_maps_photos_getMapPhotosA | Get Place Photos Fetches the photo gallery of a Google Maps place by dataId or placeId, paginated with nextPageToken and filterable by categoryId (all, latest, menu, by owner, videos, street view). Returns each photo with image URL, thumbnail, upload date, uploader, and photoId. Use for restaurant-menu extraction, venue/ambience visual audits, building rich place detail pages, and sourcing up-to-date imagery for POI listings. |
| hasdata_google_maps_place_getPlaceDetailsA | Get Place Details Fetches full Google Maps place data by placeId with optional domain/language localization. Returns name, address, coordinates, phone, website, categories, hours, rating, review count, price level, photos, popular times, attributes/amenities, plus_code, and map URL. Use for local SEO audits, POI enrichment, lead generation, competitor mapping, and building location-aware agents. |
| hasdata_google_maps_posts_getMapPostsA | Get Map Posts Paginated fetch of Google Maps Posts (timeline-style updates such as offers, events, announcements, and notices) for a place by dataId or placeId, with language targeting and nextPageToken pagination. Returns per-post title, description, image, posted_at, link, and source/business name. Use for small-business intelligence, local-marketing monitoring, competitor activity tracking, and surfacing current promotions and events from local merchants. |
| hasdata_google_maps_reviews_getMapReviewsA | Get Map Reviews Paginated fetch of Google Maps reviews for a place by dataId or placeId, with sort (mostRelevant, newestFirst, ratingHigh, ratingLow), topicId filter, and language. Returns per-review author name and profile link, star rating, text, published/relative date, likes count, owner response, attached photos, and local-guide flag. Use for reputation management, sentiment and topic mining, competitor review benchmarking, and feeding review data into summarization or trust-score LLMs. |
| hasdata_google_maps_search_performMapSearchA | Get Google Maps Search Results Runs a Google Maps search by keyword plus optional GPS coordinates (@lat,lng,zoomz via |
| hasdata_google_scholar_cite_getScholarCitationFormatsA | Get Scholar Citation Formats Looks up citation formats and export links for a single Google Scholar organic search result, identified by its |
| hasdata_google_scholar_scholar_getScholarSearchResultsA | Get Scholar Search Results Scrapes Google Scholar for a query with author:/source: search helpers, year range (asYlo/asYhi), cited-by and all-versions lookups (cites/cluster), review-article and citation-inclusion filters, language/language-restrict, and start/num pagination. Returns each organic result with title, link, snippet, publication info (authors with profile links), cited-by count and link, related-articles link, and all-versions count and link. Use for academic research, literature review automation, citation tracking, and grounding research agents with scholarly sources. |
| hasdata_google_serp_ai_mode_getAiModeResponseA | Get AI Mode SERP Results Captures Gemini-powered AI Mode answers from Google Search. Returns the conversational response text, cited source links, subtopic breakdowns, follow-up suggestions, and a subsequentRequestToken for multi-turn continuation. Use for next-gen search interfaces, AI-answer monitoring, citation tracking, content research agents, building question-answering pipelines grounded in live Google results, and person/company data enrichment — e.g. asking |
| hasdata_google_serp_ai_overview_getAiOverviewResponseA | Get AI Overview Results Fetches the lazy-loaded Google AI Overview block via a pageToken returned by the Google SERP API (token valid for 4 minutes). Returns the AI-generated answer text, referenced source URLs, and expanded subtopic sections. Use as a follow-up call to Google SERP for tracking AI citations in SEO, fact-checking answers against sources, and LLM retrieval pipelines grounded in live Google results. |
| hasdata_google_serp_events_getEventInformationA | Get Google Events Results Scrapes the Google Events vertical for a query plus location (or uule) with date filters (today, tomorrow, this/next week, weekend, this/next month), virtual-event toggle, domain/country/language targeting, and pagination. Returns event title, start date/time, venue name and address, ticket/source links, description, and thumbnail. Use for event-discovery chatbots, local aggregators, calendar sync, competitive monitoring of event listings, and pulling upcoming shows/conferences for a region. |
