Scrape public Telegram channels without a Telegram account. Complete post history back to the first message, keyword search across many channels at once, view counts, emoji reactions, forward attribution and reply threads. No phone number, no session string. Pay per post, failures are free.
Put a list of competitor channels in and get every post side by side with subscriber counts, views, reactions and posting cadence. See what a rival publishes, how often, and what actually lands. No Telegram account needed. Failures are free.
Turn public crypto and trading channels into a structured feed. Every post carries its tickers, any wallet or contract addresses, sentiment, views and reactions. Built for backtesting and channel comparison, not for following calls. No Telegram account needed.
Export a public channel straight to CSV, JSON, Excel or XML with one run. Flat, documented columns with no nulls where a value exists, ready for a spreadsheet or a database load. No Telegram account needed. Failures are free.
Export every post with its exact view count and its full emoji reaction breakdown, including paid Star reactions and custom emoji. Find what actually performs on a channel instead of guessing. No Telegram account needed.
Watch a list of public Telegram channels for a keyword and get only the posts that match. Runs on a schedule and bills only the new hits, so a daily watch costs what the day produced. No Telegram account needed. Failures are free.
Follow public news channels on Telegram and collect their posts as clean rows with timestamps, views and links. Schedule it and each run returns only what was published since the last one. No Telegram account needed.
Turn TikTok handles into creator records: exact follower, like and video counts, bio, the link in the bio, verification, region and account age. Not TikTok's rounded numbers. Failures are free.
Track TikTok follower and engagement counts on a schedule. Exact numbers, not rounded. On a re-run you are billed only for creators whose counts actually moved; unchanged rows are free.
Used by trend researchers and campaign teams tracking what runs under a tag. TikTok hashtag scraper: give it a hashtag and get the videos under it, each with exact play, like, comment, share and save counts, the creator, the sound and the duration. No login. Charged per video delivered.
Used by social teams, agencies and creator-analytics pipelines tracking TikTok at scale. TikTok scraper for videos and creator profiles, 30+ fields each: exact play, like, comment, share and save counts, hashtags, sound and duration. Exact numbers, not rounded. No login. Failures free.
Used by analytics pipelines that need TikTok stats per URL, on a schedule. TikTok video scraper: paste video URLs for 30+ fields each, exact play, like, comment, share and save counts, hashtags, sound, duration and the creator. No login. Deleted videos cost nothing.
Every review of a restaurant, hotel or attraction on TripAdvisor, not just the first page: rating, title, full text, reviewer with home city and contribution count, date of visit, trip type and the per-review permalink. Re-runs bill only what is new. Failures are free.
Put your competitors side by side using their own Trustpilot data: TrustScore, the full 1-to-5 star spread, review volume and 12-month trend, what share of complaints each one answers and how fast, plus the actual negative reviews. Pay per review.
Export as much of a company's Trustpilot review history as the public pages will serve to CSV, JSON or Excel. Every field: rating, title, text, dates, language, verification, reviewer country and history, company reply, branch. Ships a coverage report saying exactly what it reached. Pay per review.
Pull the contact details companies publish on their Trustpilot profile: email, phone, street address, city and postcode, alongside TrustScore, star rating, review volume, categories and country. One request per company, no review charges. Pay per company.
Qualify B2B leads from Trustpilot profiles: TrustScore and star rating, review volume and 12-month trend, categories, country, published contact details, whether the profile is claimed, and how much of its negative feedback the company answers. Pay per company.
Collect only the 1 and 2 star reviews for any company on Trustpilot, with the full complaint text, the date, the reviewer's country, and whether the company replied and what it said. Filtering by rating also reaches deeper history than an unfiltered scrape. Pay per review.
Watch any list of companies on Trustpilot and get only the reviews you have not already had. Remembers every review it delivered, so a daily or weekly schedule bills you for new feedback and nothing else. Ratings, full text, company replies, reviewer country. Pay per new review.
Scrape every reachable Trustpilot review for any company: star rating, full text, the company reply, verification status, reviewer country and history, and the branch. Gets past the 200-review search ceiling, returns all languages not just English, and reports what it reached. Pay per review.
Get the rating side of Trustpilot for a list of companies without paying for review text: TrustScore, star rating, total reviews and 12-month volume, the exact 1-to-5 star breakdown, and the review count for every language. One request per company. Pay per company.
Return only the Trustpilot reviews that carry a verification label, with the verification level and source alongside the rating, text, date and company reply. Every row also says whether Trustpilot has filtered or flagged it, so you can tell a clean review set from a disputed one. Pay per review.
Scrape Vinted listings, prices, sellers and reviews across 27 country markets. Goes past Vinted's hard 960-item search cap and reports exactly how complete each run was. Export to CSV, Excel, JSON or API.
Turn a list of website URLs into clean CRM rows: verified emails (MX-checked, role-tagged), E.164 phones, and social profiles — one de-duplicated row per company. You pay only per company we find a real contact for; empty and failed sites are free. Junk addresses and numbers are filtered out.