The Netaji

Find companies whose open roles show they are investing in what you sell, and who to contact at each. A company hiring three Kubernetes engineers has a budget and a problem; the row carries how many roles, how long the oldest has sat, and the leader's work email.

Point it at any Ozon category link and export the whole listing, not just the first page. Each product carries its price, discount, star rating and review count as numbers. Enrichment adds the seller, the non-card price, the spec table and every image, per product.

List Pins from a public Pinterest board and save titles, descriptions, board context, source domains, outbound links, and original creators.

List public Pinterest boards for a username with each board's ID, privacy, Pin total, description, collaboration details, and cover data.

Retrieve a public Pinterest profile by username with its display name, bio, Pin and board totals, verification data, and cover details.

Collects Pinterest Pins, search results, profiles, boards, and board Pins through a single Actor. The mode is selected per run; each mode accepts its own identifier and returns that dataset's fields, with optional enrichment attached to every row.

Search public Pinterest Pins or video Pins by keyword, then save titles, descriptions, boards, source domains, and outbound links.

Reads a Reddit account's public profile by username and saves a single row: its id, display name, description, total karma with the post and comment breakdown, contribution count, cake day, and icon. Figures Reddit renders without a breakdown are saved as null rather than guessed.

Reads a Reddit post's comments from its link or its id and saves one flat row per comment, each carrying the depth and the parent Reddit states for it, so the thread rebuilds exactly. Every row also reports how much of the tree the run reached and how many branches were left unread.

Nine Reddit reads in one Actor: a subreddit feed, the popular feed, keyword search, an account's activity and comment history, a post's comment tree, a single post, a community record, and an account profile. The mode is chosen at run time and each one fills in its own section.

Reads a subreddit's public record by name and saves a single row: its id, display name, description, creation date, weekly activity figures, and the full numbered rules list with each rule's expanded text. Reddit publishes no subscriber total without an account, so none is reported.

Reads a Reddit account's public activity feed, which carries posts and comments interleaved, and saves one row per record stating which kind it is. The feed can be narrowed to posts only or comments only. Long histories page automatically and a run resumes where an earlier one stopped.

Read any Redfin home in full from its page address. Twelve sections come back per home: the listing record, the long-form property history and public records, the agent and brokerage panel, assigned schools, flood, fire, heat and wind risk scores, the county parcel record and comparable sales.

Every home for sale in one US city, ZIP code, neighborhood, county, state or school district, exported as rows with the price, beds, baths, area, MLS number and status, full address and map coordinates. The listing agent's own description is on every row, not behind a second lookup.

Export the rivals Semrush names for any website, each carrying the website's own metric set — visits, authority score, bounce rate, pages per visit, time on site and all three ranks — so they line up in one table. The website itself is saved as a row beside them.

Read any website's whole free Semrush profile as one row: global, country and industry rank, authority score, monthly visits, bounce rate, time on site, top countries, organic and paid search, top keywords with volume and CPC, backlinks, referrers, and referral traffic from each AI assistant.

Export every product and variant from any Shopify-powered store by domain, read straight from the store's own JSON API rather than scraped HTML.

Both Skyscanner fare datasets behind one mode picker: prices for a city pair, or the cheapest flights into a place from anywhere. Each row is a whole page — quoted deals with carriers and dates, twelve months of prices, nearby airports, airlines and route Q&A.

Export what public Telegram channels post: the message text, when it went up, the view count, photos and video, and what each post forwarded or replied to. Many channels in one run, and a later run picks up only what is new. No login and no phone number; channel names come from the input list.

Get any public Threads account by username: bio, follower count, verification, avatar and topic tags. No Threads login or account needed.

Collects TikTok Shop products, sellers, categories, reviews, creator videos, trending items and recommendations through a single Actor. The mode is selected per run; each mode accepts its own identifier and returns that dataset's fields.

Export the products in any TikTok Shop category. Paste a category link and get each listing with its price, star rating, units sold, brand, and variants — useful for sizing a niche or tracking what a category is pushing. Turn on product details to add the full page to each row.

Audit a TikTok Shop product and get one 0-100 health score back, broken into review, content, keyword, competitive, creator, category and shop dimensions — each with a ranked, evidence-backed list of specific fixes. Deterministic scoring, not an AI summary; toggle off any dimension to control cost.

See what TikTok Shop recommends next to any product. Choose a carousel — 'you may like', 'more from this shop', or the seller's top-reviewed items — and export every product it shows, with prices, ratings and units sold.