All Services

Scrapes structured residential auction property listings from Auction.com, returning normalized listing data by location (state, city, or direct URL).

Fetches structured public profile data (bio, follower count, name, URL) for one or more Pinterest usernames or profile URLs.

Extracts public comments from Instagram posts and reels given one or more URLs, returning structured comment data including text, timestamp, likes, and position.

Scrapes structured hotel and property listing data from Booking.com search results for a given destination, dates, and occupancy.

Scrapes structured business listing data from Google Maps/Places based on search terms and location queries

Scrapes structured job listings from the French APEC (executive job board) website based on keyword, location, and pagination parameters

Scrapes structured data from Reddit including posts, comments, users, and communities via search queries or direct URLs

Scrapes structured product listings and customer reviews from Meesho based on one or more search phrases

Scrapes structured business listings from Canadian Yellow Pages, returning contact details, addresses, and optional extended profiles for businesses matching given search terms and locations.

Scrapes and returns structured public Facebook event data from search queries or direct event URLs

Scrapes Pinterest public search results, returning structured pin, video, board, and profile data for given keywords or URLs.

Resolves EAN, ASIN, UPC-A, EAN-8, EAN-13, or GTIN-14 barcodes to structured product data by searching public product pages.

Performs structured Brave Search queries (web, image, video, or news) and returns paginated, typed result sets with URLs, titles, descriptions, and metadata.

Scrapes structured company and person data from NorthData public search results, including financials, officers, events, and related companies for European jurisdictions.

Scrapes and returns structured public job postings from ADP's job board, with filtering by title, location, description, and posting date.

Fetches structured SpyFu SEO and PPC metrics (organic clicks, organic keywords, paid keywords) for up to 200 domains per call, with optional keyword samples, by country.

Scrapes structured ad data from LinkedIn's public Ad Library, returning ad content, advertiser info, and targeting metadata for given search or company URLs.

Searches Best Buy Canada (bestbuy.ca) by keyword or product URL and returns structured product data including SKU, UPC, brand, model, category, and image.

Scrapes structured data about local service professionals from Thumbtack search result pages, returning business names, ratings, reviews, and other profile details.

Checks whether one or more Discord usernames are available or taken, returning structured availability results per username.

Scrapes and returns structured follower and following lists from public Facebook pages or profiles

Returns structured SEMrush domain analytics and/or top website rankings by country and industry for one or more domains.

Searches Instagram public data for profiles, hashtags, places, or popular reels by keyword, returning ranked structured results.

Extracts the spoken-word transcript and caption segments from a public Facebook reel or video URL

Searches and returns structured data about public Facebook Pages matching given keywords and optional location filters

Scrapes and returns publicly visible comments from one or more Facebook post URLs as structured JSON data

Scrapes structured job listings from IIMJobs.com by search keyword and optional location, returning job titles, companies, URLs, and details.

Scrapes and returns structured public business-for-sale listings from Acquire.com, with filtering by price, revenue, profit, category, and location.

Scrapes and returns structured listing data from Kijiji search results or individual listing pages

Fetches structured public LinkedIn company profile data (name, logo, tagline, website, founding date, URL) by company name or profile URL

Scrapes structured listing data (title, price, URL, type) from Sahibinden.com — Turkey's largest classifieds platform — given listing or category URLs.

Scrapes Google Hotels for structured hotel listings across one or more locations for given check-in and check-out dates, returning hotel names, GPS coordinates, property types, and URLs.

Scrapes structured pin, board, and profile data from public Pinterest pages via search queries, board URLs, profile URLs, or individual pin URLs

Scrapes structured data from public LinkedIn /in/ or /pub/ profile URLs, returning name, email, headline, company, and domain per profile.

Scrapes structured product data from DHgate by keyword search or listing URL, returning product names, IDs, images, and detail URLs.

Searches for businesses in Swiss cities by category or keyword, returning structured contact data (emails, phones, URLs) with optional lead scoring.

Extracts structured company and investor profile data from Dealroom by accepting profile URLs, slugs, or website domains

Scrapes and returns structured post data from public Tumblr blogs, tags, and search timelines with filtering by type, date, and note count.

