Data Analysis

browser-act Bundle

Extracts structured business data from Google Maps, including names, categories, contact info, ratings, and addresses, using the BrowserAct API.

browser-act Bundle

Extracts structured news data from Google News via the BrowserAct API, including headlines, sources, publication times, and article links.

browser-act Bundle

Extract paginated video lists for a TikTok hashtag, including author profiles, engagement stats, music, and video metadata.

browser-act Skill

Extract a TikTok user's profile info and paginated video list with full metadata by navigating to their profile page.

browser-act Bundle

Searches for Instagram locations by name and retrieves paginated posts tagged at those locations, including captions, engagement counts, and media URLs.

browser-act Bundle

Fetches Instagram user profile metadata including bio, follower count, following count, post count, and verification status using the internal REST API via browser automation.

browser-act Bundle

Extracts structured channel-level and video detail data from a YouTube channel via the BrowserAct API, including metrics like views, likes, comments, and subscriber count.

browser-act Bundle

Extract public Trustpilot company profile data from a company domain, including TrustScore, star rating, review counts, verification flags, category, contact info, and optional reply behavior metrics.

browser-act Bundle

Collects every tweet in an X (Twitter) conversation thread given a conversation id, returning normalized per-tweet data with text, author, engagement counts, media, hashtags, mentions, and reply mapping.

browser-act Bundle

Searches X (Twitter) for tweets matching an advanced query and returns structured data including text, author profile, engagement metrics, media, hashtags, mentions, and pagination cursors.

browser-act Bundle

Extracts structured data from YouTube search results, including videos, shorts, channels, and playlists, using the BrowserAct API.

browser-act Bundle

Extracts structured product data from Amazon search results, including prices, ratings, sales estimates, and shipping info, using the BrowserAct API.

browser-act Bundle

Automatically discovers social media profiles for individuals or brands across platforms like Facebook, Twitter, Instagram, LinkedIn, and TikTok, returning profile URLs, follower counts, and bio snippets as a downloadable CSV.

browser-act Bundle

Extracts structured channel data from YouTube search results via the BrowserAct API, including subscriber counts, verification status, and channel descriptions.

browser-act Bundle

Extracts Amazon product details, buy box owner, other sellers' prices, and seller ratings for a given ASIN using the BrowserAct API.

browser-act Bundle

Extracts structured video and comment data from YouTube using the BrowserAct API, enabling audience insight, content research, and competitive monitoring without CAPTCHA or IP restrictions.

browser-act Bundle

Extracts structured business data from Google Maps search results using the BrowserAct API. Provide search keywords, language, and country filters to get clean, usable business data.

browser-act Bundle

Extracts posts from public Facebook pages or profiles, returning structured data with text, engagement metrics, reaction breakdowns, media thumbnails, and pagination support.

browser-act Bundle

Extract structured review data from Google Maps search results using the BrowserAct API, enabling local business analysis, reputation monitoring, and competitive benchmarking.

browser-act Bundle

Scrapes posts from a Facebook group given a group URL, sort order, and desired count, returning structured post metadata including post_id, permalink, author, timestamp, body text, media, reactions, comments, and shares.

browser-act Bundle

Extracts YouTube video transcripts and performs structured 8-dimension competitive analysis to uncover value propositions, audience profiles, and content gaps.

browser-act Bundle

Extract structured best-selling product data from Amazon, including titles, prices, ratings, reviews, sales volume, and promotions, using the BrowserAct API.

browser-act Bundle

Extract GitHub repository details and contributor contact information using keywords, star counts, and update dates via the BrowserAct API.

k-dense-ai Bundle

Organize, query, validate, and convert neuroscience and biomedical data using the Brain Imaging Data Structure (BIDS) standard.

k-dense-ai Bundle

Scale pandas and NumPy workflows to larger-than-memory datasets using parallel and distributed computing.

k-dense-ai Bundle

Query 20+ bioinformatics databases from the command line or Python for gene information, sequences, protein structures, enrichment analysis, and more.

k-dense-ai Bundle

Process and analyze large tabular datasets (billions of rows) that exceed available RAM using lazy, out-of-core DataFrames with fast aggregations, visualization, and machine learning integration.

k-dense-ai Bundle

Create, edit, analyze, or convert Excel spreadsheets (.xlsx, .xlsm) with formulas, formatting, financial models, and multi-sheet workbooks.

k-dense-ai Bundle

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

k-dense-ai Bundle

Read, write, and manipulate genomic datasets including SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences using a Pythonic interface to htslib.

k-dense-ai Bundle

Access AI-ready drug discovery datasets and benchmarks from Therapeutics Data Commons, covering ADME, toxicity, drug-target interactions, and molecular generation with standardized splits and evaluation metrics.

k-dense-ai Bundle

Simulate and analyze open quantum systems using QuTiP, including master equations, Lindblad dynamics, decoherence, and quantum optics.

k-dense-ai Bundle

Perform cheminformatics tasks including molecular I/O, descriptor calculation, fingerprinting, substructure search, and similarity analysis using the RDKit library.

k-dense-ai Bundle

Build discrete-event simulations of systems with processes, queues, resources, and time-based events using SimPy in Python.

k-dense-ai Bundle

Perform exact symbolic mathematics in Python — algebra, calculus, equation solving, symbolic linear algebra, and code generation via lambdify or LaTeX.

k-dense-ai Bundle

Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores, drug sensitivity data, and gene effect profiles to identify cancer-specific vulnerabilities, synthetic lethal interactions, and validate oncology drug targets.