| hasdata_google_serp_immersive_product_getImmersive_e29f691177A | Get Immersive Product Information Expands the Google Shopping Immersive Product pop-up given an immersiveProductPageToken from the Google Shopping API, with optional moreStores (up to ~13 merchants instead of 3–5) and nextPageToken for paginating stores. Returns multi-store offers (merchant, price, shipping, condition, URL), product specs, images, ratings, and the nextPageToken. Use for price-comparison bots, merchant discovery, dropshipping research, and aggregating full offer lists per product. |
| hasdata_google_serp_news_getGoogleNewsA | Get Google News Results Retrieves Google News results by free-text query, topicToken (World, Business, Technology, etc.), sectionToken, publicationToken (e.g. CNN, BBC), or storyToken (full-coverage cluster with sort by relevance/date). Returns article title, snippet, source publisher, published date, thumbnail, and URL, plus tokens for navigating topics, sub-sections, and story clusters. Use for news monitoring, brand/PR tracking, topical aggregators, publisher-specific feeds, and drilling into full story coverage. |
| hasdata_google_serp_product_getProductInformationA | Get Product Information Pulls detailed product data from Google Shopping by productId with searchType (offers, specs, reviews) and rich filters (free shipping, used-condition, sort by price/total price/deals/seller rating, reviews count). Returns product title, images, price, ratings, specs, merchant offers (seller, shipping, condition, total price), and review text depending on searchType. Use for price intelligence, catalog enrichment, review mining, competitor spec comparison, and building shopping assistants that surface the cheapest or highest-rated offer. |
| hasdata_google_serp_serp_getSearchResultsA | Get Google Search Results Full-featured Google Search scraper with location/uule, country (gl), language (hl, lr), domain, device type, safesearch, time/date filters (qdr, cdr), knowledge-graph IDs, and tbm vertical selection (images, videos, news, shopping, local), plus offset/num pagination. Returns organic results (title, link, snippet, position), ads, knowledge graph, related searches, People Also Ask, local pack, featured snippets, AI Overview pageToken, and rich SERP features. Use for SEO rank tracking, keyword research, SERP-feature monitoring, competitor analysis, grounding LLMs with fresh location-aware search data, and especially for person/company data enrichment — e.g. finding a person's LinkedIn/Instagram/Twitter profile ( |
| hasdata_google_serp_serp_light_getSearchResultsA | Get Google Light Search Results Google Search scraper served from the lightweight no-JS layout, cheaper and faster than the full SERP API. Returns organic results (title, link, displayed link, snippet, sitelinks, extensions, date, rating and review count), AI Overview with its text blocks and source references, answer box (featured snippet, calculator, unit and currency conversion, local time), knowledge graph, related questions, related searches, inline images, local pack, search filters, pagination, spelling correction and the location Google actually applied. Shopping, top stories, news, videos and jobs blocks are not served in this layout. Supports location/uule, country (gl), language (hl/lr), domain, safesearch, and time/date filters (qdr, cdr) with offset/num pagination. Use for high-volume keyword monitoring, bulk rank tracking, backlink discovery, and AI Overview presence tracking. |
| hasdata_google_serp_shopping_getSearchResultsA | Get Shopping Search Results Scrapes Google Shopping listings for a query with location/uule, country/language/domain, time/date filters, device type, shoprs filter-helper IDs, and offset pagination. Returns product title, price, merchant/source, rating, reviews count, thumbnail, product link, productId, immersiveProductPageToken, and filter chips with hasdata_link for refining by brand/price/condition/promotions. Use for e-commerce price tracking, catalog building, promotion discovery, and feeding productIds into the Product API or tokens into the Immersive Product API for deeper data. |
| hasdata_google_serp_short_videos_getShortVideosSearchResultsA | Get Short Videos Search Results Scrapes the Google Short Videos carousel (TikTok, YouTube Shorts, Instagram Reels, etc.) for a query with location/uule, country (gl/cr), language (hl/lr), device type, and page-based pagination. Returns video title, thumbnail, duration, source platform, channel/creator, publish date, and direct video URL. Use for short-form content discovery, viral-trend monitoring, influencer research, cross-platform video aggregation, and sourcing short clips to summarize or embed in LLM responses. |
