Results for “scraping”

Collects tweets from an X (Twitter) user profile timeline by handle, supporting tweets, replies, or media-only modes, and returns structured data with engagement metrics and pagination.

Search LinkedIn job listings with filters for work type, contract type, experience level, and date posted, then extract full job details including descriptions and salary.

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.

Discovers key contacts across industries, roles, and social platforms via the BrowserAct API, extracting structured profile data for lead generation and outreach.

Scrapes YouTube channel or video metadata via the YouTube Data API, downloads transcripts with yt-dlp, chunks them for search, and upserts results into a database.

Extract paginated customer reviews from Trustpilot for any company domain, with optional filters for star rating, language, verification status, company replies, date period, keyword search, and reviewer country.

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.

Extract customer reviews from e-commerce product pages, returning reviewer name, rating, date, title, body, verified purchase status, and helpful votes. Supports Amazon, WooCommerce, Shopify, and generic sites with pagination.

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.

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.

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.

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.

Extract Xiaohongshu (RedNote) user profile information and published notes list by user ID, returning nickname, bio, follower/following counts, engagement totals, tags, and paginated notes with engagement stats.

Extract official websites and social media profiles (LinkedIn, Facebook, X/Twitter, Instagram, YouTube, TikTok) from a company name or website URL using automated browser scripts.

Extract paginated product listings from e-commerce category pages, search results, or keyword searches with filters like price, brand, rating, and stock status. Supports Amazon, eBay, Walmart, Shopify, WooCommerce, and Google Shopping.

Discovers competitors via search API, deeply researches each with a multi-lane pattern, and compiles an HTML report with overview, per-competitor deep dives, feature/pricing matrix, and mentions feed.

Turns any website's data extraction or operation needs into reusable Agent-callable Skill packages by exploring API endpoints or DOM methods, then generating SKILL.md and Python scripts.

Extracts a YouTube channel's business email and metadata from the About page, following outbound links to personal or business sites when no email is found in the description.

Import a single webpage from any URL into canonical EDS block format — structured HTML that authors edit in DA. Scrapes the page, analyzes structure, maps to existing blocks, and generates HTML for immediate local preview.

Captures a spatial hierarchy of rendered DOM elements from any webpage via Playwright CLI, returning an LLM-friendly text tree, structured JSON tree, and a node map with CSS selectors and overlay metadata.

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.

Scrapes tweets from any X (Twitter) URL — search results, user profile, single tweet detail, or list timeline — and returns normalized per-tweet data with text, author, engagement counts, media, hashtags, mentions, and cursor for pagination.

Scrapes posts from any public Facebook Page timeline, returning structured data including post text, engagement metrics, reaction breakdowns, hashtags, external links, and media type. Supports date range filtering and cursor-based pagination.

Extracts second-hand item search results from Goofish (闲鱼), China's largest second-hand marketplace. Input a keyword and optional sort/filter parameters to receive a list of item cards with ID, title, price, image, location, and want-count.

Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions.