
import.io
Octoparse
Apify
ParseHub
Data Miner
Kimono
Crawlera
Get data from web pages automatically

CircleBoom
Xtract Replies
ThreatCop
twtData
ExportData.io
Fedica
Tweet Binder
TweetExporter turns any public Twitter/X data into a clean spreadsheet. Export follower and following lists, a profile's tweets, or every tweet matching a search query and date range. Download as CSV, Excel or JSON. Buy credits once and pay per row

Which is more popular?
Based on our record, Diffbot seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | diffbot.com | tweetexporter.com |
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| Company | — | Startup from the United States |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of TweetExporter yet.
Walkthroughs and reviews on video.
Correcting Diffbot API Output Using the Custom API Toolkit
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Diffbot and TweetExporter.
TweetExporter's answer:
TweetExporter is built for one-off exports, not subscriptions. Most Twitter/X data tools lock exports behind a monthly plan you'll use twice. TweetExporter charges per exported row from a prepaid credit balance: you see a cost estimate before ordering, you pay only for rows actually delivered, and unused credits never expire. No API keys, no developer account, no recurring bill.
TweetExporter's answer:
Because you probably don't need a subscription — you need one clean spreadsheet. Competitors like Circleboom or TweetBinder are monthly-plan suites; TweetExporter does the export and gets out of your way. You get honest pricing (charged only for delivered rows, the rest refunded to your balance), large exports handled properly (chunked Excel/CSV/JSON, zipped), and 50 free credits to test it without a credit card.
TweetExporter's answer:
Marketers and community managers auditing an audience, researchers and journalists collecting tweet datasets for analysis, OSINT analysts, and founders sizing up a competitor's followers. In short: anyone who needs public X data in a spreadsheet occasionally — not as a monthly workflow.
Share your experience with using Diffbot and TweetExporter. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Diffbot uses computer vision, unlike any other tools to identify relevant information on a page. As long as the page looks the same visually, the web scrapers will never break even if the HTML structures change.
The 600 lbs gorilla, Diffbot, comes with a swath of solid APIs but starts at $300, which is ridiculous if you’re just extracting text. Scrapinghub’s News API, Extractor API, and plenty more are better priced if you...
We have no reviews of TweetExporter yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


I work in non-profit/social impact and I'm trying to get a snapshot of themes/issues that concern a subset of organizations (say a total of 500) in our network via news/articles that these orgs may have published or that these orgs may... Source: about 4 years ago
Tracking TweetExporter since Aug 2026.
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