Scrapes and returns structured review data from public Facebook business pages

Scrapes and returns structured listing data from Flippa (website, app, and domain marketplace) based on search/browse URLs or direct listing URLs

Scrapes structured video metadata from YouTube URLs, channels, playlists, Shorts, or search queries, returning titles, IDs, channel info, thumbnails, and optional detailed stats.

Scrapes structured listing data from leboncoin.fr search results or individual ad pages, returning paginated item details including title, category, description, and status.

Retrieves structured data from SimilarWeb's public top 50 website rankings, filterable by country and category

Scrapes and returns structured photo data (URLs, dimensions, IDs) from public Facebook pages

Searches Home Depot's product catalog by keyword or URL and returns structured product data including price, brand, rating, and item ID.

Scrapes and returns recent public posts from one or more Twitter/X profile URLs as structured JSON data

Scrapes the DoorDash public directory to return structured store listing data (name, city, state, store ID, URL) matching a given address or search URLs, without live delivery availability.

Scrapes and returns structured review data (text, star rating, review ID, publish date) from Google Maps place pages via URL or place ID.

Returns structured startup listing data from European directories, filterable by keyword, country, and date added.

Fetches structured Crunchbase news articles filtered by search query, company URLs, category, and date range

Searches and extracts structured freelance job listings from PeoplePerHour by keyword, returning job titles, budgets, descriptions, and project IDs.

Computes adjacent row-to-row changes in occupied or available parking spaces across zones and dates for up to 200 records.

Computes category-level frequency counts across parking zones from up to 200 supplied occupancy records, returning a descriptive analytics report with no forecasting or enrichment.

Computes a daily sum time series for parking utilization metrics (occupied or available spaces) across zones, from up to 200 supplied records.

Pivots parking utilization records (occupied/available spaces) by date and zone category, returning a summary table up to 200 rows.

Identifies and removes exact duplicate rows from parking utilization datasets containing zone, date, occupied spaces, and available spaces fields.

Fills missing numeric values (occupied_spaces or available_spaces) in parking utilization records using zero, mean, or median imputation across up to 200 rows.

Filters parking utilization records (occupied and available spaces) to only those rows where a chosen numeric field falls within a specified minimum–maximum range.

Audits up to 200 parking utilization records for data quality issues, returning a bounded descriptive analytics report with no enrichment or forecasting.

Computes a secondary-measure weighted mean for parking utilization data across zones and dates, using up to 200 typed records.

Computes a bounded two-measure correlation report between occupied_spaces and available_spaces across parking zone records, using local descriptive analytics on up to 200 supplied rows.

Search across previously parsed document structures stored in tenant memory

Computes adjacent row-over-row changes and a base-100 indexed series for partnership pipeline metrics (qualified_partners, active_partners) from user-supplied tabular data.

Runs two analytical reports on partnership pipeline data: adjacent row-over-row change detection and a date-by-category pivot table, for up to 200 supplied rows.

Computes adjacent-row changes and fills missing values (zero/mean/median) for partnership pipeline metrics (qualified_partners, active_partners) across up to 200 supplied rows.

Analyzes partnership pipeline records to detect adjacent row changes and flag IQR-based outliers for qualified_partners or active_partners metrics.

Generates two analytical reports (Base-100 indexed series and a date-by-category pivot) from supplied partnership pipeline data covering qualified and active partners.

Generates two local analytical reports (Base-100 indexed series and equal-width histogram) from user-supplied partnership pipeline data (qualified_partners, active_partners) for up to 200 rows.

Computes a Base-100 indexed time series and fills missing values for partnership pipeline data (qualified_partners, active_partners) across up to 200 rows.

Computes Base-100 indexed time series and IQR-based outlier flags for qualified_partners and active_partners columns in supplied partnership pipeline data.

Computes a Base-100 index series and a secondary-measure weighted mean for partnership pipeline data (qualified_partners, active_partners) supplied by the caller.

Computes a Base-100 index series and a two-measure correlation report for partnership pipeline data (qualified_partners, active_partners) across up to 200 supplied rows.

