TikTok Hashtag Scraper

Yes — a public hashtag feed is public data. The videos, captions and creator profiles under a hashtag are there for anyone who taps it, and we collect nothing more. The full picture is in our guide to the legality of web scraping.

No login required. No account, no cookie, no session to sync, nothing to install. Type the hashtag, hit run, and go do something more interesting while the feed empties itself into your spreadsheet.

54 data points per video. Description, hashtags and mentions, publication date, plays, likes, comments, shares, saves and reposts, length, video and cover links, music title, author and copyright status — plus the creator's bio, badge and follower counts.

Around 200 videos a minute. One hashtag or a hundred, the pace holds steady until the feed runs dry or your cap is reached, so an overnight trend audit is finished long before the morning stand-up.

Usually 400 to 800 videos per hashtag. That ceiling belongs to TikTok, not to us — the feed simply stops serving past it. Set a cap per hashtag, or one for the whole run, when you want a smaller slice than that.

Yes — drop as many hashtags into the list as you like, with or without the leading #. Every row names the hashtag it came from, so comparing three niches side by side takes one run and one export, not three of each.

Yes — every row carries its rank in the feed, the position the video held when it was collected, along with the date and time of collection. Run the same hashtag on a schedule and watch content climb or sink.

Yes — sounds included. Music title, author, length, cover and play link, plus whether it is an original sound and whether it is copyrighted. The quickest way to spot the track a niche is currently wearing out.

Yes — the creator rides along with the video. Username, nickname, bio, verified badge, private-account marker, followers, following, total likes, video count and avatar, all on the same row. No second scrape to match up.

Wherever you already work. Google Sheets, Make, n8n, Amazon S3, email and webhooks — plus our MCP server, so Claude or ChatGPT can fire off a run and read the results back. CSV, Excel and JSON downloads too. See all integrations.

Hashtag, such as smallbusiness. Paste thousands at once or upload a CSV; duplicate inputs are skipped. 2 settings shape the run: see them in the playground.

54 data attributes per video, each with its description and an example: see the full list.

No. Duplicates are removed, and you only pay for unique results.

As fresh as your run: each run collects the data from the site at the moment it runs, nothing comes from a stored database.

CSV, Excel or JSON from the dashboard, through the API, or sent after every run to Google Sheets, Amazon S3, an SFTP server, a webhook or by email.

7 days on the free plan, 45 days on Starter and Pro, 90 days on Team and Business. Then they can no longer be downloaded. Download or deliver what you want to keep.

Around 200 videos a minute for one squid. Your plan's slots run several squids at the same time.

97.58% of its runs had no incident over the last 90 days (19 incidents, 100% fixed). Every day is on this page.

Our team fixes the scraper: every scraper on lobstr.io is built and maintained by us. Over the last 90 days, the median time to fix this one was 3h 11min. How we measure.

Yes, on paid plans: every hour, every day, every weekday or on a custom schedule, in your time zone.

Yes: set the most results per task and per run in the settings. The run stops there and so does the bill.

1 credit per result. The playground shows the price as you pick them.

Yes. The free plan gives 100 credits every month, 100 results with this scraper, with exports capped at 30 rows.

Every month a plan gives credits, which pay for results, and slots, which set how many squids run at the same time. Starter: $20 for 10,000 credits; Pro: $100 for 100,000 credits; Team: $500 for 1,000,000 credits. Upgrades start right away and are prorated; downgrades and cancellations take effect at the end of the cycle.

No. Your credits refresh every month with your plan.

You choose, per squid: pause and pick up where it stopped, or end the run. To keep going, upgrade or reset your billing cycle: your plan renews right away and your credits come back. Auto Billing Reset does it for you when your usage crosses a threshold you set.

Yes: paying yearly takes 20% off every plan.

A monthly plan: within 10 days of the charge, if no credit was used in that period. A yearly plan: within 30 days, in full if no credit was used, otherwise minus one month. Cancel from your billing page, then write to contact@lobstr.io. The details are in the terms of use.

Collecting publicly available data is generally allowed, but you choose what you collect and you are responsible for how you use it. Our terms of use (article 6) ask every user to respect the rights of the sites, not to extract substantial parts of a database, not to access confidential data and to follow personal data law such as the GDPR. This is not legal advice.

When results contain personal data, you are the data controller and lobstr.io, a French company, processes them on your behalf, under our personal data agreement. You need a lawful basis for what you collect, must inform the people concerned and honor their requests.

Results: 7 days on the free plan, 45 days on Starter and Pro, 90 days on Team and Business, then they can no longer be downloaded; you can delete them sooner. Your account data: see the privacy notice.

Yes, through the REST API at https://api.lobstr.io/v1, with your key from the dashboard. The playground’s Code tab writes the calls for your settings, in cURL and Python. The documentation has the full reference.

Yes. Add our MCP server, https://mcp.lobstr.io/mcp, to Claude, ChatGPT, Cursor or any MCP client and sign in with lobstr.io. Your agent shows the cost and asks you before a run spends credits. The playground’s Agent tab gives you a prompt.

No. Credits pay for results, not for requests.

Yes. Point a webhook at your server and lobstr.io calls it when a run succeeds or fails.

Yes, per endpoint: 120 requests a minute on squids and runs, 90 on tasks, 2 a second on results. Above that the API answers 429 with a Retry-After header.