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from $0.12 / 1,000 account returneds

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X (Twitter) Engagement Scraper | $0.15/1K | Who Engaged

Try for free

Find out who amplified a post on X (Twitter). Export the accounts that reposted it, liked it, quoted it or replied to it, each with handle, name, bio, follower counts, verification and the text they wrote. The warmest lead list a launch can produce, as JSON, CSV or Excel. By FeedMiner.

Pricing

from $0.12 / 1,000 account returneds

Rating

0.0

(0)

Developer

FeedMiner

Actor stats

Bookmarked

Total users

Monthly active users

8 hours ago

Last modified

Categories

Social media

Lead generation

Marketing

You can access the X (Twitter) Engagement Scraper | $0.15/1K | Who Engaged programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": ["https://x.com/elonmusk/status/1519480761749016577"],
10    "maxItems": 1000,
11    "sessions": [{
12            "label": "account-1",
13            "authToken": "",
14            "ct0": "",
15        }],
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("feedminer/x-engagement-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
23for item in client.dataset(run.default_dataset_id).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

X (Twitter) Engagement Scraper | $0.15/1K | Who Engaged API in Python

The Apify API client for Python is the official library that allows you to use X (Twitter) Engagement Scraper | $0.15/1K | Who Engaged API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

X (Twitter) Engagement Scraper | $0.15/1K | Who Engaged API in JavaScript

X (Twitter) Engagement Scraper | $0.15/1K | Who Engaged API through CLI

X (Twitter) Engagement Scraper | $0.15/1K | Who Engaged OpenAPI definition

X (Twitter) Engagement Scraper | $0.15/1K | Who Engaged API

X (Twitter) Likes and Reposts Scraper | $0.12/1K | Per Account

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See what an X (Twitter) account reacts to, not what it publishes. Export the posts it reposted, replied to or liked, each with the original author and full engagement metrics. The intent signal a timeline never shows, for lead scoring and account research. JSON, CSV or Excel. By FeedMiner.

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Export the followers and following of any X (Twitter) account, plus its verified followers and the members of any X list. One row per account with handle, name, bio, follower and following counts, verification, location, links and join date, exported as JSON, CSV or Excel. Flat price. By FeedMiner.

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Scrape trending topics on X (Twitter) country by country. One row per trend with its rank, its category, the post volume when X publishes one, and a ready to open search link. Schedule it and build the trend history X itself does not keep, as JSON, CSV or Excel. By FeedMiner.

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Search X (Twitter) for user profiles matching any keyword or phrase and export bios, follower counts, and verification status to a dataset.

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Find every X (Twitter) post linking to a domain or specific page, with author and engagement data. Track who shares your site, a competitor's, or any article.

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Export photos, videos and gifs from X (Twitter) accounts or posts. One row per attachment with every video encoding, bitrate, dimensions, duration, alt text, preview image, and the parent post with its author and engagement. Direct links, ready to download, as JSON, CSV or Excel. By FeedMiner.

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Powerful Twitter/X profile scraper that extracts user data, follower counts, bio information, and verification status. Works with usernames or full Twitter/X URLs. Ideal for social media research, influencer analysis, and bulk data collection.