Gab Search Scraper
Pay $1.00 for 1,000 results
Gab Search Scraper
Pay $1.00 for 1,000 results
Scrape search results and accounts and groups' info as well as the posts and comments of accounts and groups from Gab's website. Download your data in any format (JSON, CSV, XML, RSS, HTML Table). Seamless integration with apps, reports, and databases.
You can access the Gab Search Scraper programmatically from your own Python 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 Integrations settings in Apify Console.
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": [],
10 "searchQueries": ["Cat"],
11 "searchType": "TOP",
12 "desiredPostsCount": 100,
13 "desiredCommentsCount": 0,
14 "desiredAccountsCount": 10,
15 "desiredGroupsCount": 10,
16 "accountPostsSortBy": "NEWEST",
17 "groupPostsSortBy": "NEWEST",
18 "commentsSortBy": "MOST_LIKED",
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("web.harvester/gab-search-scraper").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27 print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startGab Search Scraper API in Python
The Apify API client for Python is the official library that allows you to use Gab Search Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Web Harvester- 4 monthly users
- 3 stars
- 100.0% runs succeeded
- Created in Jun 2023
- Modified 8 months ago