| hasdata_google_travel_flights_getGoogleFlightsA | Get Google Flights Results Searches Google Flights for one-way, round-trip, or multi-city itineraries with passenger mix (adults, children, infants in-seat/on-lap), travel class, bags, max price, sort order (price, duration, emissions, departure/arrival time), stops, include/exclude airlines and connections, time windows, layover duration, and deep-search mode. Returns per-itinerary price, currency, total duration, stops, flight legs with airline, flight number, aircraft, departure/arrival airports and times, CO2 emissions, plus booking and departure tokens for round-trip returns or booking options. Use for travel-planning agents, fare monitoring, corporate travel dashboards, emission-aware trip optimization, and comparing routes and airlines across markets. |
| hasdata_google_travel_hotels_getGoogleHotelsA | Get Google Hotels Results Searches Google Hotels for hotels and vacation rentals with check-in/check-out dates, guest mix (adults, children with ages), localization (domain, country, language, currency), and advanced filters: price range, property types, amenities, minimum rating, brands, hotel class, free cancellation, special offers, eco-certified, vacation rentals only, bedrooms, bathrooms, and sort order (lowest price, highest rating, most reviewed). Returns per-property name, description, link, GPS coordinates, check-in/out times, rate per night and total rate, price comparisons across sources, hotel class, overall rating, reviews, location rating, images, amenities, nearby places, deals, eco-certification, and pagination tokens. Use for travel research agents, hotel rate monitoring, OTA dashboards, and competitive analysis of accommodations across markets. |
| hasdata_google_trends_search_getTrendsDataA | Get Google Trends Data Pulls Google Trends data for one or more queries with geo targeting, region granularity (country/subregion/metro/city), date range, category, time zone, Google property (web, images, news, shopping, YouTube), and dataType (timeseries, geoMap, relatedTopics, relatedQueries). Returns interest-over-time series, geo-level breakdowns, and rising/top related topics/queries with relative scores. Use for keyword/content strategy, demand forecasting, seasonality analysis, topic discovery, campaign timing, and adding live-trend signals to marketing or research agents. |
| hasdata_indeed_job_getJobDetailsA | Get Indeed Job Details Fetches a single Indeed job posting by its viewjob URL. Returns job title, company, location, salary/compensation, employment type, posted date, full description, requirements/benefits, and apply URL. Use for ATS/CRM enrichment, compensation benchmarking, resume-to-JD matching with LLMs, and structured archival of postings discovered via the Indeed Listing endpoint. |
| hasdata_indeed_listing_getJobListingsA | Get Indeed Job Listings Searches Indeed job listings by keyword and location with sort (relevance/date), country domain targeting, and offset-based pagination (start). Returns an array of jobs with title, company, location, salary, posted date, job URL, and jobKey for the requested page. Use for job-market dashboards, role/geo hiring-trend analysis, sourcing pipelines, and generating URL lists to feed into the Indeed Job endpoint. |
| hasdata_instagram_posts_getInstagramPostsA | Get Instagram Posts Fetches the latest posts of a public Instagram account by username (handle) and returns each post with caption, hashtags, mentions, likes/comments/plays counts, image and video URLs, dimensions, and timestamp, plus basic account info (full name, profile picture URL, verified/private flags). Supports token-based pagination via nextPageToken to walk older posts. Use to monitor competitor content, track engagement of creator posts, or build datasets of account content for vetting and analytics. |
| hasdata_instagram_profile_getInstagramProfileA | Get Instagram Profile Fetches a public Instagram profile by username (handle) and returns full name, biography, external link, profile picture URL, followers count, following count, posts count, verified/private flags, and category. Use to enrich CRM/lead records, verify influencer reach before outreach, monitor competitor accounts, or build datasets of creator metadata for vetting and analytics. |
