Collect the business phone numbers companies publish on their own websites, cleaned into international dialling format and deduplicated to one row per company. Emails and social profiles come along in the same row at no extra cost.
Scrape any Workable job board, full posting text included. Paste a board slug, board URL or company domain and get every open role with its complete description as HTML and text, plus parsed salary, seniority, remote flag and apply URL. Pay per job; boards we cannot reach are free.
Workable jobs API. Paste a Workable board slug, board URL or company domain and get every open role on that board, read live when you run it. One normalized schema with parsed salary, seniority, remote flag and direct apply URLs. Pay per job; boards we cannot reach are free.
Builds an audience picture from comments: who the repeat commenters are, what they talk about, how sentiment splits and which questions keep coming back, across a channel or a search. Pay per comment, no run-start fee.
Hand it a channel and get that channel's words back. Every upload is expanded, transcribed and returned as one clean dataset with timings and chapters - a full back catalogue ready for search, analysis or an AI pipeline. Set how many videos per channel, and pay only for what lands.
Pull the closed captions off any YouTube video - and not just one language. Each available caption track comes back separately with its language, whether it was human-written or auto-generated, and a ready-made WebVTT version, so localisation and accessibility checks stop being manual work.
Scrapes comments and scores each one for sentiment, a toxicity triage signal, content keywords and question intent, then adds a summary row with the sentiment split and top keywords. A lexicon signal built for sorting volume, not a moderation verdict. Pay per comment, no run-start fee.
Scrape comments and export them straight to CSV, JSON, Excel or XML from the run's dataset, with a flat one-row-per-comment shape that opens cleanly in a spreadsheet. Pay per comment, no run-start fee.
Scrape YouTube comments from whole channels, playlists and search results, not just one video. Full nested reply threads, like counts flagged when YouTube rounds them, optional sentiment and keyword scoring, and delta-only re-runs for daily monitoring. Pay per comment, no run-start fee.
Point it at a rival's channel and read what their audience actually asks for: every comment across their catalogue, scored and summarised, with the questions and complaints separated out. Pay per comment, no run-start fee.
Turns review and unboxing videos about your product into structured feedback: every comment across a search or channel, filtered to complaints and questions, scored and summarised. Pay per comment, no run-start fee.
Find the exact phrases people type into YouTube before they press play. One topic returns hundreds of real search phrases for titles, tags, chapters and scripts. Measured across a full expansion run, 73% never appear in Google's suggestions. Pay per keyword.
Transcribe an entire playlist in one run. Every video in the list comes back as clean, timestamped text under its own chapters, in playlist order - a full course, podcast season or lecture series turned into one searchable document set. Failed videos cost nothing.
Turn a creator's short-form output into searchable text. Point it at a channel and it pulls the spoken words out of every Short with timings intact - hooks, scripts and trends in a spreadsheet instead of a scroll session. Long-form videos and playlists work in the same run.
Build a retrieval corpus out of video. Channels and playlists come back as chunk-ready paragraphs grouped under their own chapters, each with a timestamp and its source video, so every chunk carries citable context straight into a vector store or fine-tuning set.
Used by RAG builders, content teams and researchers turning video into searchable text. YouTube transcript scraper with chapter-grouped, chunk-ready paragraphs for LLM and search pipelines. Re-runs skip videos already delivered so a corpus stays fresh, and failed videos are never billed.
Get the full spoken text of any YouTube video, formatted like something a person would read: real paragraphs, grouped under the video's own chapters, with a timestamp on every line. Works on single videos or an entire channel, and you only pay for the transcripts you receive.
Scrape eBay Motors listings - vehicles, parts and accessories - as clean JSON. Price, condition, shipping, location, seller rating, watchers and bids per listing. Item specifics on detail rows. No login, no API key.
Used by recruiters and lead-enrichment pipelines turning LinkedIn URLs into records. LinkedIn profile scraper: name, headline, location, about, experience, education, exact follower count and recent posts. No login. About 7 in 10 profiles resolve; the rest are free rows.
Scrape LinkedIn Pulse articles by URL: title, summary, full body as text and HTML, cover, dates, reading time, exact like and comment counts, author with exact followers, newsletter. No login.
Used by recruiters, sales teams and market researchers who need LinkedIn at volume. LinkedIn scraper for jobs, company pages, public posts with their top comments, and Pulse articles in one typed dataset. Exact employee, follower and reaction counts. No login, no cookies. Failures are free.
Pull historical news archives, not just today's headlines. Google's feed caps at about 100 articles per query; this splits your query into date windows and returns thousands, reaching back years. Real publisher URL on every row, optional full article text. Pay per article, failed runs are free.
Monitor the news for any brand, competitor or topic on a schedule. Returns the real publisher URL for every mention, collapses syndicated wire copies into one story per event, and can pull the full article text. Any language or country. Pay per article, failed runs are free.
Search TikTok by keyword and get the videos it returns, each with exact play, like and comment counts, hashtags, sound and creator. No login. Charged per video delivered, never per search.