Computes category frequency counts and a base-100 indexed series for supplied partnership pipeline records (qualified_partners and active_partners) in a single call, delivering two analytical reports for up to 200 rows.

Analyzes partnership pipeline records to produce category-frequency counts and daily sum time series for qualified_partners or active_partners fields across up to 200 rows.

Analyzes partnership pipeline data (qualified_partners, active_partners) to produce two reports: category frequency counts and a date-by-category pivot table, for up to 200 rows.

Analyzes partnership pipeline records to produce category frequency counts and an equal-width histogram for either qualified_partners or active_partners fields.

Analyzes partnership pipeline records to compute category frequencies and flag IQR-based outliers for qualified_partners and active_partners fields across up to 200 rows.

Analyzes partnership pipeline data (qualified_partners, active_partners) by computing category frequency distributions and performing a keyed row-level comparison between two supplied datasets, returning two independent analytical reports.

Analyzes partnership pipeline records to produce category frequency counts and numeric row ordering reports for qualified_partners and active_partners fields.

Computes category-frequency distribution and trailing moving-average series for partnership pipeline metrics (qualified_partners, active_partners) over up to 200 supplied rows.

Computes daily sum series and base-100 indexed series for partnership pipeline data (qualified_partners, active_partners) from up to 200 supplied rows.

Computes a daily sum time series and an equal-width histogram for partnership pipeline metrics (qualified_partners or active_partners) from up to 200 supplied rows.

Computes a daily sum time series and fills missing values (zero, mean, or median) for partnership pipeline metrics (qualified_partners, active_partners) across up to 200 supplied rows.

Computes daily sum time series and IQR-based outlier flags for qualified_partners and active_partners fields in supplied partnership pipeline records.

Computes a daily sum time series and performs a keyed dataset comparison for partnership pipeline metrics (qualified_partners, active_partners) across up to 200 rows in two independent analytical reports.

Computes daily sum aggregations and trailing moving-average series for partnership pipeline metrics (qualified_partners, active_partners) from user-supplied records, up to 200 rows.

Runs two analytical reports on partnership pipeline data: a date-by-category pivot table and a keyed dataset comparison, for up to 200 supplied rows.

Analyzes supplied partnership pipeline records to produce a duplicate key report and a base-100 indexed time series for qualified_partners or active_partners fields.

Analyzes supplied partnership pipeline records to produce a duplicate key report and a date-by-category pivot table for qualified_partners or active_partners metrics.

Generates two analytical reports — a duplicate key report and an equal-width histogram — on supplied partnership pipeline data (qualified_partners, active_partners) for up to 200 rows.

Analyzes up to 200 partnership pipeline records to produce a duplicate key report and fill missing values in qualified_partners or active_partners using zero, mean, or median imputation.

Analyzes up to 200 partnership pipeline rows to produce a duplicate key report and grouped numeric summary for qualified_partners or active_partners fields.

Analyzes supplied partnership pipeline records to produce a duplicate key report and numeric distribution summary for qualified_partners or active_partners fields across up to 200 rows.

Analyzes supplied partnership pipeline records to identify duplicate row keys and filter rows by a numeric interval for qualified_partners or active_partners fields.

Analyzes up to 200 partnership pipeline records to produce a duplicate key report and numeric row ordering for qualified_partners or active_partners fields.

Generates two local analytical reports (equal-width histogram and date-by-category pivot) over supplied partnership pipeline data with qualified_partners and active_partners fields.

Generates an equal-width histogram and IQR-based outlier flags for partnership pipeline data (qualified_partners, active_partners) across up to 200 supplied rows.

Generates an equal-width histogram and a keyed dataset comparison report for partnership pipeline records (qualified_partners, active_partners) across up to 200 rows.

Runs two local analytical reports (equal-width histogram and secondary-measure weighted mean) on up to 200 supplied partnership pipeline rows containing qualified_partners and active_partners fields.

Computes an equal-width histogram and a two-measure Pearson/rank correlation for up to 200 partnership pipeline rows (qualified_partners, active_partners) using local analytics.