The Netaji

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.

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.

Provide a Seek company slug or profile link and export its name, profile text, claimed status, culture, benefits, awards and review rating.

Search Seek by keyword and location and export each matching posting with its title, advertiser, location, pay, work types and listing dates.

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 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.

Retrieve TikTok hashtags, sounds, profiles, or videos from one Actor. Select a mode and receive the corresponding structured dataset.

Retrieve a TikTok hashtag record and optionally collect videos published under it with captions, creators, engagement counts, covers, and sounds.

Compare repeated TikTok Shop product checks and report observed changes to prices, stock, promotions, ratings, reviews, sellers, and titles.

Map TikTok Shop products to public showcase videos and creators, with observed engagement, labels, thresholds, and evidence edges for practical commerce research.

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.

Mine what surrounds a TikTok Shop search. Choose what to collect — related search terms for keyword research, the shops ranking for a keyword, 'frequently bought together' bundles, or 'recommended for you' products — and export it for any keyword and storefront.

Retrieve TikTok videos associated with a sound ID or link, including creators, captions, post times, and engagement counts.

Export a city's TripAdvisor hotel, restaurant or attraction listings in TripAdvisor's own ranked order, with rating, review count, price band, contact and location on every row. List pages only — there is no detail or reviews endpoint behind this Actor.

The complete list of companies on Trustpilot: 874,063 profiles, as the exact keys the other four Trustpilot Actors take as input. It is a list of names rather than a dataset of scores, and it is where a whole-market study starts instead of a keyword guess.

Benchmark how a company handles its Trustpilot reviews. Every row states what share it answers, how long it takes, how many negative reviews got a reply and when the last one was. Trustpilot's own page shows none of those numbers. Contact details and the star split come with it.

Export a company's Trustpilot reviews, several companies in one run. Every review arrives with its rating, text, dates and the company's reply, plus the two fields that separate a genuine complaint from a solicited five star: who invited the review, and how many the writer has ever left.

Read Walmart product pages in bulk. Paste one product link or a whole list and each comes back as a structured record of everything the page publishes.

Search Walmart for any keyword and export the products it returns, each with its item ID and product page link. Turn on product details to add the full product page to every row.

Retrieve Weibo posts, comments, likers, profiles, account videos, searches, or hot-search entries from one Actor. Select a mode for the corresponding dataset.