| hasdata_redfin_listing_getRealEstateListingsA | Get Redfin Real Estate Listings Searches Redfin for-sale, for-rent, or sold listings with pagination. The location accepts a zipcode, city, neighborhood, school, school district, apartment-building name, or a full street address. Returns each listing with address, Redfin URL, list price, beds/baths, square footage, lot size, year built, days on market, status, coordinates, photos, MLS number, and HOA; an address or building returns a single property card instead. Use for real-estate market research, lead generation for agents, price/DOM trend analysis, and feeding URLs into the Redfin Property endpoint for deep-dive details. |
| hasdata_redfin_property_getPropertyDetailsA | Get Redfin Property Details Fetches the full Redfin property page by URL. Returns address, list/sold price, price history, Redfin Estimate, beds/baths, square footage, lot size, year built, property type, HOA, days on market, school ratings, tax history, listing agent, full description, photos, walk/transit/bike scores, and nearby comparables. Use for CMA reports, investor due-diligence, valuation models, listing enrichment, and powering buyer-assistant agents with verified property facts. |
| hasdata_shopify_collections_getCollectionsA | Get Shopify Store Collections Lists collections from any public Shopify storefront URL with limit (up to 250) and page pagination. Returns each collection's id, title, handle, body_html description, image, and timestamps. Use the returned handles as input to the Shopify Products endpoint to enumerate category-specific catalogs, or to map a competitor's merchandising taxonomy and track collection changes over time. |
| hasdata_shopify_products_getProductsA | Get Shopify Store Products Pulls products from any public Shopify storefront URL, optionally filtered by a collection handle, with limit (up to 250) and page pagination. Returns product id, title, handle, vendor, product_type, tags, body_html, images, variants with prices/SKUs/inventory status, and timestamps. Use for competitive price monitoring, catalog mirroring, availability tracking, building product datasets for comparison shopping, or feeding structured SKU data into downstream analytics and dropshipping pipelines. |
| hasdata_tiktok_comments_getTikTokCommentsA | Get TikTok Comments Fetches the comments on a public TikTok video by its numeric video id, or the replies to a specific comment when commentId is given. Each comment returns text, like count, timestamp, reply count, and author (username, nickname, avatar, plus hasdataLink to the profile endpoint and hasdataPostsLink to the posts endpoint). Supports token-based pagination via nextPageToken. Use for sentiment analysis, engagement research, or building comment datasets from a video discovered via the posts or search APIs. |
| hasdata_tiktok_posts_getTikTokPostsA | Get TikTok Posts Fetches a page of videos for a public TikTok account by username (handle) and returns each video with description, hashtags, mentions, like/comment/share/play/collect counts, cover and playable video URLs, music, duration, and timestamp. Returns a page of ~35 videos plus a |
| hasdata_tiktok_profile_getTikTokProfileA | Get TikTok Profile Fetches a public TikTok profile by username (handle) and returns nickname, biography, bio link, avatar URLs, verified/private flags, account creation time, and followers, follows, likes, videos, and friends counts. Use to enrich CRM/lead records, verify influencer reach before outreach, monitor competitor accounts, or build datasets of creator metadata for vetting and analytics. |
| hasdata_tiktok_search_getTikTokSearchA | Search TikTok Searches TikTok by keyword and returns either videos (with description, hashtags, mentions, like/comment/share/play counts, cover and playable video URLs, music, and author) or users (nickname, bio, avatar, verified flag, follower count). Each author and each user carries a hasdataLink to their profile endpoint and a hasdataPostsLink to their posts endpoint. Supports token-based pagination via nextPageToken. Use for content discovery, trend research, influencer discovery, or building datasets from a keyword. |
