The Netaji

Scrape TikTok videos, profiles, hashtags & more with our fast and reliable TikTok scraper. Get real-time data for analysis, marketing & research. Easy to use & powerful. Try now!

Export customer reviews from any TikTok Shop product. Every review comes back with its star rating, text, photos, the variant bought, and whether TikTok verified the purchase. Filter to one star rating, to reviews with media, or to confirmed buyers only.

Find public TikTok ads from brands and competitors. Search by keyword or advertiser, choose a country and date range, and export ad text, delivery dates, audience estimates, impressions, and creative URLs. Optionally add targeting details or an advertiser activity report.

Collect a public Facebook Page's details: its ID, category, contact information, website and social links, and Page Transparency information such as creation date, ad status and confirmed owner. No Facebook login is used.

Find a company's C-level, VP, Head, and Director staff and a work email for each. Everyone is bound to a current role there — ex-employees and name-drops are dropped, not shipped. Email formats are derived from addresses the company itself publishes, and that evidence ships with every row.

Reads a Reddit account's comment history from the feed Reddit dedicates to it, and saves one row per comment with the body, score, community, creation time, and address. Long histories page automatically, a run resumes where an earlier one stopped, and no comment is returned twice.

Search TikTok Shop for any keyword and export what sells. Every result carries its title, image, price, star rating, units sold, seller, and variants — with the shops matching your keyword collected alongside. Turn on product details to add the full page to each row.

Extract direct video download links from any webpage! Customize crawling with regex, export in multiple formats, and automate video collection. Fast, efficient, and cheap—try now!

Extract related LinkedIn profile suggestions from one or more seed profiles, with optional full profile enrichment for each related user.

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.

Search LinkedIn jobs by keyword and location with date, experience, job-type, and workplace filters, paginate through results, and optionally enrich each job with the full posting.

Turn website domains into technology profiles with current and historical detections, first and last seen dates, categories, product links, visibility counts, and the published monthly technology-spend estimate.

Fetch full public LinkedIn company page details — industry, size, headquarters, specialties, similar and affiliated pages, and recent updates — for one or more company handles or URLs.

Get product and search results from holland and barrett.

Collect everything a public X account has posted, starting from nothing but its handle. Every post arrives as one clean row: what was said, when it was said, and how far it travelled. Several accounts in one run, and no X login, cookie or account anywhere in it.

Search Instagram by hashtag or keyword for public media, optionally fetching full media details for each result.

Export a 2GIS business's written reviews with the stars, full text, both dates, the reviewer's name and review count, the photo count and the business's own reply. Each row names which source it came from, because 2GIS aggregates Flamp, Booking and others under one listing.

Search Google Maps for a kind of business in an area and get each one's contact details: the phone and address from the listing, plus the emails and social profiles found by crawling its website. Covers areas larger than one map view by tiling them.

Search 206 cities across Russia, the CIS, the Gulf, Czechia, Italy and Chile for businesses by name or category. Rows carry the address, coordinates, categories, opening hours and ratings — and a flag on every one saying whether 2GIS matched your query or quietly returned something else.

Search the Meta, Google, TikTok, and LinkedIn ad libraries for a competitor's ads, then take the videos apart: a word-timed transcript, the cut list, and a teardown of the hook, offer, CTA, and claims. Run the search on its own for a fast ad export, or analyse video URLs you already have.

Read a software product's Capterra profile from its page address: the vendor's full description, the aggregate rating and review count, supported platforms, Capterra's own category for it, and the product Q&A that the reviews page does not carry.

Export the listings in any eBay category. Paste a category link and page through the whole thing — useful for sizing a niche or tracking what a category carries. Turn on item details to add price, condition, brand and specs to every row.

Look up individual Facebook Marketplace listings by ID or URL and collect the title, price, location and full detail record, with related listings on request.

Export a software category in its ranked order, with every product's name, rank, aggregate rating, review count and price band. Each row also carries what reviewers praise and complain about, summarised — a field published on the category listing and on no product page.