Twitter (X.com) Scraper Unlimited: No Rate-Limits avatar
Twitter (X.com) Scraper Unlimited: No Rate-Limits

Pricing

Pay per event

Go to Store
Twitter (X.com) Scraper Unlimited: No Rate-Limits

Twitter (X.com) Scraper Unlimited: No Rate-Limits

apidojo/twitter-scraper-lite

Developed by

API Dojo

Maintained by Community

Introducing Twitter Scraper Unlimited, the most comprehensive Twitter data extraction solution available. Our enterprise-grade scraper offers unmatched capabilities with a transparent event-based pricing model, making it perfect for both small-scale and large-scale data extraction needs.

4.5 (6)

Pricing

Pay per event

108

Monthly users

1.1k

Runs succeeded

86%

Response time

2.1 hours

Last modified

4 hours ago

TH

Only getting 10 Results in one Run

Closed
thecruelcritic opened this issue
5 days ago

Hi, I am on free tier. I am getting only 10 tweets per run even when I set max tweets as 100 or 1000. It never goes beyond 10 tweets. Is there a limit on free tier or I am missing something?

TH

thecruelcritic

5 days ago

Ok got my answer from the log.

2025-03-26T19:50:48.919Z INFO If the cost reaches the limit, the actor will exit. The limit is $0.02.

Pricing

Pricing model

Pay per event 

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Search/Profile/List etc Query

$0.016

Price for processing a search term, profile handle, or Twitter query. Includes first ~40 results.

Single Tweet URL Query

$0.050

Price for retrieving data from a specific tweet URL.

Dataset Item Tier 1

$0.000

Pricing for dataset items in small batches (≤5 queries per run).

Dataset Item Tier 2

$0.001

Pricing for dataset items in medium batches (6-10 queries per run).

Dataset Item Tier 3

$0.001

Pricing for dataset items in regular batches (11-30 queries per run).

Dataset Item Tier 4

$0.002

Pricing for dataset items in large batches (31-100 queries per run).

Dataset Item Tier 5

$0.002

Pricing for dataset items in extensive batches (>100 queries per run).