| hasdata_walmart_product_getWalmartProductA | Get Walmart Product Details Scrapes one Walmart product page on a chosen storefront by item id or URL. Returns title, brand, model, UPC, condition, availability, price with strikethrough before-price and unit price, the seller holding the buy box with its rating and return policy, badges, SNAP EBT eligibility, Walmart+ savings, star rating with the per-star review breakdown and AI review summaries, images, category path, highlights, specifications, AI-generated key item features, variant axes with every option and the itemId each combination resolves to, fulfillment details, and the other-sellers block: how many competitors the page advertises and the cheapest competing price always, plus - when otherOffers is enabled - the offer list with each seller name, storefront URL, price, condition, shipping cost, delivery date and return policy. Use for price and buy-box monitoring, seller and marketplace competitor tracking, assortment enrichment of item ids harvested from search, and variant mapping. |
| hasdata_walmart_reviews_getWalmartReviewsA | Get Walmart Product Reviews Scrapes the customer reviews of one Walmart product on a chosen storefront by item id or URL, ten reviews a page. Returns each review with its rating, title, full text with paragraphs preserved, submission date, author, verified-purchase flag, helpful and not-helpful vote counts, badges, marketplace seller, photos and videos, and the review aspects it was tagged with. Alongside the reviews it returns the item rating, how many ratings versus how many written reviews exist, the per-star breakdown, the AI review summary, per-aspect scores such as Quality or Value for money, and a filters block listing exactly which star ratings, frequent mentions and conditions this item can be filtered by, with a count for each - the values in that block are the ones to pass back as request parameters. Sort by most relevant, most recent, most helpful, highest rated, lowest rated or oldest, and filter by star rating, frequent mention, condition or verified purchases only. Use for review mining and sentiment analysis, tracking what buyers praise or complain about per product, monitoring new reviews over time, and pulling only verified-purchase feedback. |
| hasdata_walmart_search_getSearchResultsA | Get Walmart Search Results Runs a keyword or category search on a chosen Walmart storefront with pagination, price range and fulfillment filters, facet narrowing, and sort order (best match, price low-to-high, price high-to-low, bestseller, highly rated, new arrivals). Returns the product list with item id, title, product URL, brand, price and strikethrough before-price, star rating, review count, seller, availability, sponsored flag, badges, SNAP EBT eligibility, Walmart+ savings, variants, other offers and fulfillment details (shipping, pickup, delivery messages), plus the facets block listing every filter the query supports with the exact value to send back in the facet parameter, pagination, and the store the prices belong to. Use for SERP monitoring, price and assortment tracking, share-of-shelf analysis, competitor discovery, and harvesting item ids to feed downstream product or reviews endpoints. |
| hasdata_web_scraping_web_scraping_scrapeWebPageA | Scrape Web Page Universal web scraper that fetches any public URL through managed proxies (datacenter or residential, geo-targeted) with optional JS rendering, custom headers, wait conditions, jsScenario actions (click, scroll, fill, waitFor), screenshots, resource/ad/URL blocking, and extractRules/aiExtractRules for LLM-driven structured extraction. Returns HTML, text, markdown, and/or JSON along with status code, extracted emails and links, CSS-selector extractions, and AI-structured fields per schema. Use as a fallback/universal fetcher for sites without a dedicated API, for scraping JS-heavy SPAs, bypassing bot protections, capturing screenshots, or producing clean markdown/structured JSON to feed downstream parsers, RAG pipelines, or data warehouses. |
| hasdata_yellowpages_place_getPlaceDetailsA | Get Yellow Pages Place Details Scrapes a single YellowPages business listing URL and returns business name, full address, phone, website, categories, years in business, hours of operation, ratings, review counts, photos, and service descriptions. Use to hydrate a lead with verified NAP data, build a B2B contact database from YellowPages URLs collected via the Search endpoint, or validate business legitimacy and hours before outreach. |
| hasdata_yellowpages_search_getSearchResultsA | Get YellowPages Search Results Runs a YellowPages business search by keyword plus location with sort (default, distance, averageRating, name), country domain targeting, and page-based pagination. Returns each business with name, listing URL, phone, address, categories, rating, review count, and years in business. Use for B2B lead generation by niche and city, feeding the resulting URLs into the YellowPages Place endpoint for enrichment, or building geo-targeted prospect lists for sales outreach. |
