Instagram Follower Scraper | $0.1/1K Items | Pay as result avatar

Instagram Follower Scraper | $0.1/1K Items | Pay as result

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Pay $0.10 for 1,000 FollowerIds

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Instagram Follower Scraper | $0.1/1K Items | Pay as result

Instagram Follower Scraper | $0.1/1K Items | Pay as result

kaitoeasyapi/instagram-follower-scraper
Try for free

Pay $0.10 for 1,000 FollowerIds

$0.1 per 1000 Instagram followers! No rate limit ! The most affordable Instagram data scraper. Get instant access to follower lists. Trusted by marketing pros for accurate social data. Lightning - fast extraction, 99.9% success rate. Start collecting valuable Instagram data today!

Scrape single-page in Python template

A template for web scraping data from a single web page in Python. The URL of the web page is passed in via input, which is defined by the input schema. The template uses the HTTPX to get the HTML of the page and the Beautiful Soup to parse the data from it. The data are then stored in a dataset where you can easily access them.

The scraped data in this template are page headings but you can easily edit the code to scrape whatever you want from the page.

Included features

  • Apify SDK for Python - a toolkit for building Apify Actors and scrapers in Python
  • Input schema - define and easily validate a schema for your Actor's input
  • Request queue - queues into which you can put the URLs you want to scrape
  • Dataset - store structured data where each object stored has the same attributes
  • HTTPX - library for making asynchronous HTTP requests in Python
  • Beautiful Soup - library for pulling data out of HTML and XML files

How it works

  1. Actor.get_input() gets the input where the page URL is defined
  2. httpx.AsyncClient().get(url) fetches the page
  3. BeautifulSoup(response.content, 'lxml') loads the page data and enables parsing the headings
  4. This parses the headings from the page and here you can edit the code to parse whatever you need from the page
    for heading in soup.find_all(["h1", "h2", "h3", "h4", "h5", "h6"]):
  5. Actor.push_data(headings) stores the headings in the dataset

Resources

Getting started

For complete information see this article. In short, you will:

  1. Build the Actor
  2. Run the Actor

Pull the Actor for local development

If you would like to develop locally, you can pull the existing Actor from Apify console using Apify CLI:

  1. Install apify-cli

    Using Homebrew

    brew install apify-cli

    Using NPM

    npm -g install apify-cli
  2. Pull the Actor by its unique <ActorId>, which is one of the following:

    • unique name of the Actor to pull (e.g. "apify/hello-world")
    • or ID of the Actor to pull (e.g. "E2jjCZBezvAZnX8Rb")

    You can find both by clicking on the Actor title at the top of the page, which will open a modal containing both Actor unique name and Actor ID.

    This command will copy the Actor into the current directory on your local machine.

    apify pull <ActorId>

Documentation reference

To learn more about Apify and Actors, take a look at the following resources:

Developer
Maintained by Community

Actor Metrics

  • 14 monthly users

  • 1 star

  • 79% runs succeeded

  • Created in Dec 2024

  • Modified 5 days ago