| hasdata_yelp_place_getPlaceDetailsA | Get Yelp Place Details Fetches a single Yelp business by Yelp ID or alias with domain targeting. Returns name, address, phone, website, price range, categories, overall rating, review count, hours, amenities, photos, and highlighted reviews. Use to enrich leads or listings with verified Yelp metadata, monitor a competitor's rating and review count over time, or validate hours/amenities before displaying venue details to end users. |
| hasdata_yelp_reviews_getPlaceReviewsA | Get Yelp Place Reviews Fetches the review feed of a single Yelp business by Yelp ID, with sorting (relevance, date, rating, elites), filtering by star rating, language and free-text query, and cursor pagination. To page, either step |
| hasdata_yelp_search_getSearchResultsA | Get Yelp Search Results Runs a Yelp business search by keyword and location with optional map-bounded radius via the |
| hasdata_youtube_channel_getYoutubeChannelA | Get YouTube Channel Data Fetches a YouTube channel by its ID ( |
| hasdata_youtube_search_getYoutubeSearchResultsA | Get YouTube Search Results Searches YouTube for a query and returns the full results page split into |
| hasdata_youtube_transcript_getYoutubeTranscriptA | Get YouTube Video Transcript Returns the timed transcript (subtitles) of a YouTube video by its 11-character |
| hasdata_youtube_video_getYoutubeVideoA | Get YouTube Video Data Fetches a single YouTube video by its 11-character |
| hasdata_zillow_listing_getRealEstateListingsA | Get Zillow Real Estate Listings Searches Zillow for-sale, for-rent, and sold listings by keyword with rich filters (price, beds, baths, home type, year built, lot/square footage, HOA, listing status, amenities, views, pet policy, days on Zillow) and pagination. Returns each listing with address, Zillow URL/zpid, price, Zestimate, beds/baths, sqft, home type, status, days on Zillow, coordinates, thumbnail, and listing agent. Use for real-estate market dashboards, rental pricing analysis, agent lead lists, inventory tracking, and collecting URLs for the Zillow Property endpoint. |
| hasdata_zillow_property_getPropertyDetailsA | Get Zillow Property Details Fetches the full Zillow property page by URL/zpid, with optional agent email extraction. Returns address, list price, Zestimate and Rent Zestimate, price and tax history, beds/baths, living area, lot size, year built, home type, HOA, days on Zillow, listing description, features/amenities, photos, school assignments, walk/transit scores, and listing agent/broker (plus email when enabled). Use for valuation models, CMA generation, investor underwriting, rental yield analysis, and enriching buyer/seller agent assistants with authoritative property data. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
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TDQS
Scored across 63 tools
Most tools are cleanly separated by vertical plus action (e.g. Amazon search vs product vs reviews vs seller), so an agent can usually tell them apart. However there are genuine collision zones: two tools both named getMapReviews (place reviews vs contributor reviews), a full Google SERP and a 'light' variant that differ only by cost/layout, and several overlapping place-detail tools across Google Maps, Yelp, and YellowPages. These clusters create real misselection risk, but the descriptions do disambiguate in most cases.
The dominant pattern is hasdata_<vertical>_<sub>_<action>, which is mostly followed. But verbs are inconsistent (get, perform, scrape, search) — e.g. performMapSearch and scrapeWebPage break the get_ convention — and one tool carries a junk hash suffix (getImmersive_e29f691177). Readable overall, but not a clean predictable scheme.
63 tools is very heavy by any standard, well beyond the 25+ threshold that signals overload. It is partly justified because the server aggregates ~30 distinct scraping verticals with search/detail/reviews each, but the sheer breadth makes discovery and selection costly for an agent.
The surface is broadly complete for a scraping aggregator: most verticals ship a search/topic tool plus a detail tool plus a reviews or secondary-detail companion (Amazon, Walmart, Yelp, Google Maps, Airbnb, Indeed, Zillow/Redfin, YouTube). Minor gaps exist (e.g. no explicit pagination-agnostic batching or cross-vertical aggregation), but core lifecycles are covered.